JP2017006597A - Determination apparatus, determination method, and determination program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To decrease incontinence.SOLUTION: A management server 30 comprises an estimation unit 32 which estimates the urine volume produced based on the water volume taken in and the water intake time, and then compares the urine volume in the bladder estimated based on the produced urine volume with the capacity of the bladder to estimate the time at which a capacity level to be warned about is reached. The management server 30 also includes a notification unit 33 which issues a warning notification according to the result of estimation made by the estimation unit 32.SELECTED DRAWING: Figure 1

Description

  The present invention relates to a determination device, a determination method, and a determination program.

  In recent years, methods have been proposed for measuring biological information such as the amount of sweat and the amount of urine and using it for health management of humans or animals.

  As one of the health management using biological information, for example, an attempt to support the reduction of incontinence has been made. In the conventional incontinence reduction method, for example, an ultrasonic wave is transmitted from a sensor attached to the body to the bladder, and the reception time difference between the ultrasonic waves reflected by the front wall portion and the rear wall portion of the bladder is measured. When the difference in ultrasonic reception time is equal to or greater than the threshold value, it is determined that urine has accumulated in the bladder and a warning is output to urinate.

JP 2006-226919 A JP-A-8-80285 JP-A-8-52133

  However, since the conventional method for reducing incontinence uses a method for measuring the amount of urine in the bladder, no warning is output unless the amount of urine stored in the bladder exceeds a predetermined amount. That is, in a situation where the amount of urine stored in the bladder is less than a predetermined amount, a warning cannot be output to prompt urination. Therefore, for example, when a warning is output and there is a circumstance where it is not possible to go to the toilet, there is a possibility of incontinence.

  Thus, in the conventional method, since a warning is output when it is detected that urine has accumulated in the bladder, it is not possible to take measures in advance.

  In one aspect, an object of the present invention is to reduce incontinence by notifying a warning informing that there is a possibility of incontinence in advance.

  In one aspect, the determination device estimates the amount of urine generated after the intake time of water based on the amount of water taken and the time of water intake, and the bladder estimated based on the amount of urine generated An estimator for estimating a time for a volume value to be warned from the urine volume and the bladder capacity. Further, the determination device includes a notification unit that notifies a warning according to a result estimated by the estimation unit.

  As one aspect, there is an effect that incontinence can be reduced by notifying a warning notifying that there is a possibility of incontinence in advance.

It is a figure which shows an example of the incontinence suppression system which concerns on 1st Embodiment-5th Embodiment. It is a figure which shows an example of the external appearance of a wearable sensor. It is a figure which shows an example of the input screen of life information. It is a figure which shows an example of the data structure of personal characteristic DB. It is a figure which shows an example of the data structure of life information record DB. It is a figure which shows an example of a response | compatibility with urination scheduled time and incontinence scheduled time. It is a figure which shows an example of a structure in the case of implement | achieving the management server which concerns on 1st Embodiment-5th Embodiment with a computer. It is a flowchart which shows an example of the flow of a judgment process. It is a flowchart which shows an example of the flow of an individual characteristic and life information acquisition process. It is a flowchart which shows an example of the flow of a disease type coefficient setting process. It is a flowchart which shows an example of the flow of a bladder urine volume estimation process. It is a flowchart which shows an example of the flow of an alert notification process. It is a flowchart which shows an example of the flow of sequential urine volume estimation processing. It is a figure which shows an example of a food moisture content table. It is a flowchart which shows an example of the flow of an individual characteristic and life information acquisition process. It is a flowchart which shows an example of the flow of a bladder urine volume estimation process. It is a flowchart which shows an example of the flow of an alert notification process. It is a figure which shows the example of the urination restriction time during highway movement. It is a flowchart which shows an example of the flow of a bladder urine volume estimation process. It is a figure which shows the example of the urination restriction time during highway movement. It is a figure which shows an example of the change of sleep depth. It is a figure which shows an example of a structure of the incontinence suppression system which concerns on 6th Embodiment. It is a figure which shows an example of a structure in the case of implement | achieving the management server which concerns on 6th Embodiment with a computer. It is a flowchart which shows an example of the flow of the alert notification process which concerns on 6th Embodiment. It is a flowchart which shows an example of the flow of an alert notification time slot | zone calculation process. It is a figure which shows the example of a state regarding the physiological phenomenon at the time of REM sleep and non-REM sleep. It is a figure which shows an example of a structure of the incontinence suppression system which concerns on 7th Embodiment. It is a figure which shows an example of a structure in the case of implement | achieving the management server which concerns on 7th Embodiment with a computer. It is a flowchart which shows an example of the flow of the alert notification process which concerns on 7th Embodiment. It is a schematic diagram explaining an example of the detection method of REM sleep.

  Hereinafter, an example of an embodiment of the disclosed technology will be described in detail with reference to the drawings. In addition, the same code | symbol is attached | subjected to the component and process which a function bears the same function through all the drawings, and the overlapping description may be abbreviate | omitted suitably.

(First embodiment)
FIG. 1 is a diagram illustrating an example of an incontinence suppression system 1 according to the first embodiment. The incontinence suppression system 1 includes a wearable sensor 10, an operation terminal 20, and a management server 30, for example. The wearable sensor 10 and the operation terminal 20 are connected via a communication line 50, and the operation terminal 20 and the management server 30 are connected via a communication line 51.

  The line types of the communication line 50 and the communication line 51 are not limited, and may be any line type such as an Internet line, an intranet line, or a dedicated line, and may be wired, wireless, or wired and wireless. Any connection form such as a mixture of the above may be used.

  FIG. 2 is a diagram illustrating an example of the appearance of the wearable sensor 10.

  Wearable sensor 10 is worn or carried by a subject (hereinafter referred to as a user) who wants to reduce the frequency of incontinence, that is, to suppress incontinence. The wearable sensor 10 is a device that measures a user's incontinence status and an average sweat amount per unit time, and includes a transmission unit 11, a urine sensor 12, and a sweat sensor 13.

  The urine sensor 12 is connected to the probe 14 and the transmission unit 11 that are installed in a region that is expected to be wetted by urine when incontinence, such as the underwear surface.

  The probe 14 includes, for example, a resistance element whose resistance value changes when wet with urine, and the urine sensor 12 monitors the resistance value of the probe 14 and determines whether or not the user is incontinent from the change in the resistance value of the probe 14. Detect. When the user's incontinence is detected, the urine sensor 12 transmits information indicating that the user has incontinence, that is, incontinence occurrence information to the transmission unit 11.

  On the other hand, the perspiration sensor 13 is connected to an attachment 15 attached to a region such as a user's skin that is expected to get wet with sweat when perspiration, and the transmission unit 11.

  Similarly to the probe 14, the attachment 15 includes a resistance element whose resistance value changes due to, for example, perspiration. The perspiration sensor 13 monitors the resistance value of the attachment 15 and estimates the user's perspiration amount from the resistance value of the attachment 15. Then, the sweat sensor 13 measures an average sweat amount per unit time such as 1 minute (hereinafter simply referred to as “average sweat amount”), and transmits the average sweat amount to the transmission unit 11.

  Note that the urine detection method using the urine sensor 12 and the average sweating measurement method using the sweat sensor 13 are merely examples, and are not limited to methods using changes in resistance values of the probe 14 and attachment 15, for example, monitoring changes in humidity. A known method such as a method can be applied. For example, a ventilation capsule method may be used in which sweat is ventilated with gas by supplying gas to a capsule covering the skin, and the amount of sweat is measured from the change in humidity of the ventilated gas.

  Further, the connection form between the urine sensor 12 and the probe 14 and the connection form between the sweat sensor 13 and the attachment 15 may be either wired or wireless. Is preferable.

  The transmission unit 11 transmits the incontinence occurrence information transmitted from the urine sensor 12 and the average sweating amount transmitted from the sweating sensor 13 to the operation terminal 20. As will be described later, the average sweating amount is used to estimate the urine volume in the user's bladder. Therefore, the transmission unit 11 may periodically transmit the incontinence occurrence information and the average sweating amount to the operation terminal 20, but each time receiving the information from the urine sensor 12 and the sweating sensor 13, the operation is performed with as little delay as possible. It is preferable to transmit to the terminal 20.

  On the other hand, the operation terminal 20 is an information device that includes a communication function and executes input / output and processing of various information, such as a personal computer, a smartphone, or a tablet terminal.

  For example, the operation terminal 20 records information related to the user's daily behavior, such as life information, such as water intake time and intake, urination time and urine output, bedtime, and wake-up time.

  The life information may be recorded on the operation terminal 20 by the user, but may be recorded by the user's family. Incontinence is often seen in children under elementary school age, but it is often difficult for the child to operate the operation terminal 20, and in this case, the guardian is in a position to supervise the user on behalf of the user. However, it is preferable to record life information on the operation terminal 20. Therefore, as an example, in the first embodiment, a description will be given on the assumption that a user's guardian inputs life information to the operation terminal 20. Hereinafter, the guardian of the user is simply referred to as “guardian”.

  The operation terminal 20 includes a relay function that receives the incontinence occurrence information and the average sweating amount from the wearable sensor 10 and transmits the information to the management server 30.

  Furthermore, the operation terminal 20 includes a warning function that generates at least one of vibration and sound at a timing instructed from the management server 30.

  The operation terminal 20 having such a function includes, for example, a sensor data receiving unit 21, a sensor data transmitting unit 22, an alert receiving unit 23, a vibrator 24, a speaker 25, a living information record transmitting unit 26, a display 27, and an input unit 28. including.

  The sensor data receiving unit 21 receives incontinence occurrence information and average sweating amount from the wearable sensor 10. Then, the sensor data receiving unit 21 transmits the received incontinence occurrence information and the average sweating amount to the sensor data transmitting unit 22.

  In order to uniquely identify a user, the sensor data transmission unit 22 receives an identifier (hereinafter referred to as a patient ID) previously assigned to the user by an administrator of the management server 30 and the current time information. Incontinence occurrence information and average sweating amount are transmitted to the management server 30.

  The sensor data receiving unit 21 and the sensor data transmitting unit 22 may periodically transmit the incontinence occurrence information and the average sweating amount to the transmission destination. However, from the viewpoint of estimation of the urinary bladder urine volume of the user described above, the sensor data receiving unit 21 and the sensor data transmitting unit 22 transmit each transmission without delay as much as possible every time the incontinence occurrence information and the average sweating amount are received. It is preferable to send it first.

  The alert receiving unit 23 is connected to the vibrator 24, the speaker 25, and the management server 30, and receives an alert notification, which is a notification instructing the user to output a warning prompting urination, from the management server 30. When the alert receiving unit 23 receives an alert notification, the alert receiving unit 23 turns on the vibrator 24 and vibrates the operation terminal 20 to output a warning to a person existing within the vibration detection range. Further, when the alert receiving unit 23 receives the alert notification, the alert receiving unit 23 outputs a sound from the speaker 25 and outputs a warning to a person existing within the sound reachable range.

  The alert receiving unit 23 may output a warning from either the vibrator 24 or the speaker 25 when the alert notification is received.

  The life information recording / transmitting unit 26 is connected to the display 27, the input unit 28, and the management server 30, receives the life information input from the input unit 28 by the guardian, displays it on the display 27, and inputs the life information. Is transmitted to the management server 30. At this time, the living information record transmitting unit 26 adds the patient ID assigned in advance to the user to the living information and transmits it to the management server 30.

  The input unit 28 receives life information input by the guardian to the operation terminal 20. The life information may be input with, for example, a touch panel, a keyboard, or a mouse, or may be input with voice.

  FIG. 3 is a diagram illustrating an example of a life information input screen displayed on the display 27 of the operation terminal 20.

  In the example of FIG. 3, the user's medication time, moisture intake time, bedtime, dressing time, urination time, wake-up time, and the like are recorded on the operation terminal 20. When recording the water intake time, the water intake is also recorded on the operation terminal 20. Further, when the urination time is recorded, the amount of urination is also recorded on the operation terminal 20. The bedtime is the time when the user closes his eyes and starts sleeping.

  On the other hand, the management server 30 receives the incontinence occurrence information, the average sweating amount, and the life information from the operation terminal 20, and uses personal characteristic information that is information related to the user's living body and is stored in the management server 30 in advance. Estimate the user's expected incontinence time. Then, the management server 30 determines when the user should urinate in order to prevent the user from incontinence during sleep based on the estimated scheduled incontinence time, and alerts the user when urination is recommended Is transmitted to the operation terminal 20.

  Therefore, the management server 30 includes, for example, functional units such as a sensor information reception unit 31, an estimation unit 32, a notification unit 33, and a life information record reception unit 34. Furthermore, the estimation unit 32 includes an intravesical urine volume estimation unit 35 and a scheduled urination time calculation unit 36, and the notification unit 33 includes an alert determination unit 37 and an alert notification unit 38.

  Further, the management server 30 includes, for example, a personal characteristic DB (DB) 39 for managing personal characteristic information and a life information recording DB 40 for managing life information.

  The sensor information receiving unit 31 is connected to, for example, the sensor data transmitting unit 22, the intravesical urine volume estimating unit 35, the storage unit storing the personal characteristic DB 39, and the storage unit storing the life information recording DB 40 of the operation terminal 20.

  When the sensor information receiving unit 31 receives the average sweating amount from the sensor data transmitting unit 22, the sensor information receiving unit 31 refers to the patient ID added to the average sweating amount and determines the average sweating amount corresponding to the patient ID managed in the personal characteristic DB 39. Update to the average sweat volume received.

  FIG. 4 is a diagram illustrating an example of a data structure of information managed by the personal characteristic DB 39. As illustrated in FIG.

  As shown in FIG. 4, in the personal characteristic DB 39, for example, a patient ID, a characteristic name, and characteristic information are associated with each other in the row direction and registered for each patient ID.

  Here, as the characteristic name, for example, individual characteristics such as disease type, urination restriction start time, urination restriction end time, average sweating amount, and maximum bladder capacity are registered, and in the characteristic information, each characteristic name is registered. Information corresponding to personal characteristics is registered.

  The disease type is an individual characteristic indicating the characteristics of the cause of incontinence of the user, and is roughly classified into three types of “bladder type”, “polyuria type”, and “mixed type”.

  The bladder type refers to a state in which incontinence is likely to occur because the bladder capacity is smaller than the average value of the bladder capacity of other users of the same age. The polyuria type refers to a state in which incontinence is likely to occur because the urine production rate at night is faster than the average value of urine production rates of other users of the same age. Moreover, the mixed type refers to a state having both incontinence causes of bladder type and polyuria type.

  The disease type is specified by, for example, a doctor performing a bladder capacity test, a urine output test performed at night, etc. on the user, and the specified user's disease type is stored in the personal characteristic DB 39 in advance. be registered.

  The urination restriction start time indicates a period during which the user must endure urination, that is, a start time of the urination restriction period. Specifically, for example, the scheduled bedtime of the user is registered in advance in the personal characteristics DB 39 as the urination restriction start time.

The urination restriction end time indicates the end time of the urination restriction period. Specifically, for example, the user's scheduled wake-up time is registered in advance in the personal characteristic DB 39 as the urination restriction end time. In the following, it represents the urination limit start time T _s, the urination limit end time T _e.

  As described above, the average perspiration amount of the user measured by the wearable sensor 10 is registered in the average perspiration amount, and each time the sensor information reception unit 31 receives the average perspiration amount from the sensor data transmission unit 22, Average sweat rate is updated.

  The maximum bladder capacity indicates the maximum amount of urine that a user can accumulate in the bladder. The maximum bladder capacity is specified by, for example, a bladder capacity test or examining the maximum value of micturition volume, and the specified maximum bladder capacity is registered in the personal characteristic DB 39 in advance.

  Note that the types of personal characteristics for each user registered in the personal characteristics DB 39 are not limited to the personal characteristics described in the characteristic name column of the personal characteristics DB 39 illustrated in FIG. The characteristics may also be registered.

  In addition, when receiving the incontinence occurrence information from the sensor data transmission unit 22, the sensor information receiving unit 31 refers to the patient ID added to the incontinence occurrence information, and the user corresponding to the patient ID is incontinence, that is, “please”. This is recorded in the life information record DB 40.

  FIG. 5 is a diagram illustrating an example of the data structure of the life information record DB 40.

  As shown in FIG. 5, in the living information record DB 40, for example, a patient ID, a time, a living information type, and a water amount are associated with each other in the row direction, and a sensor information receiving unit 31 or a living information record receiving unit described later is provided. By 34, the information regarding a user's living behavior is recorded for every patient ID.

  Here, the life information type is information representing the type of user's life behavior. For example, information such as “water intake” if the user takes water, “urination” if the user urinates, “sleep” if the user goes to bed, “wake up” if the user gets up, the life information is displayed on the operation terminal 20. It is recorded as a type.

  In addition, time information is added to life information such as incontinence occurrence information notified from the sensor information receiving unit 31 and life information notified from a life information record receiving unit 34 described later. Therefore, when the life information recording DB 40 records the life information type corresponding to the notified life information, the time information added to the life information is used as the time when the life action corresponding to the life information is performed. Record in the time column of the record DB 40.

  When the life information type is “water intake”, the life information record DB 40 converts the water intake information included in the life information received by the life information record receiving unit 34, which will be described later, into the water content of the life information record DB 40. Record in the Quantity column. In addition, when the life information type is “urination”, the life information recording DB 40 uses the information on the amount of urination contained in the life information received by the life information record receiving unit 34 described later as the water content of the life information recording DB 40. Record in the column. In other words, in the case of a life information type not related to the amount of water, such as “sleeping” and “wake-up”, the column of the amount of water in the corresponding life information record DB 40 is blank.

  In the life information recording DB 40 shown in FIG. 5, only the hour / minute information is recorded in the time column in order to record the life information for each user for the past 24 hours as an example. However, it goes without saying that in the life information recording DB 40, in addition to the hour / minute information, date information may also be recorded in the time column, and life information for each user for the past 24 hours may be recorded. Yes.

  The living information record receiving unit 34 is connected to the living information record transmitting unit 26 of the operation terminal 20, a storage unit for storing the personal characteristic DB 39, and a storing unit for storing the living information record DB 40, and receives from the living information record transmitting unit 26. The living information is recorded in the living information recording DB 40 for each patient ID.

  On the other hand, the intravesical urine volume estimation unit 35 is connected to a storage unit that stores the sensor information reception unit 31, the estimated urination time calculation unit 36, and the life information record DB 40.

  The bladder urine volume estimation unit 35 uses the amount of water taken, the time of water intake, the generation rate of urine, the amount of sweating from the time of water intake, and the amount of urine in the bladder at the time of water intake. The amount of urine in the bladder after the intake of water is estimated from the calculated formula.

  The amount of urinary bladder B (t) in the user at time t after the intake of water when the time of intake of water is set as a reference, that is, “t = 0”, is expressed by equation (1).

  Here, W (t) is the amount of water taken from time t = 0 to time t (water intake), N (t) is the user's urine production rate at each time t, and D (t) Represents the cumulative amount of sweating from time t = 0 to time t. B (0) represents the urine volume in the user's bladder at time t = 0.

  The intravesical urine volume estimation unit 35 acquires the water intake W (t) from the record of the water content included in the row data in which the life information type of the life information record DB 40 is recorded as “water intake”.

  The intravesical urine volume estimation unit 35 calculates the urine production rate N (t) using the following equation (2).

  Here, “c” is a disease type coefficient of the user, and is a coefficient indicating the function of the user's antidiuretic hormone. The smaller the value of the disease type coefficient, the stronger the action of the antidiuretic hormone and the lower the urine production rate N (t).

  For example, when the user is active, that is, when the user is not sleeping, “c = 1”, the user is sleeping, and the user is active even when the user's disease type is polyuria or mixed. As in the case of “c = 1”, “c = 1”.

  Originally, the antidiuretic hormone secreted during sleep is approximately twice that of the antidiuretic hormone secreted during activity, and the amount of urine produced is suppressed compared to that during activity. However, if the user's disease type is polyuria or mixed, the amount of antidiuretic hormone secretion will decrease even during sleep, and only the same amount of antidiuretic hormone as during activity may be secreted, The same disease type factor applies.

  On the other hand, when the user is sleeping and the disease type of the user is a bladder type, “c = 0.6”. This is because when the disease type is the bladder type, the function of adjusting the size of the bladder by the action of the autonomic nerves is often impaired, and the amount of antidiuretic hormone secreted during sleep is normal It is.

In the formula (2), a represents the speed of urine generation. If for example, at time t ₁ that the user urinated, intravesical urine volume B _t1 user immediately before urination at time t _1, since it is considered to be the same as the voided volume users at time t _1, (3) It is expressed by a formula.

Here, W is the amount of water ingested at time t = 0, and is a value obtained from the life information recording DB 40. T represents the elapsed time from time t = 0 to time t ₁ , D _t1 is the cumulative sweating amount from time t = 0 to time t ₁ , and is a user unit recorded in the personal characteristic DB 39. the average amount of perspiration per time, a time t _1, a value obtained from. Further, as described above, the urinary bladder volume B _t1 can be regarded as the user's urination volume at time t ₁ , and is a value obtained from the water volume corresponding to the urination record in the life information record DB 40. Therefore, the urine production speed a can be expressed as shown in equation (4) by transforming equation (3).

  It is assumed that every time the user urinates, the urine volume in the user's bladder becomes zero.

  Accordingly, the urine production rate N (t) is obtained from the disease type characteristic information and average sweating amount included in the personal characteristic DB 39, and the water intake amount, urination amount, and time information included in the life information record DB 40. Is obtained.

  On the other hand, as described in the process of acquiring the urine production speed a, the cumulative sweat amount D (t) is the average sweat amount per unit time recorded in the personal characteristic DB 39, the time t, The value obtained from B (0) is obtained by recursively calculating equation (1).

  Therefore, the bladder urine volume estimation unit 35 estimates the user's bladder urine volume B (t) using the equation (1), with the time t = 0 as the estimation start time.

  Furthermore, the bladder urine volume estimation unit 35 shifts the estimated start time of the user's bladder urine volume B (t) estimated immediately before by a predetermined unit time Δt, so that the user's bladder urine volume B (t ) Is repeatedly estimated to obtain urinary bladder volume B (t) corresponding to each estimated start time.

  Then, the intravesical urine volume estimation unit 35 outputs the intravesical urine volume B (t) corresponding to each estimated start time to the estimated urination time calculation unit 36.

  The estimated urination time calculation unit 36 is connected to a storage unit that stores an intravesical urine volume estimation unit 35, an alert determination unit 37 included in the notification unit 33, and a personal characteristic DB 39.

  The estimated urination time calculation unit 36 uses the intravesical urine volume B (t) received from the intravesical urine volume estimation unit 35 and the maximum bladder capacity acquired from the personal characteristic DB 39 to correspond to each estimated start time. The estimated incontinence time is calculated for each intravesical urine volume B (t). Here, the incontinence scheduled time means a time that the user is considered to be incontinent when it is assumed that the user will never urinate after urination.

  Further, the estimated urination time calculation unit 36 associates the urination time immediately before the calculated estimated incontinence time, that is, the estimated urination time. In the following, urination scheduled time is represented by u, and incontinence scheduled time is represented by T (u).

Specifically, the scheduled urination time calculation unit 36 sets 90% of the maximum bladder capacity as the bladder urine volume threshold B _th of the user having the maximum bladder capacity. Then, the estimated urination time calculation unit 36 refers to the urinary bladder volume B (t), calculates the time when the urinary bladder volume B (t) exceeds the urinary bladder volume threshold _Bth , and the calculated time is incontinence. The scheduled time is T (u). Further, the estimated urination time calculation unit 36 sets the estimated start time of the urinary bladder volume B (t) used for calculating the estimated incontinence time T (u) as the estimated urination time u.

  FIG. 6 is a diagram illustrating an example of the correspondence between the expected urination time u and the expected incontinence time T (u) for each intravesical urine volume B (t) corresponding to each estimated start time.

  As shown in FIG. 6, the scheduled urination time calculation unit 36 calculates a scheduled urination time u and a scheduled incontinence time T (u) for each bladder urine volume B (t) received from the bladder urine volume estimation unit 35. Associate.

  Furthermore, the scheduled urination time calculation unit 36 acquires the corresponding user's urination restriction end time from the personal characteristic DB 39. Then, the scheduled urination time calculation unit 36 calculates the urination restriction end time after the urination restriction end time from the plurality of scheduled incontinence times T (u) calculated for each intravesical urine volume B (t). Select the closest incontinence time T (u). Further, the scheduled urination time calculation unit 36 selects the scheduled urination time u corresponding to the selected scheduled incontinence time T (u).

  Further, the scheduled urination time calculation unit 36 outputs the selected scheduled urination time u to the alert determination unit 37.

  The alert determination unit 37 is connected to the scheduled urination time calculation unit 36, the alert notification unit 38, and the personal characteristic DB 39.

The alert determination unit 37 acquires the corresponding user's urination restriction start time T _s from the personal characteristic DB 39. Then, the alert determination unit 37 uses the acquired urination restriction start time T _s , the scheduled urination time u received from the scheduled urination time calculation unit 36, and the current time T _n according to a predetermined rule described later. The timing for outputting a warning to the user is determined.

  Thereafter, the alert determination unit 37 outputs an alert notification instruction to the alert notification unit 38 at the determined timing.

  The alert notification unit 38 is connected to the alert determination unit 37 and the alert reception unit 23 of the operation terminal 20, and outputs an alert notification to the alert reception unit 23 when an alert notification instruction is received from the alert determination unit 37.

  As described above, when the operation terminal 20 receives the alert notification, a warning is output from at least one of the vibrator 24 and the speaker 25 of the operation terminal 20 toward at least one of the user and the guardian. When the guardian recognizes the warning, the user is alerted to urinate. Hereinafter, at least one of the user and the guardian is represented by “user etc.”.

  Next, FIG. 7 shows an example of a configuration diagram when the management server 30 is realized by a computer.

  The computer 100 includes a CPU 102, a memory 104, and a nonvolatile storage unit 106. The CPU 102, the memory 104, and the nonvolatile storage unit 106 are connected to each other via a bus 108. The computer 100 also includes an input / output (I / O) 110 for connecting the input device 112 and the communication device 114 to the computer 100 to transmit / receive data to / from the computer 100, and the I / O 110 is connected to the bus 108. .

  The input device 112 includes a device for giving an instruction to the computer 100 by an administrator of the computer 100 such as a keyboard and a mouse. The input device 112 includes a reading device for reading data recorded on the recording medium 116 such as a CD-ROM or a flash memory.

  The communication device 114 includes an interface for connecting to the communication line 51 and transmits / receives data to / from the operation terminal 20 connected to the communication line 51. The storage unit 106 can be realized by an HDD (Hard Disk Drive), a flash memory, or the like.

  The storage unit 106 stores a determination program 120 for causing the computer 100 to function as the management server 30 shown in FIG. The determination program 120 stored in the storage unit 106 includes a sensor information reception process 122, an intravesical urine volume estimation process 124, a scheduled urination time calculation process 126, an alert determination process 128, an alert notification process 130, and a life information record reception process 132. including.

  The CPU 102 reads out the determination program 120 from the storage unit 106, expands it in the memory 104, and executes each process included in the determination program 120.

  The CPU 102 reads out the determination program 120 from the storage unit 106 and expands it in the memory 104, and executes the determination program 120, whereby the computer 100 operates as the management server 30 shown in FIG.

  Further, when the CPU 102 executes the sensor information reception process 122, the computer 100 operates as the sensor information reception unit 31 illustrated in FIG. Further, when the CPU 102 executes the bladder urine volume estimation process 124, the computer 100 operates as the bladder urine volume estimation unit 35 shown in FIG. Further, when the CPU 102 executes the scheduled urination time calculation process 126, the computer 100 operates as the scheduled urination time calculation unit 36 shown in FIG. Further, when the CPU 102 executes the alert determination process 128, the computer 100 operates as the alert determination unit 37 shown in FIG. Further, when the CPU 102 executes the alert notification process 130, the computer 100 operates as the alert notification unit 38 illustrated in FIG. Furthermore, when the CPU 102 executes the living information record receiving process 132, the computer 100 operates as the living information record receiving unit 34 shown in FIG.

  Further, the personal characteristic DB 39 is generated in the memory 104 by the CPU 102 developing the personal characteristic information stored in the personal characteristic information storage area 140 in the memory 104. Further, the life information recording DB 40 is generated in the memory 104 by the CPU 102 expanding the life information stored in the life information storage area 142 in the memory 104. Further, the CPU 102 expands the value stored in the constant storage area 144 in the memory 104, so that constants such as various threshold values used in the computer 100 are stored in the memory 104.

  The computer 100 can be realized by, for example, a semiconductor integrated circuit, more specifically, an ASIC (Application Specific Integrated Circuit) or the like.

  Next, the operation of the management server 30 according to the first embodiment will be described. The management server 30 according to the first embodiment executes the determination process at a specified time received from the operation terminal 20 together with the patient ID, for example.

The CPU 102 has a calendar function for managing the current time T _n , for example, and each process included in the determination program 120 uses the predetermined API (Application Programming Interface), for example, to obtain the current time T _n from the CPU 102. Can be acquired. However, the acquisition method of the current time T _n is not limited to this, and the current time T _n may be acquired from a time server connected to the communication line 51, for example.

  FIG. 8 is a flowchart illustrating an example of the flow of determination processing of the management server 30 according to the first embodiment.

  First, in step S100, the intravesical urine volume estimation unit 35 initializes the value of an end flag stored in advance in a predetermined area of the memory 104 to, for example, “0”. The end flag is a variable that takes a value of “0” or “1”, for example, and indicates whether to end the determination process.

  In step S200, the bladder urine volume estimation unit 35 acquires personal characteristic information and life information used to estimate the user's bladder urine volume B (t) from the personal characteristics DB 39 and the life information recording DB 40. If the personal characteristic information or life information used for estimating the user's bladder urine volume B (t) cannot be acquired in the process of step S200, the user's bladder urine volume B (t) can be obtained even if the subsequent processes are executed. Since estimation is difficult, the urinary bladder volume estimation unit 35 sets the value of the end flag to “1”. Details of the process executed in step S200 will be described later.

  In step S300, the intravesical urine volume estimation unit 35 acquires the value of the end flag from the memory 104, and determines whether or not the value of the end flag is “1”.

  When the value of the end flag is “1”, the management server 30 estimates the user's intravesical urine volume B (t) and the incontinence scheduled time T (u) estimated from the intravesical urine volume B (t). The determination process is terminated without performing alert notification to the user or the like based on the scheduled urination time u corresponding to.

  On the other hand, when the value of the end flag is other than “1”, that is, “0”, the process proceeds to step S400, and the subsequent processing is executed.

In step S400, the bladder urine volume estimation unit 35 changes the estimation start time, and estimates the user's bladder urine volume B (t) for each estimated start time. Then, the estimated urination time calculation unit 36 compares the bladder urine volume B (t) with the user's bladder urine volume threshold B _th for each estimated bladder urine volume B (t), and The estimated incontinence time T (u) is calculated, and the estimated urination time u corresponding to the calculated estimated incontinence time T (u) is associated.

Furthermore, urination estimated time calculation unit 36, in from the bladder urine volume B (t) a plurality of incontinence scheduled time calculated for each T (u), urination limit end time T _e and later, and terminates urination limit to select the closest incontinence scheduled time T a (u) to the time T _e.

  Further, the scheduled urination time calculation unit 36 selects the scheduled urination time u corresponding to the selected scheduled incontinence time T (u). That is, the scheduled urination time calculation unit 36 selects the scheduled urination time u which is a recommended urination time so that the user does not incontinence while sleeping.

  Details of the processing executed in step S400 will be described later.

In step S500, the alert determination unit 37 outputs a warning to the user or the like according to a predetermined rule to be described later using the urination restriction start time T _s , the selected scheduled urination time u, and the current time T _n. The timing to perform is determined.

  Then, the alert notification unit 38 outputs an alert notification to the operation terminal 20 at the timing determined by the alert determination unit 37, thereby giving a warning prompting the user to discharge urine before the scheduled incontinence time T (u). Etc. Therefore, it is possible to reduce the frequency of incontinence while the user is sleeping, that is, to suppress incontinence. Details of the processing executed in step 500 will be described later.

  The determination process is completed by the above process.

  Next, details of the processing in step S200 of FIG. 8 will be described.

  FIG. 9 is a flowchart showing an example of the flow of personal characteristic / life information acquisition processing in step S200.

  First, in step S <b> 105, the intravesical urine volume estimation unit 35 acquires each personal characteristic information related to the patient ID received from the user or the like from the personal characteristic DB 39. Then, the intravesical urine volume estimation unit 35 stores each acquired personal characteristic information in a predetermined area of the memory 104.

  The intravesical urine volume estimation unit 35 acquires each piece of life information related to the patient ID received from the user or the like from the life information recording DB 40 and stores each piece of acquired life information in a predetermined area of the memory 104.

In step S110, the urinary bladder volume estimation unit 35 acquires information indicating the alert notification possible period from a predetermined area of the memory 104, and determines whether or not the current time _Tn is within the alert notification possible period. .

  For example, even when a warning prompting urination is output to the user or the like during a time period when the user is active, such as during the daytime, the user is sleeping while compared to a case where a warning prompting urination is output before the user enters sleep preparation. The effect of suppressing incontinence may be reduced.

Thus, for example, from 3 hours prior to urination restriction start time T _s, the time to micturition limit end time T _e is defined as the alert notification period, intravesical urine volume estimation unit 35, the current time T _n alert notification It is determined whether it is within the period.

Note that the start time of the alert notification possible period is one hour before the urination restriction start time T _s is an example, and the start time of the alert notification possible period according to the user's situation is registered in the personal characteristic DB 39, for example. You may do it.

If the determination process in step S110 is affirmative, the process proceeds to step S115. On the other hand, in the case of negative determination, for example, since it is not a time zone in which the user or the like desires notification of a warning, the current time T _n is not within the alert notification possible period. Accordingly, the process proceeds to step S155, and the intravesical urine volume estimation unit 35 sets the value of the end flag stored in the memory 104 to “1”, and ends the personal characteristics / life information acquisition process.

  In step S115, the urinary bladder urine volume estimation unit 35 determines whether or not there is a record of “water intake” as the life information type in a predetermined area of the memory 104 in which the life information is stored. And in affirmation determination, it transfers to step S120. On the other hand, in the case of negative determination, since the user's water intake is unknown, the user's bladder urine volume B (t) cannot be estimated, so the process proceeds to step S155, and the bladder urine volume estimating unit 35 The value of the end flag stored in the memory 104 is set to “1”.

  In step S <b> 120, the urinary bladder volume estimation unit 35 acquires, as a water intake amount, a water amount corresponding to “water intake” as the life information type from a predetermined area of the memory 104 in which the life information is stored. Further, the intravesical urine volume estimation unit 35 acquires the water intake time from a predetermined area of the memory 104 in which life information is stored.

  In step S125, the bladder urine volume estimation unit 35 acquires information about whether or not the user is sleeping and information about the user's disease type from the memory 104, and estimates the user's bladder urine volume B (t). The disease type coefficient setting process for setting the disease type coefficient c used in the above is executed.

  FIG. 10 is a flowchart illustrating an example of the flow of the disease type coefficient setting process executed in the process of step S125.

  First, in step S160, the intravesical urine volume estimation unit 35 determines whether or not there is a record of “sleeping” as the life information type in a predetermined area of the memory 104 in which the life information is stored. In this case, the process proceeds to step S165.

  The fact that the life information type “sleeping” is not recorded in the memory 104 means that the user is currently active. In step S165, the urinary bladder volume estimation unit 35 operates as the user's disease type coefficient c. Select “1” which is the disease type coefficient in the middle.

  On the other hand, if the determination process in step S160 is affirmative, the process proceeds to step S170.

  In step S <b> 170, the urinary bladder volume estimation unit 35 acquires characteristic information corresponding to the characteristic name “pathology” from a predetermined area of the memory 104 in which the personal characteristic information is stored.

  In step S175, the bladder urine volume estimation unit 35 determines whether or not the characteristic information acquired in step S170 is a bladder type. If the determination is affirmative, the process proceeds to step S180. If the determination is negative, The process proceeds to step S185.

  In step S180, since the user's disease type is the bladder type, the intravesical urine volume estimation unit 35 selects “0.6”, which is the disease type coefficient corresponding to the bladder type, as the user's disease type coefficient c. .

  On the other hand, in step S185, the intravesical urine volume estimation unit 35, since the user's disease type is polyuria or mixed type, the disease type coefficient corresponding to the polyuria type or mixed type as the user's disease type coefficient c. “1.0” is selected.

  Thus, the disease type coefficient setting process shown in FIG. 10 is completed.

  Subsequently, the description returns to the flowchart of FIG.

  In step S <b> 130, the intravesical urine volume estimation unit 35 acquires the average sweating amount from a predetermined area of the memory 104 in which the personal characteristic information is stored.

  In step S135, the urinary bladder volume estimation unit 35 determines whether or not there is a record of the life information type “urination” in a predetermined area of the memory 104 in which the life information is stored.

  If the determination is affirmative, the process proceeds to step S140. On the other hand, in the case of negative determination, since the user's urination volume is unknown, the user's intravesical urine volume B (t) cannot be estimated, and the process proceeds to step S155. In step S155, the intravesical urine volume estimation unit 35 sets the value of the end flag stored in the memory 104 to “1”, and ends the personal characteristics / life information acquisition process.

  In step S140, the intravesical urine volume estimation unit 35 acquires, from the predetermined area of the memory 104 in which the life information is stored, the water volume corresponding to the life information type “urination” as the urination volume.

In step S145, bladder urine volume estimating unit 35 obtains the current time _{T n} from CPU 102, calculates the elapsed time T to the current time _{T n} from time of ingestion of the water obtained in the process of step S120. Further, the intravesical urine volume estimation unit 35 uses the calculated elapsed time T and the average sweat volume acquired in the process of step S130 to calculate the cumulative sweat volume D from the water intake time to the current time T _n. calculate.

  Further, the urinary bladder volume estimation unit 35 sets the water intake acquired in the process of step S120 as the water intake W and the urine output acquired in the process of step S140 as the urine output B.

Then, the urinary bladder volume estimation unit 35 substitutes the elapsed time T, the disease type coefficient c, the cumulative sweating amount D, the water intake amount W, and the urination amount B acquired as described above into the equation (4). Then, the user's urine production speed a is calculated. Note that the current time T _n is a time corresponding to the time t ₁ in the equation (4).

  The intravesical urine volume estimation unit 35 stores the calculated urine production speed a in a predetermined area of the memory 104.

Further, in step S150, the bladder urine volume estimation unit 35, from a predetermined area of the memory 104 to the personal characteristic information is stored, and acquires the urination limitation start time T _s and voiding limit end time T _e.

  Thus, the personal characteristic / life information acquisition process shown in FIG. 9 ends.

  Next, details of the process in step S400 of FIG. 8 will be described.

  FIG. 11 is a flowchart illustrating an example of the flow of intravesical urine volume estimation processing in step S400.

In step S405, the urinary bladder volume estimation unit 35 acquires the current time T _n from the CPU 102, and sets the acquired current time T _n as the scheduled urination time u.

  In step S410, the bladder urine volume estimation unit 35 sets the scheduled urination time u set in step S405 to a simulation time v that is a time variable used when the bladder urine volume B (t) is estimated. Hereinafter, the simulation time v is simply expressed as “time v”.

  In step S415, the bladder urine volume estimation unit 35 calculates the bladder urine volume increase B ′ (v) at time v.

  Since the user's bladder urine volume B (v) at time v after the intake of water is expressed by equation (1) and the user's urine production rate is expressed by equation (2), the unit time divided into minute times The increase amount B ′ (v) in the urinary bladder can be expressed by the following equation (5).

  That is, the increase in bladder urine volume B ′ (v) per unit time divided into minute times is set by the urine production speed a calculated in step S145 in FIG. 9, and in step S125 in FIG. Calculated from the disease type coefficient c and the water intake W (v) at time v. As the water intake W (v) at time v, the water intake acquired in the process of step S120 in FIG. 9 can be used.

  In step S420, the intravesical urine volume estimation unit 35 determines whether or not the time v is before the simulation end time. The simulation end time is a time period for determining how long the user's bladder urine volume increase B (v) is estimated over a period of time. As an example, the simulation end time is 24 hours after the scheduled urination time u. Set. Needless to say, the setting of the simulation end time is not limited, and another time may be set.

  If the determination process in step S420 is affirmative, the process proceeds to step S425. In step S425, the bladder urine volume estimating unit 35 sets the time obtained by adding the unit time Δt to the current time v as a new time v, and then proceeds to step S415. Then, the processes in steps S415 and S420 are performed. repeat.

  That is, the bladder urine volume estimation unit 35 calculates the bladder urine volume increase amount B ′ (v) at each time v that increases by unit time Δt from the scheduled urination time u until the simulation end time is reached.

  In step S430, the bladder urine volume estimation unit 35 uses the bladder urine volume increase B ′ (v) from the scheduled urination time u to the simulation end time calculated in the process of step S415, and the user at time t. Intravesical urine volume B (t) is calculated. The amount of urinary bladder B (t) in the user is expressed by equation (1) as already described. Therefore, the urinary bladder volume B (t) of the user can be calculated by the formula (6) in which the formula (1) is expressed by using the bladder urine volume increase B ′ (v).

In step S435, the scheduled urination time calculation unit 36 acquires the maximum bladder capacity from a predetermined area of the memory 104 in which the personal characteristic information is stored. Then, the scheduled urination time calculation unit 36 sets, for example, 90% of the acquired maximum bladder capacity to the urinary bladder volume threshold _Bth . The ratio of the maximum bladder capacity set as the intravesical urine volume threshold B _th is not limited.

Then, the estimated urination time calculation unit 36 refers to the user's bladder urine volume B (t) calculated in step S430, and the bladder urine volume B (t) exceeds the bladder urine volume threshold _Bth. The time t _th is calculated. At time t _th , since it is estimated that the urine collected in the user's bladder exceeds 90% of the capacity of the bladder and the user is likely to be incontinent, the scheduled urination time calculation unit 36 _Th is stored in a predetermined area of the memory 104 as the incontinence scheduled time T (u).

  The estimated urination time calculation unit 36 associates the estimated urination time u of the urinary bladder volume B (t) used for calculating the estimated incontinence time T (u) with the estimated incontinence time T (u) in the memory 104. Is stored in a predetermined area.

In step S440, urination estimated time calculation unit 36, at step S150 of FIG. 9, with reference to urination limit end time _{T e} of intravesical urine volume estimation unit 35 obtains, incontinence scheduled time calculated in step S435 T (u ) is equal to or before the urination limit end time T _e.

If, incontinence scheduled time T (u) be a before urination limit end time T _e, which means that the user will reach the incontinence scheduled time T (u) while sleeping. Therefore, the estimated urination time calculation unit 36 shifts the estimated urination time u backward, and further estimates the user's bladder urine volume B (t) to calculate the estimated incontinence time T (u).

  Therefore, when the determination process in step S440 is affirmative, the process proceeds to step S445.

  In step S445, the urinary bladder volume estimation unit 35 determines whether or not the scheduled urination time u is before the simulation end time used in the determination process in step S420. If the determination is affirmative, the process proceeds to step S450. To do.

  In step S450, the intravesical urine volume estimating unit 35 sets the time obtained by adding the unit time Δt to the current scheduled urination time u as the new scheduled urination time u, and then proceeds to step S410. From step S410 to step S440, Repeat each process. By repeating each process from step S410 to step S440, a plurality of data in which the expected urination time u and the expected incontinence time T (u) as shown in FIG. 6 are associated are obtained.

  On the other hand, if a negative determination is made in the determination process of step S440 or step S445, the process proceeds to step S455.

In step S455, urination estimated time calculation unit 36, in from a plurality of incontinence scheduled time stored in the memory 104 T in (u) in the process of step S435, urination limit end time T _e and later, and urination limit end time to select the most close incontinence scheduled time T (u) to T _e. Furthermore, the scheduled urination time calculation unit 36 selects the scheduled urination time u associated with the selected scheduled incontinence time T (u).

  Thus, the intravesical urine volume estimation process shown in FIG. 11 ends.

  Next, details of the processing in step S500 of FIG. 8 will be described.

  FIG. 12 is a flowchart showing an example of the alert notification process in step S500.

In step S505, the alert determination unit 37 acquires the current time T _n from the CPU 102, for example. The alert determination unit 37, the acquired current time T _n is determined whether prior to urination limit start time intravesical urine volume estimation unit 35 is acquired in step S150 T _s in FIG. If the determination is affirmative, the process proceeds to step S510.

In step S510, the alert determination unit 37 determines whether or not the current time T _n acquired in the process of step S505 is before the scheduled urination time u selected in the process of step S455 of FIG. The determination result is negative, i.e., if the current time T _n voiding scheduled time u later, the process proceeds to step S515.

  In step S515, the alert determination unit 37 outputs an alert notification instruction to the alert notification unit 38 with as little delay as possible. The alert notification unit 38 that has received the alert notification instruction outputs the alert notification to the alert receiving unit 23 of the operation terminal 20 with as little delay as possible, and ends the alert notification process.

  The operation terminal 20 that has received the alert notification activates at least one of the vibrator 24 and the speaker 25 provided in the operation terminal 20 and outputs a warning to the user or the like. In this way, a warning prompting urination is output to the user or the like.

The alert determination unit 37 may output an alert notification instruction to the alert notification unit 38 until the current time T _n reaches the urination restriction start time T _s .

As described above, when the scheduled urination time u is before the urination restriction start time T _s and the current time T _n is after the urination scheduled time u and before the urination restriction start time T _s. A warning is notified to the user or the like at least before reaching the urination restriction start time T _s . Accordingly, if urination realize user warnings, incontinence scheduled time in this case T (u) is urination limit end time T _e subsequent user, that since it is after getting up, it is possible to suppress the user of incontinence .

  On the other hand, when it becomes affirmation determination by the determination process of step S510, it transfers to step S520.

In step S520, the alert determination unit 37, urination scheduled time u is determined whether prior to urination limitation start time T _s, in the case of affirmative determination, the process proceeds to step S525.

In step S525, the alert determination unit 37 sequentially acquires the current time _{T n} from the CPU 102, the current time _{T n} at the timing became urination scheduled time u, and outputs the alert notification instruction to the alert notification unit 38. The alert notification unit 38 that has received the alert notification instruction outputs the alert notification to the alert receiving unit 23 of the operation terminal 20 with as little delay as possible, and ends the alert notification process.

Thus, when the scheduled urination time u is before the urination restriction start time T _s and the current time T _n is before the scheduled urination time u, a warning to the user or the like is issued. Will be notified. Accordingly, if urination realize user warnings, incontinence scheduled time in this case T (u) is urination limit end time T _e subsequent user, that since it is after getting up, it is possible to suppress the user of incontinence .

On the other hand, if the determination in step S520 is negative, that is, if the scheduled urination time u is after the urination restriction start time T _s , the process proceeds to step S530.

Since the scheduled urination time u is after the urination restriction start time T _s , the management server 30 outputs a warning to the user or the like before the user goes to bed and further suppresses incontinence of the user. It is necessary to output a warning to the user while the user is sleeping.

Therefore, in step S530, the alert determination unit 37 sequentially acquires the current time _{T n} from CPU 102, and before the current time _{T n} is urination limitation start time _{T s,} the alert notification instruction to the alert notification unit 38 outputs To do. The alert notification unit 38 that has received the alert notification instruction outputs the alert notification to the alert receiving unit 23 of the operation terminal 20 with as little delay as possible. By the processing in step S530, the user can be prompted to urinate before going to bed.

Incidentally, the alert determination unit 37, in order to suppress as much as possible frequency of urination during sleep, just before the possible urination restriction start time T _s, who outputs the alert notification instruction to the alert notification unit 38 is preferred. Note that the immediately preceding urination restriction start time T _s, urination from the restriction start time T _s, it refers to a time earlier by a predetermined time which can be regarded as the previous urination restriction start time T _s, the predetermined time Is stored in the constant storage area 144 of FIG.

  Next, in step S535, the intravesical urine volume estimation unit 35 performs a sequential intravesical urine volume estimation process that sequentially estimates the intravesical urine volume while the user is sleeping.

  FIG. 13 is a flowchart showing an example of the sequential bladder urine volume estimation process in step S535.

First, in step S560, bladder urine volume estimating unit 35 obtains the current time _{T n} from CPU 102, the elapsed time T from time of ingestion of water obtained in the process of step S120 in FIG. 9 to the current time _{T n} calculate.

Then, the intravesical urine volume estimation unit 35 uses the calculated elapsed time T and the average sweat volume acquired in the process of step S130 in FIG. 9 to accumulate cumulative sweat from the water intake time to the current time T _n. The quantity D is calculated.

  In step S565, the bladder urine volume estimation unit 35 associates the water intake time with the time v = 0 in order to use the water intake time as the reference time for the bladder urine volume at the simulation time v.

  In step S570, the bladder urine volume estimation unit 35 executes the process described in step S415 of FIG. 11 to calculate the bladder urine volume increase amount B ′ (v) per unit time at time v.

In step S575, the intravesical urine volume estimation unit 35 determines whether the time v is before the time V _n on the simulation time corresponding to the current time T _n acquired in the process of step S560. In the case of an affirmative determination, the increase in bladder urine volume B ′ (v) per unit time used for estimating the bladder urine volume B (T _n ) at the current time T _n is from time v = 0 to time V _{Since n} is not calculated, the process proceeds to step S580.

In step S580, the urinary bladder volume estimation unit 35 sets the time obtained by adding the unit time Δt to the current time v as a new time v, and then proceeds to step S570. Then, the urinary bladder volume estimation unit 35 repeats the processes of steps S570, S575, and S580, thereby increasing the bladder urine volume increase amount B ′ (v) per unit time from time v = 0 to time V _n. calculate.

  On the other hand, if a negative determination is made in the determination process in step S575, the process proceeds to step S585.

In step S585, the bladder urine volume estimation unit 35 uses the bladder urine volume increase amount B ′ (v) per unit time at each time v calculated in the process of step S570, at the current time T _n . The user's intravesical urine volume B (T _n ) is calculated.

As already explained, the urine volume B (t) in the user's bladder is expressed by equation (1). Therefore, the user's bladder urine volume B (T _n ) at the current time T _n can be calculated by the formula (7) in which the formula (1) is expressed using the bladder urine volume increase B ′ (v). it can.

  Thus, the sequential bladder urine volume estimation process shown in FIG. 13 is completed.

  Subsequently, the description returns to the flowchart of FIG.

In step S540, the urinary bladder volume estimation unit 35 estimates the bladder urine volume B (T _n ) of the user at the current time T _n estimated in the process of step S535 as the bladder set in the process of step S435 in FIG. It is determined whether or not the internal urine volume threshold _{Bth is} greater. If the determination is no, at the current time T _n, for still user can be considered to be less likely to incontinence, the process proceeds to step S535. That is, the intravesical urine volume estimation unit 35 repeatedly executes the intravesical urine volume estimation process until the user's intravesical urine volume B (T _n ) exceeds the intravesical urine volume threshold _Bth .

  On the other hand, if the determination process in step S540 is affirmative, the process proceeds to step S545.

  In step S545, the alert determination unit 37 outputs an alert notification instruction to the alert notification unit 38 with as little delay as possible. The alert notification unit 38 that has received the alert notification instruction outputs the alert notification to the alert receiving unit 23 of the operation terminal 20 with as little delay as possible, and ends the alert notification process.

In this way, a urination scheduled time u is urination limit start time T _s and later, and, if the current time T _n is before the urination limit start time T _s is, before the urination limit start time T _s By the time, a warning is notified to the user or the like. Further, when the user's bladder urine volume B (T _n ) exceeds the bladder urine volume threshold B _th , a warning is notified to the user or the like. Therefore, it if urinate user during bedtime and bedtime notice warning, incontinence expected time T corresponding to urinate during sleep (u) is urination limit end time T _e subsequent user, i.e., after getting up Therefore, incontinence of the user can be suppressed.

On the other hand, when the judgment processing is negative determination in step S505, i.e., if the current time _{T n} voiding limitation start time _{T s} and later, the process proceeds to step S535. Then, by executing the processes in steps S535 to S545 described above, a warning is issued when the user's bladder urine volume B (T _n ) exceeds the bladder urine volume threshold B _th during the user's sleep. The user is notified. Accordingly, if urination while sleeping realize user warnings, since incontinence scheduled time T corresponding to urinate during sleep (u) is urination limit end time T _e subsequent user, i.e., after getting up, the user Can suppress incontinence.

  Thus, the alert notification process shown in FIG. 12 ends.

Thus, according to the management server 30 according to the first embodiment, the management server 30 estimates the urinary bladder volume B (t) of the user based on the life information and the personal characteristic information. Then, the management server 30 estimates when to urinate so that the expected incontinence time T (u) comes after the user gets up. Then, the management server 30 uses the estimated urination time, that is, the expected urination time u, the urination restriction start time T _s that is the expected bedtime, and the current time T _n to determine the expected incontinence time T (u). Before that, an alert notification is transmitted to the operation terminal 20 to cause the user or the like to output a warning. Therefore, incontinence of the user can be suppressed and the number of incontinences can be reduced. Furthermore, by reducing the number of incontinences of the user, it may be possible to reduce the number of washings of clothes or the like with urine attached thereto, so that the time spent by the guardian for housework can also be reduced.

  In FIG. 1, as an example, the communication line 50 connecting the wearable sensor 10 and the operation terminal 20 and the communication line 51 connecting the operation terminal 20 and the management server 30 are different communication lines. However, the communication line may be shared with the communication line 51 and the wearable sensor 10 may be directly connected to the communication line 51.

  In FIG. 1, as an example, the operation terminal 20 has been described as including the vibrator 24, the speaker 25, the display 27, and the input unit 28, but these may not necessarily be included in the operation terminal 20. For example, an external vibrator 24, a speaker 25, a display 27, and an input unit 28 connected to the operation terminal 20 may be used.

  In addition to the operation terminal 20, the wearable sensor 10 includes at least one of the vibrator 24 and the speaker 25, and alerts the wearable sensor 10 directly from the management server 30 or via the operation terminal 20 from the management server 30. May be sent. Since the wearable sensor 10 is carried by the user, the degree of warning recognition by the user may be improved rather than outputting a warning from the operation terminal 20.

(Second Embodiment)
In the management server 30 according to the first embodiment, the user's bladder urine volume B (t) is estimated from the record of the amount of water actually consumed by the user, and the user or the like before the scheduled incontinence time T (u) is reached. The user's incontinence was suppressed by outputting a warning.

In the second embodiment, the management server 30 estimates the expected incontinence time T (u) when it is assumed that the user takes water, for example, before going to bed. Then, the estimated incontinence scheduled time T (u) is earlier than urination limit end time T _e, i.e., when made before wake-up, since there is a risk of incontinence, the management server 30, the user not to ingest water A warning is output to etc.

  A system similar to the incontinence suppression system 1 according to the first embodiment shown in FIG. 1 can be applied to the incontinence suppression system according to the second embodiment. Therefore, the management server according to the second embodiment has the same configuration as the configuration example in the case where the management server 30 according to the first embodiment shown in FIG. 7 is realized by a computer.

  First, from the operation terminal 20 according to the second embodiment, for example, the user or the like inputs the name of the food or drink that the user is going to ingest, together with the scheduled eating time on the input screen shown in FIG. At this time, even if the food and drink is not a drink but a food, it is registered as “water intake” in the life information type, and the amount of food to be taken is recorded. For example, the number of breads is recorded as the amount of food to be consumed, the number of cups of soup, the number of cups of tomato, and the number of tomatoes.

  When the food or drink is a drink, the user or the like inputs the amount of water to be consumed from the input screen.

  The input unit 28 determines that the user ingests food if the intake water amount is not recorded even though the life information type input from the input screen is “water intake”, and the input unit Reference is made to the food moisture amount table provided in advance in No. 28.

  FIG. 14 is a diagram illustrating an example of a food moisture amount table. As shown in FIG. 14, the food moisture amount table 60 is a table in which various food names are associated with the moisture amounts contained in the food in the row direction. In the example of the food moisture amount table 60 shown in FIG. 14, it is shown that one piece of bread contains about 26 [ml] of water, and one potage soup contains about 98 [ml] of water. Has been.

  Accordingly, the input unit 28 refers to the food moisture amount table 60 and calculates the amount of moisture contained in the food from the name of food input on the input screen and the amount to be taken. Then, the input unit 28 transmits the life information whose life information type is “moisture intake” to the life information record transmission unit 26, assuming that the user has consumed the calculated amount of water.

  That is, although it is a food and drink that the user has not yet ingested, the same life information record as when the user actually ingested water is recorded in the life information record DB 40 of the management server 30.

After that, using the method for estimating the amount of urinary bladder B (t) of the user from the time of water intake in the management server 30 described in the first embodiment, the expected incontinence time T ( u) determines whether made before urination limit end time T _e. Then, if the prior incontinence scheduled time T (u) is urination limit end time T _e, because the user is inferred that there is a possibility of incontinence while sleeping, a warning before the user ingests food Output and urge the user to refrain from eating and drinking to suppress incontinence.

  The flow of the determination process of the management server 30 according to the second embodiment is the same as the flowchart of FIG. 8 showing an example of the flow of the determination process of the management server 30 according to the first embodiment.

  However, since each process of step 200, step S400, and step S500 in FIG. 8 is different from the management server 30 according to the first embodiment, it will be described below.

  FIG. 15 is a flowchart illustrating an example of the flow of personal characteristics / life information acquisition processing in step S200 in the determination processing of the management server 30 according to the second embodiment.

  The personal characteristics / life information acquisition process shown in FIG. 15 is different from the personal characteristics / life information acquisition process according to the first embodiment shown in FIG. 9 in that step S152 is added. In the process of step S120 in FIG. 15, the intravesical urine volume estimation unit 35 from the predetermined area of the memory 104 in which the life information is stored, the food / drink that the user is going to ingest (the ingested food / drink) Shall be obtained as the amount of water intake.

In step S152, bladder urine volume estimation unit 35, the process fluid intake time corresponding to the obtained water intake at the step S120 (hereinafter, referred to as water intake expected time T ₀₎ the memory 104, the life information is stored From a predetermined area. This is because in the bladder urine volume estimation process in step S400 described below, the user's bladder urine volume B (t) from the time when the user ingested scheduled food / drink is estimated.

  FIG. 16 is a flowchart illustrating an example of a flow of intravesical urine volume estimation processing in step S400 in the determination processing of the management server 30 according to the second embodiment.

  16 differs from the bladder urine volume estimation process according to the first embodiment shown in FIG. 11 in that each process from step S405 in FIG. 11 and steps S440 to S455 is performed. Is the point that was deleted. Also, step S410 in FIG. 11 is replaced with step S412, and step S435 in FIG. 11 is replaced with step S436.

In step S412, bladder urine volume estimation unit 35, the fluid intake expected time _{T 0} which is obtained in step S152 in FIG. 15, set a time v. By setting the time v, the estimated start time of the urinary bladder volume B (t) of the user is set to the time when the user takes the food / drinks to be taken.

The processing of step S430 from step S415, intravesical urine volume of users at each time t from the fluid intake expected time T ₀ until the simulation end time B (t) is calculated.

Therefore, in step S436, the scheduled urination time calculation unit 36 refers to the user's bladder urine volume B (t) calculated in the process of step S430, and the bladder urine volume B (t) is the bladder urine volume threshold B. A time t _th when _th is exceeded is calculated. The estimated urination time calculation unit 36 stores the calculated time t _th in a predetermined area of the memory 104 as the estimated incontinence time T (T ₀ ).

By the process in step S436, the estimated incontinence time T (T ₀ ) when the user ingests food and drink is estimated.

  FIG. 17 is a flowchart illustrating an example of a flow of alert notification processing in step S500 in the determination processing of the management server 30 according to the second embodiment.

In step S590, the alert determination unit 37, incontinence expected time T calculated in the process of step S436 of FIG. 16 _{(T 0),} prior to urination limit end time _{T e} of the user acquired by the process at step S150 of FIG. 15 It is determined whether or not. If the determination is affirmative, the process proceeds to step S595.

Here, the fact that the determination process of step S590 is affirmative, when the user ingested food is meant to greet incontinence expected time before urination limit end time T _e T (T ₀₎ To do.

  Accordingly, in step S595, the alert determination unit 37 outputs an alert notification instruction to the alert notification unit 38 with as little delay as possible. The alert notification unit 38 that has received the alert notification instruction outputs the alert notification to the alert receiving unit 23 of the operation terminal 20 with as little delay as possible, and ends the alert notification process.

On the other hand, in the case determination processing in step S590 is negative, even if taking the user food, incontinence scheduled time T (T ₀₎ is the urination limit end time T _e and later, a warning to the user or the like The alert notification process is terminated without outputting.

According to the management server 30 in this way according to the second embodiment, lifestyle information and based on the personal characteristic information, if the time T ₀ to estimate the bladder urine volume B of the user when ingested (t) of the food To do. Then, the management server 30 estimates the incontinence scheduled time T (T ₀ ) from the estimated intravesical urine volume B (t), and when the planned incontinence time T (T ₀ ) is reached while sleeping, the operation terminal 20 The user is alerted to prompt the user to stop eating food and drink. Therefore, user incontinence can be suppressed.

(Third embodiment)
In the third embodiment, urination is performed at any timing even in a situation where the time during which urination can be performed is limited using the estimation process of the bladder urine volume B (t) of the user according to the first embodiment. If this is done, the user is notified whether incontinence can be suppressed.

  FIG. 18 is a diagram illustrating a situation of a user in the third embodiment. As shown in FIG. 18, it is assumed that the user stops at a service area SA1, for example, a rest area equipped with toilet facilities while moving on a highway with a vehicle 62. The rest area is not limited to the service area, and may be a parking area. At this time, if the user does not urinate in the service area SA1, it may be difficult to determine whether or not the user can endure urine up to the next service area SA2.

  Therefore, the incontinence suppression system according to the third embodiment treats the period from when the vehicle 62 leaves the service area SA1 until it arrives at the service area SA2 as a urination restriction period, and the user's when the user arrives at the service area SA2 Intravesical urine volume B (t) is estimated. Then, the incontinence suppression system estimates the incontinence scheduled time T (u) from the user's bladder urine volume B (t), and if the incontinence scheduled time T (u) is before the arrival time of the service area SA2, A warning prompting the user to urinate in the area SA1 is output.

  In addition, the system similar to the incontinence suppression system 1 which concerns on 1st Embodiment shown in FIG. 1 is applicable to the incontinence suppression system which concerns on 3rd Embodiment. Therefore, the management server according to the third embodiment has the same configuration as the configuration example in the case where the management server 30 according to the first embodiment shown in FIG. 7 is realized by a computer.

  In addition, the time for the user to leave the service area SA1 is stored in the urination restriction start time in the personal characteristics DB 39, and the time for the user to arrive in the service area SA2 is stored in the urination restriction end time in the personal characteristics DB 39. It shall be.

  Note that the arrival time of the service area SA2 can be acquired using, for example, car navigation provided in the vehicle 62 or car navigation software installed in the operation terminal 20.

  The flow of the determination process of the management server 30 according to the third embodiment is the same as the flowchart of FIG. 8 illustrating an example of the flow of the determination process of the management server 30 according to the first embodiment.

  However, since the inside of each process of step S400 of FIG. 8 and step S500 differs from the management server 30 which concerns on 1st Embodiment, it demonstrates below.

  FIG. 19 is a flowchart illustrating an example of the urinary bladder volume estimation process in step S400 in the determination process of the management server 30 according to the third embodiment.

  19 is different from the bladder urine volume estimation process according to the first embodiment shown in FIG. 11 in that each process from step S440 to step S455 in FIG. 11 is deleted. Is a point. Further, step S435 in FIG. 11 is replaced with step S437.

By the processing from step S405 to step S430, the bladder urine volume estimation unit 35 calculates the user's bladder urine volume B (t) at each time t from the current time _Tn to the simulation end time.

In step S437, the bladder urine volume estimation unit 35 refers to the user's bladder urine volume B (t) calculated in the process of step S430, and the bladder urine volume B (t) is determined to be the bladder urine volume threshold B _th. The time t _th when exceeding is calculated. The scheduled urination time calculation unit 36 stores the calculated time t _th in a predetermined area of the memory 104 as the scheduled incontinence time T (u).

  Then, the management server 30 executes the alert notification process according to the second embodiment shown in FIG. 17 instead of the alert notification process in step S500 shown in FIG.

However, in step S590 in FIG. 17, the incontinence scheduled time T (u) calculated in the process in step S437 in FIG. 19 is used in place of the scheduled incontinence time T (T ₀ ) calculated in the process in step S436 in FIG. .

Then, the alert determination unit 37 determines that the incontinence scheduled time T (u) is based on the user's urination restriction end time T _e acquired in the process of step S150 according to the first embodiment of FIG. 9, that is, the arrival time of the service area SA2. Determine whether it is before.

  If the process of step S590 is affirmative, that is, if the incontinence scheduled time T (u) is reached before arriving at the service area SA2, a warning is output to the user or the like to urinate in the service area SA1. To do.

  On the other hand, if the process in step S590 is negative, the user can suppress incontinence if he / she does not urinate in the service area SA1 and urinate in the service area SA2, so that a warning is not output to the user or the like. The alert notification process is terminated.

  As described above, according to the management server 30 according to the third embodiment, the movement period from the departure from the service area SA1 to the arrival at the service area SA2 is the urination restriction period, and based on the life information and the personal characteristic information, The user's intravesical urine volume B (t) is estimated. Then, the management server 30 estimates the incontinence time T (u) from the urinary bladder volume B (t), and if the incontinence time T (u) is reached before arriving at the service area SA2, the operation terminal 30 A warning is output to the user or the like from 20, and the user is prompted to urinate in the service area SA1. Therefore, user incontinence can be suppressed.

(Fourth embodiment)
The fourth embodiment is a modification of the third embodiment, and in the same manner as the third embodiment, for example, when the user can move urine, such as when the user is moving on a highway, the time for urination is limited. Even if it exists, the user or the like is notified of at what timing urination can be suppressed.

  FIG. 20 is a diagram illustrating a user situation in the fourth embodiment. As shown in FIG. 20, it is assumed that the user gets on a vehicle 62 and moves on a highway. At this time, the user determines whether or not he / she can pass the next service area SA1 located closest to the traveling direction of the vehicle 62 and endure the urine to the service area SA2 beyond the service area SA1. You may be in trouble.

Therefore, incontinence suppression system according to the fourth embodiment, the handling period from the current time T _n until arriving at the service area SA2 as urination restriction period, intravesical urine volume B of the user at the time of arrival in the service area SA2 ( t) is estimated. Then, the incontinence suppression system estimates the incontinence scheduled time T (u) from the user's bladder urine volume B (t), and if the incontinence scheduled time T (u) is before the arrival time of the service area SA2, A warning prompting the user to urinate in the area SA1 is output.

  In addition, the system similar to the incontinence suppression system 1 which concerns on 1st Embodiment shown in FIG. 1 is applicable to the incontinence suppression system which concerns on 4th Embodiment. Therefore, the management server according to the fourth embodiment has the same configuration as the configuration example in the case where the management server 30 according to the first embodiment shown in FIG. 7 is realized by a computer.

Furthermore, the urination limitation start time of personal characteristics DB39 is the current time T _n is stored, the urination limit end time of personal characteristics DB39 shall time the user arrives at the service area SA2 is stored.

  Note that the arrival time of the service area SA2 can be acquired using, for example, car navigation provided in the vehicle 62 or car navigation software installed in the operation terminal 20.

The flow of the determination process of the management server 30 according to the fourth embodiment is the same as the flow of the determination process of the management server 30 according to the third embodiment, and the user's bladder urine volume B (in the arrival time of the service area SA2) t) is estimated. Then, the determination process of the management server 30 according to the fourth embodiment is performed by comparing the estimated intravesical urine volume B (t) with the intravesical urinary volume threshold _Bth , thereby determining the expected incontinence time T (u). Is estimated.

  When the scheduled incontinence time T (u) is reached before arriving at the service area SA2, the management server 30 outputs a warning to the user or the like and alerts the user to urinate in the service area SA1.

  On the other hand, in the case where the scheduled incontinence time T (u) is reached after arriving at the service area SA2, it is considered that the incontinence can be suppressed if the user urinates in the service area SA2 without urinating in the service area SA1. The management server 30 does not output a warning to the user or the like.

According to the management server 30 in this way according to the fourth embodiment, the movement period from the current time T _n until arriving at the service area SA2 and urination restriction period, based on the living information and personal characteristic information, the user of the bladder The amount of internal urine B (t) is estimated. Then, the management server 30 estimates the incontinence scheduled time T (u) from the urinary bladder volume B (t), and when the scheduled incontinence time T (u) is reached before reaching the service area SA2, the management server 30 A warning is output to the user or the like, and the user is prompted to urinate in the next service area SA1. Therefore, user incontinence can be suppressed.

  Needless to say, the service area SA2 is not limited to the service area closest to the second in the traveling direction of the vehicle 62, but may be any service area close to the nth (n is an integer of 2 or more).

(Fifth embodiment)
The fifth embodiment is a modification of the third embodiment as in the fourth embodiment.

  For example, it is assumed that a care supporter (helper) visits the home of a care recipient at predetermined times of the day and performs home care that takes care of the care recipient, that is, the user's personal life. The incontinence suppression system according to the fifth embodiment is a helper that determines when the user can urinate to suppress incontinence when the time during which the user can urinate is limited to when there is a helper. Notify

  In addition, the system similar to the incontinence suppression system 1 which concerns on 1st Embodiment shown in FIG. 1 is applicable to the incontinence suppression system which concerns on 5th Embodiment. Therefore, the management server according to the fifth embodiment has the same configuration as the configuration example in the case where the management server 30 according to the first embodiment shown in FIG. 7 is realized by a computer.

  However, the time when the helper leaves the user's home (exit time) is stored in the urination restriction start time of the personal characteristics DB 39, and the helper next visits the user's home at the urination restriction end time of the personal characteristics DB 39. It is assumed that the time (the next visit time) is stored.

The flow of the determination process of the management server 30 according to the fifth embodiment is the same as the flow of the determination process of the management server 30 according to the third embodiment, and the urinary bladder volume B (t) of the user at the next visit time is calculated. The estimated incontinence time T (u) is estimated by comparing with the urine volume threshold B _th in the bladder.

  When the scheduled incontinence time T (u) is reached before the next visit time, the management server 30 outputs a warning to the helper to alert the user to urinate before leaving the user's home To do.

  On the other hand, when the incontinence scheduled time T (u) comes after the next visit time, even if the helper does not urinate the user during this visit, the incontinence of the user can be suppressed if the urination is performed during the next visit. Therefore, the management server 30 does not output a warning to the helper.

  As described above, according to the management server 30 according to the fifth embodiment, the period from when the helper leaves the user's home until the user visits the user's home again is set as the urination restriction period, and based on the life information and the personal characteristic information. Thus, the user's intravesical urine volume B (t) is estimated. Then, the management server 30 estimates the incontinence scheduled time T (u) from the urinary bladder volume B (t), and if the scheduled incontinence time T (u) is before the next visit time, the operation terminal 20 changes to the helper. A warning is output to prompt the user to leave the user's home after assisting the user to urinate. Therefore, user incontinence can be suppressed.

(Sixth embodiment)
In the first embodiment described above, when the user is sleeping, the urinary bladder volume B (t) of the user is estimated, and a warning is output to the user before the scheduled incontinence time T (u). The user's incontinence was suppressed by waking up the user.

  In the sixth embodiment, when a warning is output to the user or the like before the scheduled incontinence time T (u) while the user is sleeping, a time zone in which the user is likely to wake up is estimated, and the user or the like is estimated during the time zone. An incontinence suppression system that outputs a warning will be described.

  First, the depth of sleep of the user, that is, the sleep depth will be described with reference to FIG.

21, from urination limitation start time T _s until urination limit end time T _e, is a diagram showing an example of a change in the user's sleep depth during sleep. Further, FIG. 21 shows an example of a change in the user's body temperature and a change in the urinary bladder volume B (t) in addition to the change in the user's sleep depth.

  As shown in FIG. 21, the sleep depth of a human is periodically increased and decreased. A state in which the sleep depth is relatively shallow is called “REM sleep”, and the amount of activity of the body is decreasing, while the brain is active. Since the brain is already active during REM sleep, the user may feel urine and may want to go to the toilet. At this time, since the sleep depth is shallow, it is easy for the user to get up, and since the brain is already active, the user is awakened when getting up.

  On the other hand, a state where the sleep depth is relatively deep is called “non-REM sleep”, and the amount of activity in both the body and the brain is lower than that in REM sleep. NREM sleep has lower brain activity compared to REM sleep, so even if you try to get up during NREM sleep, it is difficult for the user to get up. May occur, and a situation may occur where waking is not good.

In the example of FIG. 21, for example, between _t A ~t _{B hatched,} between t C ~t _D, between t E ~t _F, between t G ~t _H, and _t between I through T _e is REM sleep represents a _state, representing between T s ~t _a, between t B ~t _C, between _{t D ~t E, t F ~t} G, and between _t H ~t _I is the state of the non-REM sleep.

In addition, as shown in FIG. 21, the user's body temperature decreases from the body temperature before going to bed with the start of going to bed, and the body temperature tends to increase as the urination restriction end time T _e , that is, the wake-up time approaches. Further, since the urine production speed a is expressed by the equation (4), if the user does not urinate during sleep, the urinary bladder volume B (t) of the user during sleep increases exponentially. To do.

Although there are individual differences for each user, it is known that the period of sleep depth is generally about 90 minutes, of which about 10 to 20 minutes are REM sleep, and the remaining about 70 to 80 minutes are It is non-REM sleep. In the example of FIG. 21, for example, a period J ₁ from the start time t _A of the REM sleep to the start time t _C of the next REM sleep is about 90 minutes, and the interval between t _A and t _B indicating the period of the REM sleep is about The interval between t _B and t _C indicating the period of non-REM sleep is about 70 to 80 minutes for 10 to 20 minutes.

  Therefore, when a warning is output to the user or the like before the scheduled incontinence time T (u) during the user's sleep, if the user outputs a warning during the REM sleep period, other than REM sleep Compared with the case where a warning is output in the time zone, the user can be easily woken up.

  As will be described later in the seventh embodiment, the sleep depth can be measured from various biological information such as an electroencephalogram, an eye movement, and a heartbeat.

  FIG. 22 is a diagram illustrating an example of a configuration of an incontinence suppression system 1A according to the sixth embodiment. The incontinence suppression system 1A shown in FIG. 22 is different from the configuration of the incontinence suppression system 1 shown in FIG. 1 in that a sleep state estimation unit 41 and an alert notification time zone selection unit 42 are added to the estimation unit 32. This is a point replaced with the estimation unit 32A. Further, along with the replacement of the alert determination unit 37 with the alert determination unit 37A, the notification unit 33 is replaced with the notification unit 33A. Furthermore, the management server 30 is also replaced with the management server 30A as the estimation unit 32 is replaced with the estimation unit 32A and the notification unit 33 is replaced with the notification unit 33A.

  Further, along with the addition of the body temperature sensor 52 to the wearable sensor 10, the transmission unit 11 is replaced with the transmission unit 11A, and the wearable sensor 10 is replaced with the wearable sensor 10A. As will be described later, in the sixth embodiment, it is not essential to add the body temperature sensor 52 to the wearable sensor 10A, and the wearable sensor 10 according to the first embodiment may be used as it is.

  In FIG. 22, the personal characteristic DB 39 and the life information recording DB 40 are connected to the estimation unit 32A. The estimation unit 32A includes an intravesical urine volume estimation unit 35, a scheduled urination time calculation unit 36, a sleep state estimation unit 41, and an alert notification time zone selection unit 42. Indicates that it is connected.

  The sleep state estimation unit 41 is connected to the sensor information reception unit 31, the alert notification time zone selection unit 42, and the storage unit that stores the personal characteristics DB 39 and the life information recording DB 40. And the sleep state estimation part 41 detects a user's sleep from the change of the user's body temperature received from the sensor information receiving part 31, for example, and the time zone (REM sleep time zone) when a user becomes REM sleep during a user's sleep. Is estimated. The sleep state estimation unit 41 outputs the estimated REM sleep time zone to the alert notification time zone selection unit 42.

  The alert notification time zone selection unit 42 is connected to the sleep state estimation unit 41, the alert determination unit 37A included in the notification unit 33A, and the storage unit that stores the personal characteristic DB 39 and the life information recording DB 40. Then, the alert notification time zone selection unit 42 selects and selects the REM sleep time zone in which the warning is actually notified from the REM sleep time zone received from the sleep state estimation unit 41, that is, the alert notification time zone. The alert notification time zone is output to the alert determination unit 37A.

  If the alert determination unit 37A determines that it is necessary to output a warning to the user or the like by the time the user is sleeping and before the incontinence scheduled time T (u), the alert determination unit 37A A notification instruction is output to the alert notification unit 38.

  In addition to the incontinence occurrence information transmitted from the urine sensor 12 and the average sweating amount transmitted from the sweat sensor 13, the transmission unit 11A of the wearable sensor 10A further transmits body temperature data transmitted from the body temperature sensor 52 to the operation terminal 20. Send to. The measurement element 16 is connected to the body temperature sensor 52, and the body temperature sensor 52 measures the user's body temperature using the measurement element 16.

  Next, FIG. 23 shows an example of a configuration diagram when the management server 30A is realized by a computer.

  The configuration of the computer 100A illustrated in FIG. 23 is different from the configuration of the computer 100 according to the first embodiment illustrated in FIG. 7 in that the sleep state estimation process 134 and the alert notification time zone selection process 136 are newly added to the storage unit 106. It is a memorized point. Also, the alert determination process 128 according to the first embodiment is replaced with an alert determination process 128A. Further, with the above change, the determination program 120 according to the first embodiment is replaced with the determination program 120A.

  The CPU 102 reads the determination program 120A from the storage unit 106, expands it in the memory 104, and executes each process included in the determination program 120A.

  The CPU 102 reads out the determination program 120A from the storage unit 106, expands it in the memory 104, and executes the determination program 120A, whereby the computer 100A operates as the management server 30A shown in FIG.

  Further, when the CPU 102 executes the alert determination process 128A, the computer 100A operates as the alert determination unit 37A illustrated in FIG. Further, the CPU 102 executes the sleep state estimation process 134, whereby the computer 100A operates as the sleep state estimation unit 41 illustrated in FIG. Further, when the CPU 102 executes the alert notification time zone selection process 136, the computer 100A operates as the alert notification time zone selection unit 42 shown in FIG.

  The CPU 102 executes the bladder urine volume estimation process 124, the estimated urination time calculation process 126, the sleep state estimation process 134, and the alert notification time zone selection process 136, so that the computer 100A serves as the estimation unit 32A illustrated in FIG. Operate. Further, when the CPU 102 executes the alert determination process 128A and the alert notification process 130, the computer 100A operates as the notification unit 33A illustrated in FIG.

  The computer 100A can be realized by, for example, a semiconductor integrated circuit, more specifically, an ASIC or the like.

  Next, the operation of the management server 30A according to the sixth embodiment will be described. The judgment process executed by the management server 30A is different from the judgment process of the management server 30 according to the first embodiment shown in FIG. 8 in that the alert notification process in step S500 is different. Processing similar to that of the management server 30 according to the embodiment is executed.

Note that the scheduled urination time calculation unit 36 also calculates in advance the incontinence scheduled time T (T ₀ ) with respect to the scheduled water intake time T ₀ according to the method described in the second embodiment, and stores it in a predetermined area of the memory 104. It shall be.

  FIG. 24 is a flowchart illustrating an example of a flow of alert notification processing executed by the management server 30A according to the sixth embodiment.

  Here, the alert notification process shown in FIG. 24 is different from the alert notification process according to the first embodiment shown in FIG. 12 in that the processes in steps S536 to S538 are added. 12 is the same as the alert notification processing according to the first embodiment shown in FIG.

  If the determination process in step S505 is negative or the determination process in step S520 is negative, that is, if the user is already sleeping, the process in step S536 is performed after the sequential bladder urine volume estimation process in step S535. Is executed.

In step S536, bladder urine volume estimation unit 35, the user of the incontinence scheduled time T (T ₀₎ determines whether before urination limit end time T _e of the user. If a negative determination is made, the process proceeds to step S536. On the other hand, if the determination is affirmative, the process moves to step S537, and the alert notification time zone calculation process is executed.

  FIG. 25 is a flowchart illustrating an example of the alert notification time zone calculation process in step S537.

First, in step S600, the sleep state estimation unit 41 estimates a REM sleep time zone of a sleeping user. As already explained, REM sleep appears for about 10 to 20 minutes with a period of about 90 minutes after going to bed. Thus, each sleep state estimating unit 41, for example, after the user bedtime until urination limit end time T _e, the time zone for each 15 minutes which appears every 90 minutes as a band REM sleep time, the start time and end time calculate.

  The sleep state estimation unit 41 stores the estimated start time and end time of each estimated REM sleep time zone in a predetermined area of the memory 104.

  It should be noted that the REM sleep period of 90 minutes and the length of the REM sleep time period of 15 minutes are merely examples, and may be set to other values. The predetermined REM sleep cycle and the length of the REM sleep time zone are stored in, for example, the constant storage area 144 of FIG. Therefore, the sleep state estimation unit 41 can acquire the REM sleep period and the length of the REM sleep time zone from the memory 104, and can estimate the REM sleep time zone from the sleep time according to the acquired value. Here, the sleep time is the time when the user actually enters the sleep state.

As already described, the user's body temperature after going to bed is lower than the body temperature before going to bed. Therefore, for example, after the urination restriction start time T _s , the sleep state estimation unit 41 can regard the time when the user's body temperature first falls below the threshold, or the time when the amount of decrease in body temperature exceeds the threshold as the user's sleep time. It ’s fine.

  In step S605, the alert notification time zone selection unit 42 acquires the start time and end time of each REM sleep time zone estimated by the sleep state estimation unit 41 in the process of step S600 from the memory 104.

For example the period from sleep onset time urination to limit end time T _e is waking scheduled time, if it exceeds 2 times the period of REM sleep (180 minutes in the above example), an alert notification time period selection unit 42, a plurality of The REM sleep time zone will be acquired. Therefore, the alert notification time zone selection unit 42 determines whether there are a plurality of acquired REM sleep time zones. If the determination is affirmative, the process proceeds to step S610. If the determination is negative, the process proceeds to step S615.

In step S610, the alert notification time zone selection unit 42 selects, for example, a REM sleep time zone whose start time is closest to the incontinence scheduled time T (T ₀ ) among the plurality of REM sleep time zones. Then, the alert notification time zone selection unit 42 stores the selected REM sleep time zone in the predetermined area of the memory 104 as the alert notification time zone. The alert notification time zone refers to a time zone for notifying a sleeping user of a warning, and as described above, the alert notification time zone is set to the REM sleep time zone.

In the example of step S610, among the plurality of REM sleep time zones, for example, the REM sleep time zone whose start time is closest to the incontinence scheduled time T (T ₀ ) is set as the alert notification time zone. The setting method is not limited to this. For example, the alert notification time zone selection unit 42 refers to the incontinence occurrence time recorded in the life information recording DB 40, calculates a time zone in which the user is likely to be incontinent, and alerts the REM sleep time zone included in the time zone. You may set to a notification time zone. Thus, by setting the alert notification time zone according to the user's past incontinence occurrence time, the user's incontinence can be further suppressed.

  On the other hand, in step S615, the alert notification time zone selection unit 42 determines whether there is one REM sleep time zone estimated by the sleep state estimation unit 41 in the process of step S600. If the determination is affirmative, the process proceeds to step S620. If the determination is negative, the process proceeds to step S625.

  In step S620, the alert notification time zone selection unit 42 stores one REM sleep time zone in a predetermined area of the memory 104 as the alert notification time zone because there is one estimated REM sleep time zone. .

Further, in step S625, an alert notification time period selection unit 42, since the estimated REM sleep time period does not exist, a predetermined period including the current time T _n as an alert notification time period, predetermined memory 104 Store in the area. If the original, but you want to set in accordance with the alert notification time zone to zone REM sleep time, in this case, since the band REM sleep time does not exist, and alert notification time zone a predetermined period including the current time T _n To do.

  Thus, the alert notification time zone calculation process shown in FIG. 25 ends, and the alert notification time zone is set.

  Here, the description returns to the alert notification processing shown in FIG. After the alert notification time zone calculation process in step S537 ends, the alert determination unit 37A executes the process in step S538.

In step S538, the alert determination unit 37A acquires the current time T _n from the CPU 102, for example. Then, the current time T _n is whether included in the alert notification time period set in the process of step S537, i.e. the time T _n currently, the start time after the alert notification time period, and alert notifications hours It is determined whether it is before the end time. If the determination is affirmative, the process proceeds to step S545, and a warning is output to the user or the like by the process of step S545.

  That is, since the management server 30A outputs a warning to the user or the like during the time when the user is in REM sleep, the management server 30A is easier and more awake than in the case of outputting a warning during a time zone other than REM sleep. The user can be woken up. Therefore, it is possible to reduce the occurrence of a situation where the user sleeps twice or the user does not wake up without noticing the warning, and the incontinence of the user can be suppressed.

Incidentally, in step S625, when the predetermined period including the current time T _n and alert notification time period, since the determination process of step S538 becomes affirmative, warn the user or the like is output immediately.

On the other hand, when the determination process of step S538 is negative, the process proceeds to step S540. If the determination process in step S540 is negative, the process moves to step S535, and the current time _Tn is the alert notification time until the user's bladder urine volume B ( _Tn ) exceeds the bladder urine volume threshold _Bth. Continue to determine whether it is included in the band.

  In addition, although the sleep state estimation part 41 which concerns on 6th Embodiment acquired the user's sleep time based on the change of the user's body temperature transmitted from the body temperature sensor 52, the acquisition method of a user's sleep time is to this. Not limited. In general, it is known from various experiments and the like that the average value of the time required to actually enter a sleep state after closing the eyes at bedtime is about 30 minutes.

Therefore, the sleep state estimation unit 41 may estimate the user's REM sleep time zone while sleeping, regarding the time when 30 minutes have elapsed from the urination restriction start time T _s as the user's sleep time, for example. Note that the 30-minute value used as the time required to enter the sleep state is an example, and different values may be used based on attributes such as the user's age and sex. Moreover, you may make it use the value measured for every user.

  In this case, since it is not necessary to estimate the user's sleep time based on a change in body temperature, the body temperature sensor 52 provided in the wearable sensor 10A becomes unnecessary, and the wearable sensor 10 according to the first embodiment is used instead of the wearable sensor 10A. Can be used.

  Moreover, in the above-mentioned example, the sleep state estimation part 41 estimated the user's REM sleep time zone in bedtime, for example by setting the period of REM sleep to 90 minutes and the length of a REM sleep time zone to 15 minutes. However, you may estimate a user's REM sleep time slot | zone using the period of the REM sleep measured for every user, and the length of the REM sleep time slot | zone.

  As described above, according to the management server 30A according to the sixth embodiment, the management server 30A estimates the REM sleep time zone of the sleeping user, and outputs a warning to the user or the like in accordance with the REM sleep time zone. The management server 30A outputs a warning to the user during REM sleep that is easy to wake up compared to other time zones when the user is sleeping, compared to a case where a warning is output during a time zone other than REM sleep, It is possible to wake up the user easily and with good awakening. Therefore, it is possible to reduce the occurrence of a situation where the user sleeps twice or the user does not wake up without noticing the warning, and the incontinence of the user can be suppressed. Furthermore, compared with the case where the user wakes up in a time zone other than REM sleep, it is possible to reduce the feeling of resting sleep and the feeling of fatigue after getting up, so that it is possible to suppress deterioration in the quality of the user's sleep.

  In addition, when a user is a child, for example, the case where it cannot go to a toilet alone even if it gets up in the REM sleep time zone from a fear etc. can be considered.

  Therefore, for example, a guardian's bedtime and wake-up time are input from the life information input screen shown in FIG. 3, and the guardian's bedtime and wake-up time are stored in the life information record DB 40. And based on the process mentioned above, the sleep state estimation part 41 estimates a guardian's REM sleep time zone by estimating a guardian's sleep time from the guardian's bedtime memorize | stored in living information record DB40. To do. And if the alert notification time zone selection part 42 selects the time zone when a user's REM sleep time zone and a guardian's REM sleep time zone overlap as an alert notification time zone, both a user and a guardian will be in REM sleep. Users and guardians can be woken up at certain times.

  Therefore, if the guardian prompts the user to go to the toilet, the user's incontinence can be further suppressed. In this case, since the management server 30A outputs a warning in accordance with the REM sleep time zone of the user and the guardian, the guardian in addition to the user is compared with the case of outputting the warning during a time zone other than the REM sleep time. Can wake up easily and wake up.

  Furthermore, the alert notification method according to the sixth embodiment is not limited to the above example. For example, the alert determination unit 37A refers to the incontinence occurrence time recorded in the life information record DB 40, and estimates a time zone in which the user is likely to be incontinent, where the number of incontinences is a predetermined value or more. Then, the alert determination unit 37A may instruct notification of an alert in a time zone in which the time zone in which the user is likely to be incontinent and the user's REM sleep time zone overlap. Thus, by notifying the alert according to the past incontinence occurrence time, the user's incontinence can be further suppressed.

  In addition, the above aspect is not limited to a combination of a user who is a child and a supervisor who is a guardian, and can be applied to a combination where the user is a care recipient and the supervisor is a caregiver.

  In the sixth embodiment, the sleep state estimation unit 41 has been described as estimating the REM sleep time zone. For example, the sleep state estimation unit 41 is not limited to the REM sleep time, but estimates a time zone where the sleep depth of the patient is shallow. Also good.

(Seventh embodiment)
In 6th Embodiment, the alert notification time slot | zone was set according to the estimated REM sleep time slot | zone. In the seventh embodiment, for example, a user's REM sleep time zone is detected using a sensor or the like that measures biological information that is information related to the user's physiological phenomenon, and an alert notification time zone is set according to the detected REM sleep time zone. An example will be described.

  Therefore, first, the relationship between human physiological phenomena and sleep states will be described.

  FIG. 26 is a diagram illustrating examples of states related to various physiological phenomena during REM sleep and non-REM sleep. In FIG. 26, examples of physiological phenomena include eye movement, muscle tension, heart rate, breathing, blood pressure, sweating, brain waves, activity, heart rate variability (HF), and body temperature.

  Eye movement represents the movement of the eyeball, and the eyeball tends to move more rapidly and more actively during REM sleep than during non-REM sleep. On the other hand, during non-REM sleep, there is a tendency that the movement of the eyeball is less than that during REM sleep, and the movement speed of the eyeball tends to be slower.

  Regarding the tension of muscles that maintain the posture of the body, such as anti-gravity muscles and posture muscles, there is a tendency for REM sleep to be significantly lower than during non-REM sleep. On the other hand, during non-REM sleep, the degree of tension may be temporarily the same as that during REM sleep, but in many cases, the muscles are more strained than during REM sleep, and muscle tension during wakefulness and REM There is a tendency to become an intermediate tension between muscle tension during sleep.

  Regarding the heart rate, the REM sleep tends to be faster than the non-REM sleep, and the heartbeat interval tends to be disturbed. On the other hand, during non-REM sleep, the heart rate tends to be lower than during REM sleep.

  Regarding breathing, REM sleep tends to be faster than non-REM sleep and the breathing interval tends to be disturbed. On the other hand, during non-REM sleep, there is a tendency for breathing to be slower than during REM sleep.

  In addition, blood pressure is not stable during REM sleep compared to non-REM sleep, and tends to be disturbed by shaking up and down. On the other hand, the blood pressure tends to be lower during non-REM sleep than during REM sleep.

  Regarding sweating, the amount of sweating during REM sleep is less than that during non-REM sleep, and there is a tendency for the amount of sweating to be considered to be almost no sweating. On the other hand, during non-REM sleep, the amount of sweating is greater than during REM sleep.

  In addition, regarding the electroencephalogram, there is a tendency that more θ waves, which are brain waves having a frequency exceeding 4 Hz and about 8 Hz or less, appear in REM sleep compared to non-REM sleep. On the other hand, during non-REM sleep, there is a tendency for more δ waves, which are brain waves having a frequency of about 4 Hz or less, to appear compared to during REM sleep.

  In addition, regarding the amount of activity of the body, there is a tendency that the amount of REM sleep increases when compared to non-REM sleep. On the other hand, during non-REM sleep, there is a tendency for the amount of body activity to be smaller than during REM sleep.

  In addition, regarding HF (High Frequency) of heart rate variability, a tendency to be lower during REM sleep than during non-REM sleep is seen. On the other hand, during non-REM sleep, the HF of heart rate variability tends to be higher than during REM sleep. This is because HF of heart rate variability shows parasympathetic nerve activity that works actively as the body enters a relaxed state, and therefore, HF of heart rate variability increases during non-REM sleep, where the amount of body activity is less than during REM sleep. It is considered a thing.

  Here, the HF of heart rate variability is a power spectrum having a frequency exceeding 0.15 Hz and having a frequency of about 0.4 Hz or less, among frequency power spectra obtained as a result of frequency conversion performed on the heart rate variability. It means the average value of. Note that the HF of heart rate variability may be expressed by using other indices such as a peak value instead of the average value of the power spectrum.

  In addition, regarding body temperature, a tendency to increase during REM sleep compared to non-REM sleep is seen. On the other hand, during non-REM sleep, the body temperature tends to be lower than during REM sleep.

  Therefore, for example, by measuring at least one biological information among various types of biological information shown as an example in FIG. 26 with a sensor, it is possible to detect a REM sleep time zone during which the user enters REM sleep.

  FIG. 27 is a diagram illustrating an example of a configuration of an incontinence suppression system 1B according to the seventh embodiment. The incontinence suppression system 1B shown in FIG. 27 is different from the configuration of the incontinence suppression system 1 shown in FIG. 1 in that a REM sleep detection unit 43 is added and the alert determination unit 37 is replaced with an alert determination unit 37B. . Further, along with the replacement of the alert determination unit 37 with the alert determination unit 37B, the notification unit 33 is replaced with the notification unit 33B. Further, as the REM sleep detection unit 43 is added and the notification unit 33 is replaced with the notification unit 33B, the management server 30 is also replaced with the management server 30B.

  The REM sleep detection unit 43 is connected to the sensor information reception unit 31 and the alert determination unit 37B included in the notification unit 33B. The REM sleep detection unit 43 acquires the biological information transmitted from the wearable sensor 10B in real time from the sensor information reception unit 31, and detects whether the user is in REM sleep. And the REM sleep detection part 43 notifies that to the alert determination part 37B at the time of detecting that the user has become REM sleep.

  When the alert determination unit 37B receives from the REM sleep detection unit 43 that the user is in REM sleep, the alert determination unit 37B notifies the alert notification unit 38 of an instruction to output a warning to the user or the like.

  Further, the wearable sensor 10B further includes a body temperature sensor 52, a heart rate sensor 53, a respiration sensor 54, a blood pressure sensor 55, an electroencephalogram sensor 56, an electrooculogram sensor 57, and a body motion sensor as compared with the wearable sensor 10 shown in FIG. 58 is added. Here, the heart rate sensor 53 measures the user's heart rate per unit time, for example, and measures the HF of the user's heart rate variability. The electrooculogram sensor 57 detects the amount of activity of the user's eyeball by measuring a potential difference caused by contraction of muscles around the eyeball. The body motion sensor 58 is a kind of acceleration sensor that measures so-called acceleration, and measures the amount of activity of the user from the acceleration when the body moves.

  In addition to the incontinence occurrence information transmitted from the urine sensor 12 and the average sweating amount transmitted from the sweat sensor 13, the transmitter 11 </ b> B further transmits body temperature data transmitted from the body temperature sensor 52 and the heart rate sensor 53. Heart rate data and HF data are transmitted to the operation terminal 20. Further, the transmission unit 11B receives the respiration data transmitted from the respiration sensor 54, the blood pressure data transmitted from the blood pressure sensor 55, the electroencephalogram data transmitted from the electroencephalogram sensor 56, and the eye movement data transmitted from the electrooculogram sensor 57. It transmits to the operation terminal 20. Further, the transmission unit 11 </ b> B transmits the activity amount data transmitted from the body motion sensor 58 to the operation terminal 20.

  For example, the measuring element 16 is connected to the body temperature sensor 52, the heart rate sensor 53, the respiration sensor 54, the blood pressure sensor 55, the electroencephalogram sensor 56, the electrooculogram sensor 57, and the body motion sensor 58. The element 16 is used to measure the physiological phenomenon of the user.

  Next, FIG. 28 shows an example of a configuration diagram when the management server 30B is realized by a computer.

  The configuration of the computer 100B illustrated in FIG. 28 is different from the configuration of the computer 100 according to the first embodiment illustrated in FIG. 7 in that the REM sleep detection process 138 is newly stored in the storage unit 106. Also, the alert determination process 128 according to the first embodiment is replaced with an alert determination process 128B. In addition, with the above-described change, the determination program 120 according to the first embodiment is replaced with the determination program 120B.

  The CPU 102 reads the determination program 120B from the storage unit 106, expands it in the memory 104, and executes each process included in the determination program 120B.

  The CPU 102 reads out the determination program 120B from the storage unit 106, expands it in the memory 104, and executes the determination program 120B, whereby the computer 100B operates as the management server 30B shown in FIG.

  Further, when the CPU 102 executes the alert determination process 128B, the computer 100B operates as the alert determination unit 37B illustrated in FIG. In addition, when the CPU 102 executes the REM sleep detection process 138, the computer 100B operates as the REM sleep detection unit 43 illustrated in FIG.

  Note that when the CPU 102 executes the alert determination process 128B and the alert notification process 130, the computer 100B operates as the notification unit 33B illustrated in FIG.

  The computer 100B can be realized by, for example, a semiconductor integrated circuit, more specifically, an ASIC or the like.

  Next, the operation of the management server 30B according to the seventh embodiment will be described. The determination process executed by the management server 30B is different from the determination process of the management server 30 according to the first embodiment shown in FIG. 8 in that the alert notification process in step S500 is different. Processing similar to that of the management server 30 according to the embodiment is executed.

  FIG. 29 is a flowchart illustrating an example of a flow of alert notification processing executed by the management server 30B according to the seventh embodiment.

  If the determination process in step S505 is negative or the determination process in step S520 is negative, that is, if the user is already sleeping, the determination process in step S531 is executed.

  In step S <b> 531, the REM sleep detection unit 43 acquires the user's biological information measured by the wearable sensor 10 </ b> B from the sensor information reception unit 31. And the REM sleep detection part 43 determines whether a user is REM sleep based on the acquired biometric information.

  Specifically, the REM sleep detection unit 43 acquires a threshold value for each piece of biometric information developed from the constant storage area 144 illustrated in FIG. 28 and stored in advance in a predetermined area of the memory 104. This threshold value indicates a reference value that can be considered that the user is in a REM sleep state, and is a value obtained from an experiment or the like regarding REM sleep.

  The REM sleep detector 43 determines whether or not the user is in REM sleep by comparing a value related to biological information acquired from the sensor information receiver 31 with a threshold value.

  FIG. 30 is a diagram illustrating an example of a REM sleep detection method in the REM sleep detection unit 43. 30 shows an example in which REM sleep is detected using heart rate, respiration rate, and heart rate variability (HF) as biometric information for convenience of explanation, but blood pressure and other biologics shown in FIG. A similar detection method is used when information is included.

Figure 30 is in the sleeping from urination limitation start time T _s until urination limit end time T _e, the change in intravesical urine user B (t), changes in heart rate, breathing rate changes, and heart rate variability ( An example of the change of (HF) is shown.

The REM sleep detection unit 43 compares the latest heart rate data of the user acquired from the sensor information reception unit 31 with the threshold value H _th corresponding to the heart rate, and when the heart rate is equal to or higher than the threshold value H _th , Is determined to be in REM sleep. This is because, as already described with reference to FIG. 26, the heart rate tends to be faster during REM sleep than during non-REM sleep.

However, there are individual differences in the biometric information, and there may be a case where there is a user whose heart rate is less than the threshold value H _th even when REM sleeps. That is, if it is determined that the user is in REM sleep with one type of biological information (in this case, heart rate), the determination accuracy may be reduced.

Therefore, the REM sleep detection unit 43 further compares the latest breath data of the user acquired from the sensor information reception unit 31 with the threshold value BR _th corresponding to the respiratory rate, and when the respiratory rate is equal to or higher than the threshold value BR _th. It is determined that the user may be in REM sleep. This is because, as already described using FIG. 26, breathing tends to be faster during REM sleep than during non-REM sleep.

  Note that, for example, an increase or an increase rate with respect to the average respiration rate in the past predetermined time may be compared with a threshold value to determine whether or not the user may be in REM sleep.

The REM sleep detection unit 43 further compares the latest HF data of the user acquired from the sensor information reception unit 31 with the threshold value HF _th corresponding to the heart rate variation (HF), and the heart rate variation (HF) is the threshold value. When HF _th or less, it is determined that the user may be in REM sleep. This is because, as already described with reference to FIG. 26, the heart rate variability (HF) tends to be lower during REM sleep than during non-REM sleep.

  In addition, in FIG. 30, the area | region which gave the hatching has shown the time slot | zone when the user may be in REM sleep.

  Hereinafter, the REM sleep detection unit 43 performs the same process as the process described above on the other biological information measured by the wearable sensor 10B, and determines whether the user may be in REM sleep. To do.

  Then, when the REM sleep detection unit 43 determines that the user may be in REM sleep with all types of biological information measured by the wearable sensor 10B, for example, the user becomes REM sleep. It is determined that

  When the REM sleep detection unit 43 determines that there is a possibility that the user is in REM sleep with a predetermined number or more types of biometric information instead of all types of biometric information acquired, It may be determined that the user is in REM sleep.

  Thus, the determination accuracy of REM sleep is improved by determining REM sleep using a plurality of types of biological information, as compared with the case where it is determined that the user is in REM sleep using one type of biological information. Can be made.

  Note that the determination of REM sleep is not limited to using a plurality of types of biological information, and may be determined from one type of biological information. In this case, the configuration of the wearable sensor 10B can be simplified.

Next, in step S533 of FIG. 29, the alert determination unit 37B, for example, acquires the current time _{T n} from CPU 102. The alert determination unit 37B determines the current time T _n is whether included in the alert notification time period. If the determination is affirmative, the process proceeds to step S545, and a warning is output to the user or the like by the process of step S545.

  That is, since the alert notification unit 38 outputs a warning to the user or the like when it is detected that the user is in REM sleep, compared to a case where a warning is output in a time zone other than REM sleep, In addition, the user can wake up with good awakening.

Here, the alert notification time period according to the seventh embodiment, for example, a user of the incontinence scheduled time T (u), the time from the incontinence scheduled time T (u) until the predetermined time only before the time t _x A band (refer FIG. 30) is said. In this way, in the incontinence scheduled time T (u) before, and, by setting the band time to be adjacent to incontinence scheduled time T (u) in the alert notification time zone, the user wakes up in the warning from urination limit start time T _s It can take a long time to do so, and the quality of sleep of the user can be improved.

  Note that the alert notification method according to the seventh embodiment is not limited to this. For example, the alert determination unit 37B refers to the incontinence occurrence time recorded in the life information recording DB 40, and estimates a time zone in which the user is likely to be incontinent, where the number of incontinences is a predetermined value or more. And the alert determination part 37B may set an alert notification time slot | zone according to a user's past incontinence occurrence time, such as setting the said time slot | zone as an alert notification time slot | zone. By setting the alert notification time zone in this way, user incontinence can be further suppressed.

On the other hand, when the determination process in step S533 is negative, the process proceeds to step S535, and the same process as that in the first embodiment is executed. However, if the determination process in step S540 is negative, the process proceeds to step S531 instead of step S535 until the user's bladder urine volume B (T _n ) exceeds the bladder urine volume threshold B _th. The detection part 43 continues the determination which detects whether a user is REM sleep.

  As described above, according to the management server 30B according to the seventh embodiment, the management server 30B detects whether the sleeping user is in REM sleep based on the user's biological information measured by the wearable sensor 10B. A warning is output to the user or the like during REM sleep. When the management server 30B outputs a warning to the user or the like when the user is in REM sleep, which is easier to wake up than other time periods when the user is sleeping, the management server 30B outputs a warning in a time slot other than REM sleep Compared with this, it is possible to wake up the user easily and with good awakening. Therefore, it is possible to reduce the occurrence of a situation where the user sleeps twice or the user does not wake up without noticing the warning, and the incontinence of the user can be suppressed. Furthermore, compared with the case where the user wakes up in a time zone other than REM sleep, it is possible to reduce the feeling of resting sleep and the feeling of fatigue after getting up, so that it is possible to suppress deterioration in the quality of the user's sleep.

  As already described in the sixth embodiment, when the user is, for example, a child, there may be a case where the user cannot go to the toilet alone even if he / she wakes up due to fear or the like.

  Therefore, for example, the wearable sensor 10B may be attached to the guardian, and the management server 30B may further acquire the biometric information of the guardian in addition to the user. In this case, the REM sleep detection unit 43 further determines whether or not the guardian is in REM sleep by the determination method described in the process of step S531, based on the biological information of the guardian, and the user and the guardian Detects the time when both are in REM sleep.

  If a warning is output to the user and the guardian when both the user and the guardian are in REM sleep, the user and the guardian can be easily woken up compared to a case where a warning is output in a time zone other than the REM sleep. Can be made.

  Therefore, if the guardian prompts the user to go to the toilet, the user's incontinence can be further suppressed. For the user, REM sleep is detected from the biological information, and for the supervisor such as a guardian, as described in the sixth embodiment, the REM sleep is estimated based on the elapsed time since going to bed. good. Note that the above aspect is not limited to the combination of the user being a child and the supervisor being a guardian. For example, the user can be applied to a combination of a care recipient and a supervisor being a caregiver.

  In addition, the sleep state estimation part 41 in 6th Embodiment and the REM sleep detection part 43 in 7th Embodiment are examples of the acquisition part which concerns on the technique of an indication.

  In the seventh embodiment, the REM sleep detection unit 43 has been described as detecting the REM sleep state of the patient. For example, the REM sleep detection unit 43 is not limited to the REM sleep, and estimates a state where the sleep depth of the patient is shallow. Also good.

  As described above, the disclosed technology has been described using each embodiment, but the disclosed technology is not limited to the scope described in each embodiment. Various modifications or improvements can be added to each embodiment without departing from the spirit of the disclosed technique, and forms to which the modifications or improvements are added are also included in the technical scope of the disclosed technique. For example, the processing order may be changed without departing from the scope of the disclosed technology.

  Moreover, although each embodiment demonstrated the aspect by which the determination programs 120, 120A, and 120A were previously memorize | stored (installed) in the memory | storage part, it is not limited to this. The determination programs 120, 120 </ b> A, and 120 </ b> A according to the disclosed technology can be provided in a form recorded on the computer-readable recording medium 116. For example, the determination programs 120, 120A, and 120A according to the disclosed technology can be provided in a form recorded in a portable recording medium such as a CD-ROM, a DVD-ROM, and a USB memory. In addition, the determination programs 120, 120A, and 120A according to the disclosed technique can be provided in a form recorded in a semiconductor memory such as a flash memory.

  In each embodiment, the average sweating amount of the user is measured by the sweating sensor 13 included in the wearable sensors 10, 10A, and 10B. However, the acquisition method of the average sweating amount of the user is not limited to this. For example, the average sweating amount of a general person may be registered in advance as the average sweating amount of the personal characteristic DB 39, and the average sweating amount registered in the personal characteristic DB 39 may be used. In this case, the sweat sensor 13 of the wearable sensors 10, 10A, and 10B is unnecessary. Furthermore, when the incontinence is not detected by the urine sensor 12 included in the wearable sensors 10, 10 </ b> A, and 10 </ b> B in each embodiment, the user or the guardian is incontinent from the input screen of the operation terminal 20 when incontinence is detected. If the information is registered, the urine sensor 12 becomes unnecessary.

  For example, if each functional unit included in the operation terminal 20 is mounted on a wristwatch type terminal with a GPS (Global Positioning System) function, the user can use the incontinence suppression system 1 even while exercising. Therefore, for example, before a situation in which a person wants to go to a toilet during a marathon occurs, it can be determined whether it is better to urinate in a toilet provided in advance.

  Regarding the above embodiments, the following additional notes are disclosed.

(Appendix 1)
Based on the amount of water taken and the time of water intake, the amount of urine generated after the water intake time is estimated and included in the bladder estimated based on the amount of water generated An estimator for estimating a time at which a volume value to be warned is compared by comparing a volume of urine and a capacity of the bladder in which the generated urine is stored;
A notification unit for notifying a warning according to a result estimated by the estimation unit;
Judgment device including

(Appendix 2)
The estimation unit is a value obtained by multiplying the amount of urine contained in the bladder during the water intake time, and the urine production rate that changes according to the elapsed time from the water intake time to the amount of water taken. The determination device according to claim 1, wherein a value obtained by subtracting the cumulative amount of sweating from the water intake time from the sum of the above and the estimated amount of urine contained in the bladder.

(Appendix 3)
The estimation unit is a time after an end time of a urination restriction period that is predetermined as a period during which urination is restricted among the estimated times corresponding to each of a plurality of scheduled urination times for which urination is scheduled, and the urination The determination apparatus according to claim 1 or 2, further estimating the scheduled urination time corresponding to the estimated time closest to the end time of the restriction period.

(Appendix 4)
The notification unit, when the scheduled urination time is before the start time of the urination restriction period and the estimated time of the urination is before the scheduled urination time, gives the warning to the scheduled urination time. Notification device described in appendix 3.

(Appendix 5)
The notification unit is configured such that the scheduled urination time is before the start time of the urination restriction period, and the estimated time of the urination is after the scheduled urination time, and the start time of the urination restriction period The determination device according to claim 3, wherein if it is earlier, the warning is notified by a start time of the urination restriction period.

(Appendix 6)
The notifying unit starts the urination restriction period when the estimated urination time is after the start time of the urination restriction period and the time when the estimated urination time is estimated is before the start time of the urination restriction period Notifying the warning before time, and notifying the warning again when the amount of urine contained in the bladder at each time of the urination restriction period estimated by the estimation unit exceeds the capacity of the bladder Yes Judgment device according to appendix 3.

(Appendix 7)
When the time at which the estimated urination time is estimated is after the start time of the urination restriction period, the notifying unit determines the amount of urine contained in the bladder at each time of the urination restriction period estimated by the estimation unit. The determination device according to attachment 3, wherein the warning is notified when the capacity of the bladder is exceeded.

(Appendix 8)
It further includes an acquisition unit that acquires the sleep depth of the bedtime period,
The determination device according to any one of appendix 1 to appendix 7, wherein the notification unit notifies the warning during a period when the sleep depth is determined to be shallow by the acquisition unit.

(Appendix 9)
The acquisition unit acquires an incontinence monitoring subject whose urine volume contained in the bladder is estimated, and a sleep depth of a supervisor of the incontinence monitoring subject,
The determination device according to claim 8, wherein the notification unit notifies the warning during a period in which the acquired sleep depth is determined to be shallow.

(Appendix 10)
The acquisition unit detects that the sleep depth is shallow,
The said notification part notifies the said warning in the period when it is detected that the sleep depth is shallow among the said sleeping periods, when notifying the said warning in the said sleeping period. The judgment apparatus of Additional remark 8 or Additional remark 9 .

(Appendix 11)
The acquisition unit estimates that the sleep depth is shallow,
The said notification part notifies the said warning in the period when it is estimated that the sleep depth is shallow among the said sleeping periods, when notifying the said warning in the said bedtime period. The judgment apparatus of Additional remark 8 or Additional remark 9 .

(Appendix 12)
The notification unit notifies the warning during a time period in which occurrence accuracy of incontinence set in advance according to past incontinence occurrence time is estimated to be equal to or greater than a predetermined value during a period detected or estimated as a sleep depth is shallow. The determination device according to any one of appendix 8 to appendix 11.

(Appendix 13)
The acquisition unit detects or estimates a REM sleep state,
The determination unit according to any one of supplementary notes 8 to 12, wherein the notification unit notifies the warning during a period in which the patient's sleep state is determined to be a REM sleep state by the acquisition unit.

(Appendix 14)
The determination device according to any one of appendix 3 to appendix 7, wherein the urination restriction period is a sleeping period.

(Appendix 15)
The notification unit notifies the warning to at least one of an incontinence monitoring target person whose urine volume contained in the bladder is estimated and a supervisor of the incontinence monitoring target person. Determining device described in 1.

(Appendix 16)
On the computer,
Based on the amount of water taken and the time of water intake, the amount of urine generated after the water intake time is estimated and included in the bladder estimated based on the amount of water generated Comparing the amount of urine and the volume of the bladder in which the generated urine is stored, and estimating the time when the volume value should be warned,
A determination method for executing processing including notifying a warning according to the estimated result.

(Appendix 17)
The urine production rate in which the amount of urine contained in the bladder changes according to the amount of urine contained in the bladder during the water intake time and the time elapsed from the water intake time to the amount of water taken. The judgment method according to claim 16, wherein a value obtained by subtracting the cumulative sweating amount from the water intake time is estimated from a sum of the value obtained by multiplying by

(Appendix 18)
Of the estimated time corresponding to each of a plurality of scheduled urination times for which urination is scheduled, after the end time of the urination restriction period that is predetermined as a period during which urination is restricted, and the end time of the urination restriction period The determination method according to appendix 16 or appendix 17, wherein the estimated urination time corresponding to the estimated time closest to is further estimated.

(Appendix 19)
The warning is notified to the scheduled urination time when the estimated urination time is before the start time of the urination restriction period and the estimated time of the urination is before the scheduled urination time. Judgment method.

(Appendix 20)
When the scheduled urination time is before the start time of the urination restriction period, and the time when the estimated urination time is estimated is after the scheduled urination time and before the start time of the urination restriction period The determination method according to claim 18, wherein the warning is notified by a start time of the urination restriction period.

(Appendix 21)
If the scheduled urination time is after the start time of the urination restriction period, and the time when the estimated urination time is estimated is before the start time of the urination restriction period, before the start time of the urination restriction period The determination method according to claim 18, wherein the warning is notified, and the warning is notified again when the amount of urine contained in the bladder at each estimated time of the urination restriction period exceeds the capacity of the bladder.

(Appendix 22)
When the estimated time of urination is after the start time of the urination restriction period, when the amount of urine contained in the bladder at each time of the estimated urination restriction period exceeds the capacity of the bladder, The determination method according to appendix 18, wherein the warning is notified.

(Appendix 23)
Get the sleep depth of the bedtime,
The determination method according to any one of appendix 16 to appendix 22, wherein the warning is notified during a period in which the acquired sleep depth is determined to be shallow.

(Appendix 24)
The incontinence monitoring subject whose urine volume contained in the bladder is estimated, and the sleep depth of the supervisor of the incontinence monitoring subject,
The determination method according to appendix 23, wherein the warning is notified during a period in which both of the acquired sleep depths are determined to be shallow.

(Appendix 25)
Detecting that the sleep depth is shallow,
The determination method according to Supplementary Note 23 or Supplementary Note 24, wherein when the warning is notified during the sleeping period, the warning is notified during a period in which the sleep depth is detected to be shallow in the sleeping period.

(Appendix 26)
Estimate that the sleep depth is shallow,
The determination method according to Supplementary Note 23 or Supplementary Note 24, wherein when the warning is notified during the sleeping period, the warning is notified during a period in which the sleep depth is estimated to be shallow in the sleeping period.

(Appendix 27)
The warning is notified during a time period in which the accuracy of occurrence of incontinence set in advance according to past incontinence occurrence time is estimated to be equal to or greater than a predetermined value during the period detected or estimated that the sleep depth is shallow. 27. The determination method according to any one of 26.

(Appendix 28)
Detect or estimate REM sleep state,
The determination method according to any one of supplementary notes 23 to 27, wherein the warning is notified during a period in which the patient's sleep state is determined to be a REM sleep state.

(Appendix 29)
The determination method according to any one of appendix 18 to appendix 22, wherein the urination restriction period is a sleeping period.

(Appendix 30)
The judgment method according to any one of appendix 16 to appendix 29, wherein the warning is notified to at least one of an incontinence monitoring target person who is estimated the amount of urine contained in the bladder and a supervisor of the incontinence monitoring target person. .

(Appendix 31)
On the computer,
Based on the amount of water taken and the time of water intake, the amount of urine generated after the water intake time is estimated and included in the bladder estimated based on the amount of water generated Comparing the amount of urine and the volume of the bladder in which the generated urine is stored, and estimating the time when the volume value should be warned,
A determination program for executing processing including notifying a warning according to the estimated result.

(Appendix 32)
The urine production rate in which the amount of urine contained in the bladder changes according to the amount of urine contained in the bladder during the water intake time and the time elapsed from the water intake time to the amount of water taken. The judgment program according to claim 31, wherein the value is estimated as a value obtained by subtracting the cumulative sweating amount from the water intake time from the sum of the value multiplied by.

(Appendix 33)
Of the estimated time corresponding to each of a plurality of scheduled urination times for which urination is scheduled, after the end time of the urination restriction period that is predetermined as a period during which urination is restricted, and the end time of the urination restriction period The determination program according to appendix 31 or appendix 32, further estimating the scheduled urination time corresponding to the estimated time closest to.

(Appendix 34)
The warning is notified to the scheduled urination time when the estimated urination time is before the start time of the urination restriction period and the estimated time of the urination is before the scheduled urination time. Judgment program.

(Appendix 35)
When the scheduled urination time is before the start time of the urination restriction period, and the time when the estimated urination time is estimated is after the scheduled urination time and before the start time of the urination restriction period The determination program according to attachment 33, wherein the warning is notified by a start time of the urination restriction period.

(Appendix 36)
If the scheduled urination time is after the start time of the urination restriction period, and the time when the estimated urination time is estimated is before the start time of the urination restriction period, before the start time of the urination restriction period 34. The determination program according to claim 33, wherein notifying the warning and notifying the warning again when the amount of urine contained in the bladder at each estimated time of the urination restriction period exceeds the capacity of the bladder.

(Appendix 37)
When the estimated time of urination is after the start time of the urination restriction period, when the amount of urine contained in the bladder at each time of the estimated urination restriction period exceeds the capacity of the bladder, 34. The determination program according to appendix 33, which notifies the warning.

(Appendix 38)
Get the sleep depth of the bedtime,
The determination program according to any one of supplementary notes 31 to 37, wherein the warning is notified during a period in which the acquired sleep depth is determined to be shallow.

(Appendix 39)
The incontinence monitoring subject whose urine volume contained in the bladder is estimated, and the sleep depth of the supervisor of the incontinence monitoring subject,
39. The determination program according to appendix 38, wherein the warning is notified during a period in which the acquired sleep depth is determined to be shallow.

(Appendix 40)
Detecting that the sleep depth is shallow,
The judgment program according to Supplementary Note 38 or Supplementary Note 39, wherein, when the warning is notified during the bedtime period, the warning is notified during a period in which the sleep depth is detected to be shallow in the bedtime period.

(Appendix 41)
Estimate that the sleep depth is shallow,
The judgment program according to Supplementary Note 38 or Supplementary Note 39, wherein when the warning is notified during the bedtime period, the warning is notified during a period when the sleep depth is estimated to be shallow in the bedtime period.

(Appendix 42)
The warning is notified during a time period in which the occurrence accuracy of incontinence set in advance according to past incontinence occurrence time is estimated to be equal to or greater than a predetermined value during the period detected or estimated that the sleep depth is shallow. 41. The determination program according to any one of 41.

(Appendix 43)
Detect or estimate REM sleep state,
The determination program according to any one of appendix 38 to appendix 42, wherein the warning is notified during a period when the sleep state of the patient is determined to be the REM sleep state.

(Appendix 44)
The determination program according to any one of appendix 33 to appendix 37, wherein the urination restriction period is a bedtime period.

(Appendix 45)
45. The determination program according to any one of appendix 31 to appendix 44, wherein the warning is notified to at least one of an incontinence monitoring subject who is estimated the amount of urine contained in the bladder and a supervisor of the incontinence monitoring subject. .

(Appendix 46)
On the computer,
Based on the amount of water taken and the time of water intake, the amount of urine generated after the water intake time is estimated and included in the bladder estimated based on the amount of water generated Comparing the amount of urine and the volume of the bladder in which the generated urine is stored, and estimating the time when the volume value should be warned,
A computer-readable recording medium recording a determination program for executing a process including notifying a warning according to the estimated result.

DESCRIPTION OF SYMBOLS 1 (1A, 1B) ... Incontinence suppression system, 10 (10A, 10B) ... Wearable sensor, 11 (11A, 11B) ... Transmission part, 12 ... Urine sensor, 13 ... Sweat sensor , 14 ... Probe, 15 ... Attachment, 20 ... Operation terminal, 21 ... Sensor data receiver, 22 ... Sensor data transmitter, 23 ... Alert receiver, 24 ... Vibrator, 25 ... Speaker, 26 ... Living information record transmission unit, 27 ... Display, 28 ... Input unit, 30 (30A, 30B) ... Management server, 31 ... Sensor information reception 32 (32A) ... estimation part, 33 (33A, 33B) ... notification part, 34 ... life information record reception part, 35 ... urinary bladder urine volume estimation part, 36 ... urination Scheduled time calculator, 37 (37A 37B) ... alert determination unit, 38 ... alert notification unit, 39 ... personal characteristic DB, 40 ... life information record DB, 41 ... sleep state estimation unit, 42 ... alert notification time Belt selection unit, 43 ... REM sleep detection unit, 50 (51) ... communication line, 52 ... body temperature sensor, 53 ... heart rate sensor, 54 ... breath sensor, 55 ... blood pressure sensor 56 ... Electroencephalogram sensor, 57 ... Electrooculogram sensor, 58 ... Body motion sensor, 60 ... Food water content table, 100 (100A, 100B) ... Computer, 102 ... CPU, 104 ... Memory, 106 ... Storage unit, 108 ... Bus, 112 ... Input device, 114 ... Communication device, 116 ... Recording medium, 120 (120A, 120B) ... Judgment program

Claims (17)

Based on the amount of water taken and the time of water intake, the amount of urine generated after the water intake time is estimated and included in the bladder estimated based on the amount of water generated An estimator for estimating a time at which a volume value to be warned is compared by comparing a volume of urine and a capacity of the bladder in which the generated urine is stored;
A notification unit for notifying a warning according to a result estimated by the estimation unit;
Judgment device including The estimation unit is a value obtained by multiplying the amount of urine contained in the bladder during the water intake time, and the urine production rate that changes according to the elapsed time from the water intake time to the amount of water taken. The determination apparatus according to claim 1, wherein a value obtained by subtracting the cumulative sweating amount from the water intake time from the sum of the above and the estimated amount of urine contained in the bladder. The estimation unit is a time after an end time of a urination restriction period that is predetermined as a period during which urination is restricted among the estimated times corresponding to each of a plurality of scheduled urination times for which urination is scheduled, and the urination The determination apparatus according to claim 1, further estimating the scheduled urination time corresponding to the estimated time closest to the end time of the restriction period. The notification unit, when the scheduled urination time is before the start time of the urination restriction period and the estimated time of the urination is before the scheduled urination time, gives the warning to the scheduled urination time. The determination device according to claim 3 which notifies. The notification unit is configured such that the scheduled urination time is before the start time of the urination restriction period, and the estimated time of the urination is after the scheduled urination time, and the start time of the urination restriction period The determination device according to claim 3, wherein if it is earlier, the warning is notified by a start time of the urination restriction period. The notifying unit starts the urination restriction period when the estimated urination time is after the start time of the urination restriction period and the time when the estimated urination time is estimated is before the start time of the urination restriction period Notifying the warning before time, and notifying the warning again when the amount of urine contained in the bladder at each time of the urination restriction period estimated by the estimation unit exceeds the capacity of the bladder The determination device according to claim 3. When the time at which the estimated urination time is estimated is after the start time of the urination restriction period, the notifying unit determines the amount of urine contained in the bladder at each time of the urination restriction period estimated by the estimation unit. The determination device according to claim 3, wherein the warning is notified when a capacity of the bladder is exceeded. It further includes an acquisition unit that acquires the sleep depth of the bedtime period,
The determination device according to any one of claims 1 to 7, wherein the notification unit notifies the warning during a period in which the acquisition unit determines that the sleep depth is shallow. The acquisition unit acquires an incontinence monitoring subject whose urine volume contained in the bladder is estimated, and a sleep depth of a supervisor of the incontinence monitoring subject,
The determination device according to claim 8, wherein the notification unit notifies the warning during a period in which the acquired sleep depth is determined to be shallow. The acquisition unit detects that the sleep depth is shallow,
The said notification part notifies the said warning in the period when it is detected that the sleep depth is shallow among the said sleeping periods, when notifying the said warning during the said sleeping period. Judgment device. The acquisition unit estimates that the sleep depth is shallow,
10. The notification unit according to claim 8, wherein, when notifying the warning during the bedtime period, the warning unit notifies the warning during a period in which a sleep depth is estimated to be shallow in the bedtime period. Judgment device. The notification unit notifies the warning during a time period in which occurrence accuracy of incontinence set in advance according to past incontinence occurrence time is estimated to be equal to or greater than a predetermined value during a period detected or estimated as a sleep depth is shallow. The determination device according to any one of claims 8 to 11. The acquisition unit detects or estimates a REM sleep state,
The determination device according to any one of claims 8 to 12, wherein the notification unit notifies the warning during a period in which the acquisition unit determines that the patient's sleep state is a REM sleep state. The determination apparatus according to any one of claims 3 to 7, wherein the urination restriction period is a bedtime period. The notification section notifies the warning to at least one of an incontinence monitoring target person whose urine volume contained in the bladder is estimated and a supervisor of the incontinence monitoring target person. The judgment device according to item 1. On the computer,
Based on the amount of water taken and the time of water intake, the amount of urine generated after the water intake time is estimated and included in the bladder estimated based on the amount of water generated Comparing the amount of urine and the volume of the bladder in which the generated urine is stored, and estimating the time when the volume value should be warned,
A determination method for executing processing including notifying a warning according to the estimated result. On the computer,
Based on the amount of water taken and the time of water intake, the amount of urine generated after the water intake time is estimated and included in the bladder estimated based on the amount of water generated Comparing the amount of urine and the volume of the bladder in which the generated urine is stored, and estimating the time when the volume value should be warned,
A determination program for executing processing including notifying a warning according to the estimated result.