EP2194515A1 - Surveillance de sujets - Google Patents

Surveillance de sujets Download PDF

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Publication number
EP2194515A1
EP2194515A1 EP08170465A EP08170465A EP2194515A1 EP 2194515 A1 EP2194515 A1 EP 2194515A1 EP 08170465 A EP08170465 A EP 08170465A EP 08170465 A EP08170465 A EP 08170465A EP 2194515 A1 EP2194515 A1 EP 2194515A1
Authority
EP
European Patent Office
Prior art keywords
subject
bed
output
algorithm
category
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Ceased
Application number
EP08170465A
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German (de)
English (en)
Inventor
designation of the inventor has not yet been filed The
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Philips Intellectual Property and Standards GmbH
Koninklijke Philips NV
Original Assignee
Philips Intellectual Property and Standards GmbH
Koninklijke Philips Electronics NV
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Philips Intellectual Property and Standards GmbH, Koninklijke Philips Electronics NV filed Critical Philips Intellectual Property and Standards GmbH
Priority to EP08170465A priority Critical patent/EP2194515A1/fr
Publication of EP2194515A1 publication Critical patent/EP2194515A1/fr
Ceased legal-status Critical Current

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Classifications

    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING SYSTEMS, e.g. PERSONAL CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • G08B21/18—Status alarms
    • G08B21/22—Status alarms responsive to presence or absence of persons
    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING SYSTEMS, e.g. PERSONAL CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • G08B21/02—Alarms for ensuring the safety of persons
    • G08B21/0202—Child monitoring systems using a transmitter-receiver system carried by the parent and the child
    • G08B21/0227—System arrangements with a plurality of child units
    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING SYSTEMS, e.g. PERSONAL CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • G08B21/02—Alarms for ensuring the safety of persons
    • G08B21/0202—Child monitoring systems using a transmitter-receiver system carried by the parent and the child
    • G08B21/0238—Child monitoring systems using a transmitter-receiver system carried by the parent and the child adding new units to the system
    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING SYSTEMS, e.g. PERSONAL CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • G08B21/02—Alarms for ensuring the safety of persons
    • G08B21/0202—Child monitoring systems using a transmitter-receiver system carried by the parent and the child
    • G08B21/0241—Data exchange details, e.g. data protocol
    • G08B21/0252—System arrangements wherein the child unit emits, i.e. the child unit incorporates the emitter

Definitions

  • This invention relates to a method of, and system for, monitoring one or more subjects in respective units such as beds.
  • the invention provides a notification scheme for bed departures of agile and fall prone residents, for example, for use in nursing homes.
  • carers in nursing homes want to be informed when the elderly in their care leave their bed at night.
  • the nurses want to be informed sooner or later about the bed departure.
  • the carers would like to be informed even before the bed departure of a fragile elderly in order to avoid falls.
  • it is sufficient to notify the carer if an agile but elderly subject has not returned to bed after a couple of minutes, since this could indicate that the subject has left their room and is roaming in the nursing home. No notification and hence no additional workload for the nurses is necessary if the agile elderly subject has returned to bed within some minutes, though.
  • a method of monitoring one or more subjects in respective units comprising presenting a plurality of categories, at a first device, receiving an input for a subject, the input selecting a category for the subject, at an input device, monitoring the or each subject, for which a category has been selected, with a respective sensor, receiving an output from the or each sensor, the output indicating movement of a subject with respect to their respective unit, at a processing device, executing an algorithm using the selected category and the received output, at the processing device, and generating an output signal, according to the executed algorithm, at an output device.
  • a system for monitoring one or more subjects in respective units comprising a first device arranged to present a plurality of categories, an input device arranged to receive an input for a subject, the input selecting a category for the subject, one or more sensors arranged to monitor the or each subject, for which a category has been selected, a processing device arranged to receive an output from the or each sensor, the output indicating movement of a subject with respect to their respective unit, and to execute an algorithm using the selected category and the received output, and an output device arranged to generate an output signal, according to the executed algorithm.
  • the desired notification scheme for the bed departure of an elderly can be activated by assigning the subject to a risk group.
  • the parameters of the presence detection algorithm are then set automatically to predefined values.
  • the ordering scheme provides that the numerous notifications to the carers are organized hierarchically by the risk groups the monitored people belong to and/or chronologically. The messages disappear once the monitored persons have returned to bed.
  • the execution of the algorithm in respect of the received output detects a predefined event.
  • the predefined event comprises, for example whether a subject has sat up in bed, whether a subject has left their bed or whether a subject has returned to their bed.
  • the output of a sensor that is monitoring a subject has to be processed to determine a meaningful fact (within a certain margin of error) about the subject.
  • the output can be converted into events, such as a subject leaving their bed, and this provides a simple and efficient method of then determining whether to generate an output signal such as an alarm call, based upon the risk group to which the subject has been assigned.
  • the method further comprises accessing a predetermined time period for the selected category, for use by the algorithm, wherein the output signal is generated when, following detection of a predefined event, the predetermined time period has expired.
  • This step develops the event idea further, and means for example, that a subject in a first group of subjects (very infirm, for example) will have an alarm generated very soon after they leave their bed, or indeed before they have even left their bed, whereas a subject in a second group of subjects (physically fit, but suffering from dementia, for example) will have an alarm generated perhaps two minutes after they leave their bed. This ensures that the parameters can be expressed in simple terms of time periods, and can be easily adjusted by a technician if needed.
  • FIG. 1 Shown schematically (not to scale) in Fig. 1 is a system for monitoring one or more subjects in units 10.
  • a unit 10 can be anything that a person can rest on (preferably lying on with their entire body, and preferably not touching the ground with their feet), for example beds, couches, certain forms of seats to rest on etc.
  • the units 10 are shown as beds 10. Only four beds 10 are shown, but the system can be extended to cover a much larger number of beds 10, as desired.
  • the beds 10 could be located in a nursing home, where elderly subjects are cared for, who are physically and/or mentally infirm. In general, in such establishments, a number of carers/nurses will look after the subjects, where the number of carers is significantly less than the number of subjects. This is particularly true at night, where it is assumed that a lower demand will be placed on the nurses during this period.
  • each bed 10 is provided with a respective sensor 12.
  • This sensor 12 can be a pressure sensor 12, for example, which provides a reading in relation to the occupancy and position of the subject who uses the respective bed 10. It had been found that the best position for the sensor 12 is at a placement that would approximate to the chest position of the subject in the bed 10.
  • An alternative embodiment for the sensor 12 used in the bed departure detection can be a strain gauge.
  • Adhesive can be used to glue the strain gauge onto a slat of a slatted bed frame which is approximately located under the thorax of the subject. When the subject is in bed the slat is bent, i.e. becomes longer and this is a physical change that the strain gauge actually detects.
  • Each sensor 12 is connected via a network 14, which could be wired or wireless in a conventional fashion, to a monitoring station 16.
  • this monitoring station is shown as a conventional computer 16, but a dedicated unit 16 could also be provided to accomplish the same task.
  • the monitoring station 16 comprises a first device, being a display device 18, a processing device 20 and an input device 22, being (in this embodiment) a computer keyboard.
  • An alternative input device 22 could be a touchscreen, discussed below with reference to Fig. 3 .
  • Information from the sensors 12 is passed directly to the monitoring station 16 in real-time and processed there by the processing device 20. According to the processing performed by the monitoring station 16, then an alarm may be sounded to alert a carer that potentially a subject needs assistance.
  • the processing is carried out remotely at the monitoring station 16, but all of the processing could be carried out locally at the bed 10, with individual processing stations at each bed 10.
  • Fig. 2 shows at plots a) and d) the typical force pattern recorded with the sensor 12 when a person leaves their bed 10.
  • Plot b) shows the autocorrelation coefficient of the signal shown in a) and d).
  • Plot c) shows the variance of the signal shown in a) and d).
  • Plots a) and d) show the typical signal recorded by a strain gauge sensor 12 when a person is leaving their bed 10.
  • the parts of the signal indicated by the arrows 24 show the periods of time during which the nurses should help the elderly subject. In plot a) this is shown for a fall prone resident while in plot b) the alerting scheme for an agile person is depicted.
  • plot b) the autocorrelation coefficient of the signal is plotted.
  • a moving window of length L is used and in each window the autocorrelation coefficient (delay one data point) of the signal was computed.
  • plot c) the variance of the signal, also estimated in moving windows of size L is shown.
  • vital body signs can be used to increase the period in which the bed departure event can be predicted.
  • the nurses are notified at point 3) if an agile wanderer is monitored. At this point in time, the person has eventually left the bed such that the carers should be notified. Algorithmically, this means that the notification is sent if both the signal amplitude stays under a out fragile and if the autocorrelation coefficient is smaller than xcor out for more than ⁇ out wander seconds. Since in the case of agile persons no false alarms are more important than a very early notification of the nurses, a out agile ⁇ a out fragile and ⁇ out wander > ⁇ out fragile are used.
  • the nurses are presented with a plurality of categories, at the first device, being the display device 18, and the nurse will enter a user input for a subj ect, the user input selecting a category for the subj ect, at the user input device 22.
  • This categorisation of the subjects can be done at any time, and the category assigned to a subject can also be changed at any time, according to any perceived change in the condition of a subject.
  • the categories are designed to be based upon easily recognisable physical traits, so that a relatively low technically skilled member of staff can make the necessary selection.
  • the first device 18, as discussed above, can provide information to the nurses on the displays of pagers and phones. It is also possible that audible-only signals could be provided to the nurses. In this case, a loudspeaker will present the nurse with a set of categories, and a microphone with speech recognition software can be used by the nurse to input the selected category.
  • Fig. 3 illustrates a screenshot of a graphical user interface to the bed notification screen.
  • the display device 18 is showing a window 26 which allows a user such as a nurse or carer to make a selection regarding the group to which the specific subject belongs.
  • Three categories 28 are shown, being fall prone, agile and agile + dementia. These categories 28 are shown to illustrate the concept of the invention, more or fewer categories may be used, depending upon the specific monitoring situation.
  • the subject 30 is shown with their name and bed number and a photograph, in order to assist the nurse in the subject identification and selection. In this embodiment, the nurse simply has to click onto a category 28 in order to select a category 28 for the subject 30, at the user input device 22.
  • the input for selecting the category of the resident could be done automatically, for example using the output of another patient classification system (Patient Database of Hospitals or healthcare systems) as an input to the system.
  • Patient Database of Hospitals or healthcare systems Patient Database of Hospitals or healthcare systems
  • the system of Fig. 1 is monitoring each subject 30, for which a category 28 has been selected, with a respective sensor 12.
  • the processing device 20 executes an algorithm using the selected category 28 and the received output, and generates an output signal such as an alarm signal, according to the executed algorithm, at an output device.
  • This alarm signal can differ depending upon the nature of the movement detection and the category concerned. For example a fall prone subject leaving their bed 10 can be seen to be a more urgent situation than an agile + dementia subject who has not yet returned to their bed.
  • Fig. 4 shows an example of alternative embodiment of the monitoring station 16.
  • the station 16 is a purpose built unit that connects to the network 14.
  • the unit includes a touchscreen 32, which functions both as the display device and the input device for the presenting and input of information to and from the nurses and carers.
  • the monitoring station 16 is also equipped with dedicated output devices 34, being a warning light 34a and a loudspeaker 34b.
  • the output devices 34 together will provide an output signal, if the processing function of the station 16 indicates that a situation has arisen in relation to a specific subject. It is also possible to use paging systems which are connected to the alarming device 34, to notify nurses about the existence of an alarm signal. Further, it is possible to send the alerts to a cordless device (for example DECT telephones) that nurses commonly use.
  • a cordless device for example DECT telephones
  • the touchscreen 32 will display details of the specific subject 30 for whom the alarm has been generated, along with their name and bed location, as well as the category to which that subject 30 has earlier been assigned.
  • the carers can see immediately the group to which the subject 30 belongs, and can tailor their action accordingly. Any changes to the current status of the subject 30 can also be reflected by the touchscreen 32. For example, if the subject 30 returns to their bed 10, which results in the alarm for that subject 30 being cancelled, then this can be displayed to the carers, via the touchscreen 32.
  • Fig. 5 shows a sample flowchart of the preferred algorithm.
  • the parameters are set and the samples are read in.
  • the second column is related to the bed departure notifications while the third column handles the cancellation of them.
  • the execution of the algorithm in respect of the received output detects a predefined event.
  • the predefined event can comprise whether a subject has sat up in bed, whether a subject has left their bed or whether a subject has returned to their bed.
  • the algorithm is operated to access a predetermined time period for the selected category, present in the table of Fig. 6 , wherein the alarm signal is generated when, following detection of a predefined event, the predetermined time period has expired.
  • the sample algorithm shown in Fig. 5 , will notify the carers of situations when they should attend to a subject.
  • the carers will receive numerous notifications. It is advantageous to list the notifications generated by the algorithm in the following order. First the notifications of fall prone people are shown in chronological order as they need the assistance of the nurses most urgently. Then the notifications originating from the wanderers appear chronologically. Finally, the notifications of agile residents are shown in chronological order. The messages disappear from the list once the respective elderly subject has returned to their bed.

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  • Health & Medical Sciences (AREA)
  • Child & Adolescent Psychology (AREA)
  • General Health & Medical Sciences (AREA)
  • Business, Economics & Management (AREA)
  • Emergency Management (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Measuring And Recording Apparatus For Diagnosis (AREA)
  • Alarm Systems (AREA)
  • Accommodation For Nursing Or Treatment Tables (AREA)
EP08170465A 2008-12-02 2008-12-02 Surveillance de sujets Ceased EP2194515A1 (fr)

Priority Applications (1)

Application Number Priority Date Filing Date Title
EP08170465A EP2194515A1 (fr) 2008-12-02 2008-12-02 Surveillance de sujets

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
EP08170465A EP2194515A1 (fr) 2008-12-02 2008-12-02 Surveillance de sujets

Publications (1)

Publication Number Publication Date
EP2194515A1 true EP2194515A1 (fr) 2010-06-09

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EP08170465A Ceased EP2194515A1 (fr) 2008-12-02 2008-12-02 Surveillance de sujets

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EP (1) EP2194515A1 (fr)

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20070132597A1 (en) * 2005-12-09 2007-06-14 Valence Broadband, Inc. Methods and systems for monitoring patient support exiting and initiating response
WO2007090470A1 (fr) * 2006-02-10 2007-08-16 Hyintel Limited Systeme et procede de controle de la conformite a des normes d'hygiene
US20070288263A1 (en) * 2005-12-09 2007-12-13 Valence Broadband, Inc. Methods and systems for monitoring quality and performance at a healthcare facility
US20080033752A1 (en) * 2006-08-04 2008-02-07 Valence Broadband, Inc. Methods and systems for monitoring staff/patient contacts and ratios

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20070132597A1 (en) * 2005-12-09 2007-06-14 Valence Broadband, Inc. Methods and systems for monitoring patient support exiting and initiating response
US20070288263A1 (en) * 2005-12-09 2007-12-13 Valence Broadband, Inc. Methods and systems for monitoring quality and performance at a healthcare facility
WO2007090470A1 (fr) * 2006-02-10 2007-08-16 Hyintel Limited Systeme et procede de controle de la conformite a des normes d'hygiene
US20080033752A1 (en) * 2006-08-04 2008-02-07 Valence Broadband, Inc. Methods and systems for monitoring staff/patient contacts and ratios

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