JPH0428338A - Stress degree judging device - Google Patents

Abstract

PURPOSE:To judge the stress degree correctly and in multiphase form by using the item data as answer information for a plurality of question items related to stress and by judging the stress reaction type from the pattern. CONSTITUTION:Measurement of the item data is started by the starting sign supplied from a control input part 21, and an item display part 53 generates IXJ pieces of question items related to stress, and displays the items. The answer information is inputted by an item data input part 24 and taken into a representative value calculating means 2-32, and the representative value such as average value is calculated for each upper rank item, and memorized into a representative value file 34. Then, each representative value is taken into a judgement part 4, and the synthesized variable is calculated by a synthesized variable calculating means 44, and a judging means 46 carries out the level-assorted calculation of the representative value of each item data and synthesized variables by using the level standard value of a standard value file 2-452, and the judgement value is obtained, and the pattern prepared with the judgement value and each standard pattern of the standard pattern group in the standard value file 2-452 are compared and collated, and the stress item reaction type is judged. Then, a judgement result output part 47 displays the judgement result.

Description

[Detailed Description of the Invention] [Industrial Application Field] The present invention is applicable to medical fields such as psychiatry, neurological therapy, psychosomatic therapy, etc.
The present invention relates to a stress level determination device for measuring and evaluating a person's stress level and health level in stress, health, and sports related industries such as stress management.

[Conventional technology] Conventional methods for measuring and evaluating human stress and health include:
■Methods using questionnaires, ■Methods based on analysis of biochemical substances in blood and urine, ■Methods based on physiological indicators, etc. Among these, ■■ is an objective evaluation method, but ■ is not a non-invasive measurement method for blood, is not easy to measure, difficult to measure over time, and is stressful because it does not bother the subject. There were drawbacks such as being a burden. The physiological index (2) has the advantage of being non-invasive and relatively easy to measure over time. Conventionally, there has been a method for determining the stress level and health level based on the four menstrual finger votes, for example, Japanese Patent Application Laid-Open No. 1201230.
There is a "health management device" shown in the No. 1 publication.
Figure 7 shows its configuration. In the figure, (91) is a terminal device equipped with a measuring device (911) and a display unit (912), and (92) is a bivariate analysis means (922) that uses a data file (921) measured by the measuring device (911,).
) for determining the health level (923)
This is a determination unit equipped with.

Next, the operation will be explained.

A pair of measurement data, such as blood pressure and electrocardiogram, which serve as indicators of health level, are measured by a measuring device (911) of a terminal device (91), and are stored in a data file (921) in a judgment unit (92) connected thereto. is stored as. The determination unit (92) uses this pair of measurement data files (921)
Based on the above, the average value, standard deviation, etc. of each are determined, and a correlation coefficient is determined by a bivariate analysis means (922) that roughly calculates a correlation coefficient. Bivariate analysis means (922)
The correlation coefficient etc. obtained in the determination means (923)
The level of health is determined by comparing the level with the set value and displayed on the display section (912) of the terminal device (91) to the person to be measured.

In addition, as another conventional example, there is an ``evoked potential measuring device j'' disclosed in Japanese Patent Application Laid-Open No. 2-1233, which measures and evaluates subjective data such as stress levels such as fatigue in addition to physiological indicators. Figure 18 is its configuration diagram. In the figure, (951) is a character string presentation unit that presents test items such as character strings, (952) is a character string data storage unit that stores this, and (953) is this presentation control. A string presentation control unit that performs
(961) is the evoked potential measuring unit that measures the evoked potential of the brain wave, (962) is the evoked potential recording unit that records this, (,9
63) is an evoked potential recording control unit that controls the recording, (9
64) is an evoked potential analysis unit that analyzes the recorded evoked potential, and (965) is an evoked potential measurement procedure control unit that controls the measurement procedure. (971) is a subjective multiple input unit that inputs subjective quantities for the presented characters, (972) is a subjective quantity data collection unit that collects this, (973) is a subjective quantity data analysis unit that further analyzes this, (974) ) is an objective/subjective quantity relationship analysis unit that analyzes the relationship between objective quantities and subjective data based on the analyzed evoked potentials.

Next, the operation will be explained.

First, the evoked potential is measured by the evoked potential measurement procedure control unit (965), and the character string presentation control unit (953) presents the character string data in the character string data storage unit (952) to the character string presentation unit (951). , an evoked potential is measured from the subject by the evoked potential measuring unit (961), and is transmitted to the evoked potential recording unit (962) via the evoked potential recording control unit (963). This is recorded for a certain period of time, and signal processing such as addition is performed by the evoked potential analysis unit (96U I) to obtain objective quantities such as amplitude and latency. It is input from the subjective quantity input unit (971), collected by the subjective quantity data collection unit (972), and then processed by the subjective quantity data analysis unit (971).
73), and furthermore, the correlation coefficient with the objective quantity obtained from the evoked potential is analyzed by the objective quantity/subjective quantity relationship analysis department (97
4) Calculated as follows.

[Problems to be Solved by the Invention] As described in ``2'', conventional devices for determining stress levels and health levels using physiological indicators often use a single indicator and simply display the results of its magnitude. , these are from the perspective of individual differences in physiological indicators, and the indicators that reflect stress and health levels often differ depending on the person, such as those whose heart beats quickly and those whose blood pressure is easy to detect. There was a high risk of underestimating or overestimating health. In addition, many of the devices that use multiple indicators simply display the results of each indicator in parallel, and although this can somewhat prevent the error of "-", it is no different from a simple display device. Furthermore, even in the conventional example mentioned above, the judgment algorithm is simple, such as simply looking at the correlation between a pair of measurement data, and the final judgment result is left to the person being measured or the person measuring it. There were many problems, such as the fact that many things were left to the public, and the measurement conditions were unclear. However, when using physiological indicators to evaluate stress and health, characteristics such as individual differences and background mechanisms need to be taken into consideration.

Furthermore, in addition to physiological indicators, other conventional stress and health level determination devices that handle response information to questions related to stress simply measure subjective data and examine relationships such as correlation with physiological indicators. However, there was no method that evaluated response patterns together with physiological indicators to determine stress levels.

This invention was made to solve the above-mentioned problems. (1) First, multiple physiological indicators that reflect the stress level are used as materials for determining the stress level, and the stress physiological response type is determined from the pattern. The first object of the present invention is to provide a stress level determination device that accurately determines the stress level from a more multifaceted perspective, taking into consideration the issue of individual differences when using physiological indicators for evaluation.

(2) Furthermore, by using item data, which is the answer information recorded in multiple stress-related question items, as a material for determining the stress level, and determining the stress item response type from the pattern, it is possible to more accurately and multidimensionally determine the stress level. A second object is to obtain a stress level determination device that determines stress level.

(3) Furthermore, by using multiple physiological indicators and item data as materials for determining the stress level, and determining the overall stress reaction type from the pattern of both, the stress level can be determined more multidimensionally and accurately. The third purpose is to obtain a degree determination device.

(4) Furthermore, in addition to the purposes 1 to 3 above, for the representative value of each measurement data, further consider the attributes such as the age and gender of the subject to calculate the individual score for that attribute group. A fourth purpose is to obtain a stress level determining device that can perform more reliable evaluations such as determining types from the patterns.

(5) In addition to the objectives 1 to 3 above, clarify the measurement conditions and present tasks to measure data in a steady state such as at rest and under stress, and the response of the subject to be measured to the task. When calculating the representative value of individual measurement data, it is possible to input data not only in steady state but also under stress,
A fifth object is to obtain a stress level determination device that can also evaluate reactivity to stress loads.

[Means for Solving the Problems] A stress level determining device according to the present invention (hereinafter referred to as the first invention) includes a physiological index measuring means for measuring a plurality of physiological indexes reflecting a stress level, A representative value determining means for determining the representative value of each physiological index data, a standard pattern group for stress physiological reaction type determination, and a standard pattern group for stress physiological reaction type determination, which compares and matches the patterns created from the above representative values with each standard pattern of the reference pattern group. The apparatus is equipped with a determination means for determining the item response type, an output means for outputting the determination result, and a control means for controlling these operations.

Further, a stress level determination device according to another invention of the present invention (
(hereinafter referred to as the second invention) comprises an item presenting means for presenting a plurality of question items regarding stress, an item data input means for inputting each answer information to the above question items, and a representative value of each of the input item data. means for determining a representative value to be obtained; a group of reference patterns for determining stress item response patterns; a determining means for determining a stress item response type by comparing and comparing a pattern created from each of the representative values with each reference pattern of the reference pattern group; The apparatus is equipped with an output means for outputting a determination result, and a control means for controlling these operations.

Further, a stress level determination device according to still another invention of the present invention (hereinafter referred to as the third invention) includes a physiological index measuring means for measuring a plurality of physiological indicators reflecting the stress level, and a plurality of question items regarding stress. Item presentation means for presenting information on the above-mentioned questions, Item data input means for inputting each answer information to the above-mentioned question items, Representative value determination means 1 for obtaining representative values of each measured physiological index data, Each representative value of input item data representative value determining means 2 for determining the stress comprehensive reaction type, a group of reference patterns for determining the stress comprehensive reaction type, and a judgment for determining the stress comprehensive reaction type by comparing and collating the patterns created from the respective representative values with each reference pattern of the standard pattern group. The apparatus is equipped with means, an output means for outputting a determination result, and a control means for controlling these operations.

In addition, for each of the above-mentioned stress level determination devices, an attribute input means for inputting attribute information of the subject to be measured, and an individual score calculation means for calculating standard values prepared in advance for each attribute and scores of individuals in the group. It is preferable to set a score for each representative value in consideration of the attributes of the person to be measured, obtain an individual score, and use a pattern created based on this score to determine the type (hereinafter referred to as the fourth method). (described as an invention).

In addition, for each of the above-mentioned stress level determination devices, a task presentation means for presenting a stress task, a reaction input means for inputting a response to the stress task, and change data from a steady state to a stress state as a response to a stress load. A reactivity calculation means is provided to calculate the measured data during steady state and stress.
It is preferable to calculate three types of representative values of the and reactivity, and to perform type determination using a pattern created from these representative values (hereinafter referred to as the 5th q') invention).

[Function] In the stress level determination device according to the present invention, the stress level determination device according to the first invention measures not a single index but a plurality of physiological indexes, captures this as a reaction pattern,
The stress level is determined as a type of physiological response pattern by comparing it with a reference pattern, so individual differences that are a problem when using physiological indicators to evaluate stress levels and health levels, such as indicators that have a high load effect during stress loads, are This makes it possible to perform evaluations that fully take into account characteristics that often differ from person to person. Furthermore, it is possible to understand the physiological response to stress from a more multifaceted perspective, making it possible to evaluate stress more reliably than before.

Further, the stress level determination device according to the second invention measures item data that is response information to a plurality of question items related to stress, captures this as a reaction pattern, and determines the stress level as a type of stress item reaction pattern. By making a determination as follows, a more multifaceted and accurate determination can be made based only on item data.

Furthermore, the stress level determining device according to the third invention uses a plurality of physiological indicators and a plurality of item data as materials for determining the stress level to determine the stress level. In addition to the above effects, it is possible to determine the overall stress reaction type by considering the stress physiological reaction type and the stress item reaction type, making it possible to understand stress from a more multifaceted perspective and making it possible to evaluate stress with higher reliability than before. .

Moreover, the stress level determination device according to the fourth invention includes the first to
In addition to the effects of the third invention, standard values determined in advance for each attribute group are used in accordance with the attributes of the person to be measured to perform scoring. It is more appropriate to score the representative values of individual measurement data and also to reflect the individual's position in the group! 4- Evaluation value can be obtained. For example, measurement data such as blood pressure may reflect aging, gender differences, etc., so these factors need to be taken into consideration. The fourth invention performs scoring based on this and determines the type based on the individual score pattern, so that more reliable evaluation can be performed.

Moreover, the stress level determination device according to the fifth invention includes the first to
In addition to the functions of the third invention, it is equipped with a function to present steady state tasks and stress tasks, and a function to input responses to these tasks, and can measure data not only in the resting state and steady state, but also during stress task loading. The change value from the steady state to the stress state is calculated as the reactivity to the load. Since reactivity is determined by the relationship between both the steady state and the stress load, it is necessary to perform an evaluation based on the change from the steady state to the stress load, but the fifth invention takes these into account,
By clarifying the measurement conditions and calculating three types of representative values: steady state, stress, and reactivity, more reliable representative values can be obtained.

[Example] Examples of the present invention will be described below.

In the first invention, a plurality of physiological indicators are measured, and in the measurement of the plurality of physiological indicators, electroencephalogram alpha band power is used as an indicator that reflects the central system, frontal costal electromyography is used as an indicator that reflects the skeletal musculature, An example in which fingertip skin temperature is used as an index reflecting the autonomic system will be described.

The reason for using indicators that represent these three systems is that!・Based on our research results in evaluating the degree of response. In other words, six factors were obtained from the factor analysis of the multidimensional physiological index of approximately 70 healthy adult men and women at rest and during stressful mental arithmetic tasks, and the factor structure was stable even when remeasured approximately 3 weeks later. Obtained by doing. Table 1 shows the factor analysis results for the first measurement. In Table 1, the upper row shows data at rest, and the lower row shows change data from rest to task load, and the difference or ratio between rest and load is taken. From Table 1, the multidimensional physiological index under stress can be determined by combining resting state data (upper row) and change data (lower row).■ EEG α-band power that reflects the central system.■ EEG that reflects the central system. Frequency ■ Frontal electromyography that reflects the skeletal muscle system ■ Skin temperature and pulse wave height that reflect the autonomic system, especially the sympathetic system that is activated during stress ■ Activity of the autonomic system, especially the parasympathetic system (inhibitory during stress)
Pulse wave interval fluctuations reflecting the autonomous system can be evaluated from six factors (please note that
correspond to ■ to ■ in Table 1). Among these, ■■ is the central system,
■ reflects the skeletal muscular system, ■■■ reflects the autonomic system,
This indicates that factors reflecting at least the central system, skeletal muscle system, and autonomic system are independent, and that it is possible to classify stress tasks by selecting an index set that reflects these three systems.

Furthermore, in the second and third inventions, responses to stress-related questions are treated as measurement data, but subjective evaluations based on response data to stress-related questions are based on physiological reactions that occur during times of stress. It is important as a factor that influences behavior. In our research results, 15 independent factors were extracted as a result of factor analysis of response data to multiple question items. The results are shown in Table 2. This shows that by measuring responses to question items that reflect at least these factors, it is possible to quantitatively evaluate and classify stress levels based on the patterns. Further, by adding the stress-related question item response pattern to the plurality of physiological indicators described above as materials for determining the stress level, it is expected that a more appropriate stress level determination can be made. In Table 2, 15 factors are extracted, and in the example, an example will be described in which one lower-order item (IXJ items) reflecting one higher-order item is used as a question item.

FIG. 1 is a block diagram showing a stress level determination device according to an embodiment of the present invention, which is obtained by adding the fourth and fifth inventions to the first invention. FIG. 2 is another embodiment, which is a configuration diagram in which the fourth and fifth inventions are added to the second invention, and FIG. 3 is still another embodiment, in which the fourth and fifth inventions are added to the third invention. It is a block diagram with an invention added. In these figures, the essential constituent elements in the first to third inventions are indicated by double-covered lines, the structure according to the fourth invention is indicated by dotted lines, and the structure according to the fifth invention is indicated by dashed lines.
Other components are shown in the figure with solid lines.

First, the first invention and the case where the fourth and fifth inventions are added thereto will be explained.

In FIG. 1, (1) is a physiological index measurement unit that measures a plurality of physiological indicators; (2) is an input unit; (3) is a representative value determination unit that calculates a representative value such as an average value from each measurement data;
(4) is a judgment unit that compares and matches a pattern created from representative values with a reference pattern to determine the stress level and outputs the judgment result; (5) is an output unit that displays the judgment result; (6)
) is the control section.

The configuration of each part will be explained below.

In the physiological index measuring section (1), (11) is a sensor group that detects multiple physiological reactions, and (12) is configured using an amplifier, a feature extraction filter, an integrator, etc. , from physiological responses such as electromyogram and skin temperature,
Each is a biosignal processing unit that extracts physiological index data according to the purpose, such as α band power, myoelectric potential integral 11α, and temperature.

Further, in the input section (2), (21) is a control input section that sends a signal to start measurement, etc. to the control section (6). Furthermore, (22) is an attribute input unit for inputting attribute information such as age and gender of the subject in the fourth invention; (23)
is a reaction input unit for inputting a response to a task in the fifth invention.

Further, in the representative value determination unit (3), (31) is a representative value calculation means 1 for calculating representative values such as average values from each physiological index data, and (34) is a representative value file for recording the obtained representative values. be. Furthermore, (33) is the change data (difference or ratio between rest and stress) in the fifth invention.
This is a reactivity calculation means for determining the .

Further, in the determination unit (4), (44) is a composite variable calculating means for calculating a composite variable from a plurality of representative values and compressing the data, and (451) is a reference value and a standard for stress physiological reaction type determination for the level. The reference value file 1 (46) that stores the pattern group calculates the levels of each representative value and composite variable from the level reference value of the reference value file I (451), and calculates the level-divided judgment value. Roughly, the pattern created by the judgment value and the reference value file 1 (451)
(47) is a determination result output unit that outputs this determination result; (48) is a determination result that stores the determination result; file, (41) is an ID code consisting of the attribute information of the subject to be measured inputted from the attribute input section (22) and a search code, (42) is a standard value determined in advance for each attribute such as age and gender. Standard value file that stores, (43) is ID code (4+)
*These (4-1), (42), and (43) are added by the personal score calculation means that calculates the individual score from the individual representative values created by the representative value determination section based on the standard value searched using *. , constitutes the fourth invention.

Further, in the output section (5), (51) is a display section that displays messages indicating the start and end of the measurement and judgment results from the judgment result output section. Furthermore, (52) is a task presentation unit that presents a task in the fifth invention.

Furthermore, the control unit (6) starts and ends signal processing in the physiological index measuring unit (1), measures physiological index data, and controls the input unit (2).
), calculations and file creation in the representative value determination unit (3), calculations and file input/output in the judgment unit (4), display of judgment results in the output unit (5), stress task presentation, question item presentation etc., to control these operations.

Next, the operation in the first invention will be explained with reference to FIG.

The control section (6) in FIG.
), and a start signal from the control input section (21) of the input section (2), for example, a reaction key, starts processing in the physiological index measuring section (1) and measures the physiological index data. . That is, the biological signal processing unit (12) extracts target physiological index data for a plurality of physiological reactions detected by the sensor group (11), such as electroencephalogram, electromyogram, and skin temperature. Next, the extracted physiological index data is processed by the representative value calculation means 1 (
31) for a certain period of time, and after calculating outliers such as removing outliers and noise, a representative value, such as an average value, is determined. After the above is repeated once (times (k≧1)),
The representative value of each index (MXk times; where M is the number of indexes, here 3) is stored in a representative value file (34). Next, under the control of the control section (6), each representative value data is taken into the determination section (4), and a composite variable is calculated by the composite variable calculation means (44) according to the purpose. This targets data of two or more variables, such as finding the average value of electromyograms of multiple parts to find the overall muscle tone, and is used for information compression. Next, the determination means (46) determines the reference value file 1.
Using the level standard value of (45+), calculate the level of each representative value and composite variable to obtain the judgment value, and the pattern created by the judgment value and each standard of the standard pattern group of standard value file l (45+) The stress physiological response type is determined by comparing and matching the patterns. That is, the determining means (46)
! Here, the $ value is extracted based on the level from the standard value file 1 (45+), and based on this, the magnitude is compared with each representative value, and the level is divided into p levels. A judgment value is obtained. The judgment value is, for example, = 3,
, M, H (7) If it is a three-step point, its coat can be found.

Furthermore, from the standard value file 1 (451), each standard pattern of the standard pattern group for stress physiological reaction type judgment is extracted, and the pattern created by the determined judgment value is compared with each standard pattern, and if it matches the standard pattern, it is The corresponding type is extracted and, for example, if the pattern is LL L, the type is determined as stress physiological reaction type A. Next, under the control of the control unit (6), the determination result output unit (47) outputs the determination value and type determination result to the output unit (5).
), such as a printer or CRT display, and a message corresponding to the determined type is displayed to the person to be measured. Furthermore, these results are stored in a determination result file (48).

The above is one sequence, and after one measurement is performed,
A measurement completion message is displayed on the display section (5) via the control section (6).
1), and the measurement is terminated by a termination signal from the control input section (21) of the subject.

In FIG. 1, by adding the configuration roughly indicated by dotted lines, the fourth invention is obtained. That is,
Prior to the measurement of physiological index data, search codes such as attribute information such as the age and gender of the subject to be measured and file input/output are input from the attribute input section (22) of the input section (2), for example, from a keyboard, and the determination section (4) ID code (41) -
When stored.

Furthermore, prior to calculating the judgment value in the judgment unit (4), the ID code (4■) and the standard value file (42) are used to correspond to the attributes of the subject in the personal score calculation means (43). An individual score indicating the individual's relative position in the group is calculated. That is, first, each representative value determined by the representative value determination section (3) is taken into the individual score calculation means (43).

In addition, I
A standard value corresponding to the attribute of the person to be measured is searched using the D code (41). The individual score calculating means (43) performs scoring using these representative values and standard values, and obtains an individual score. Furthermore, from the newly obtained representative value, ID
The corresponding standard value is updated using the code (41).

For scoring, for example, assuming that the standard value is composed of an average value and a standard deviation, the following individual score calculation is performed. That is, in the individual score calculation means (43), based on the standard value average μ and the standard value standard deviation σ, the individual score D=SD (representative value − standard value average μ)/standard value standard deviation σ0Mean Individual scores are calculated. However, SD is the standard deviation of individual scores, Mean is the average individual score, and SD = IO5M
ean=50, 2 points, SD=14, Mean=5
0 gives r] score. If the former is a normal distribution, it is 20.
~80, and the latter is between 8 and 92 with 99.74% (±
35D) data is included. Furthermore, when a significantly different individual score is obtained (for example, when exceeding ±3 SD or more), it is preferable to set a predetermined upper limit or lower limit.

The standard value data that constitutes the standard value file (42) used for scoring is divided into groups (1
I need the average and standard deviation of the data for one person), but
It is better to have it in the form of the sum of data of n, n people and the sum of squares (n, ΣX1, ΣXI2, where n is the number of people, Xl
is representative value data for each person making up the group). That is, after extraction from the standard value file (42), μ: standard value average = ΣXi/.

σ: Standard value Standard deviation = ((ΣXi2/n) - (ΣXi/
n)") and 2.

In addition, when updating the standard value, simply update each n+1, ΣX
i + X i +1, ΣX i2+X i+12 (
X i+1 may be a newly obtained representative value).

Further, the type determination by the determining means (46) is performed on the individual score pattern.

Roughly speaking, by adding the configuration shown by the - dotted chain line in FIG. 1, the fifth invention can be obtained. That is, when measuring physiological index data, first, resting state data is measured as a steady state. In response to a start signal from the control input unit (21), a rest task is presented via the control unit (6) to the task presentation unit (52), for example, a CRT display, and the processing in the physiological index measurement unit (1) is started. Physiological index data is extracted and taken into the representative value calculation means 1 (3+) of the representative value determination unit (3), and after calculating outliers, a resting state representative value is determined as a steady state representative value. Next, data during the stress task is measured. Similarly, the control input unit (21) presents a stress task to the task presentation unit (52) via the control f & 11 unit (6), and starts processing in the physiological index measurement unit (1). Data is extracted and taken into the representative value calculating means 1 (31), and after calculating outliers, a representative value during stress is determined. In addition, during the stress task, the response of the subject to be measured to the task is inputted from the response section (23) of the input section (2). In addition to mental arithmetic tasks, stress tasks include error detection, letter cancellation (detecting a specific letter such as e), S I/Loop task M (presenting colored letters), reaction time tasks, and quiz tasks. It will be done. Next, from the steady state and stress data, we calculate the typical reactivity value, for example, the difference between stress and rest.
Or the change data with ratio is the reactivity calculation means (33)
It is calculated by

After ``2 is repeated 1 (around 1 (≧1)), M index ×
1 (times x 3 types of representative value data (steady state representative value, stress representative value, reactivity representative value) are stored in the representative value file (3
/l). Judgment means (46) of judgment unit (4)
For type determination, reference patterns (steady state pattern, stress pattern, and reactivity pattern) corresponding to each of the three types of representative value patterns are extracted from the reference pattern group and compared.
! a, and the type for each of the three types and the combined type of these are determined.

The flowchart of the operation according to the first invention is shown in Figure 4 (a).
) (l] ) (c) The flowchart of the operation when the fourth invention is added is shown in FIG. 5, and the flowchart of the operation when the fifth invention is added is shown in FIG. 6(a) ( FIG. 7 shows a flowchart of the operation when the fourth and fifth inventions are added to h).

That is, in step (71), it is checked whether the representative value of the physiological index has been calculated, and if it has been calculated, then step (710)
), and the representative value is calculated in step (72).

In step (73), it is determined whether or not measurement is possible. If the measurement is successful, a representative value file is created in step (74).

If the measurement cannot be completed, for example, if there are many outliers due to noise contamination due to the body movement of the person to be measured, the measurement is performed again. If the representative value of the physiological index has been calculated in step (7I), the representative value is read in step (80). Step (8
9) Check the end of the judgment. If the judgment is not completed,
In step (83), the composite variable is calculated, if necessary, it is calculated in step (84), and in step (85), the level-divided judgment value is determined and a pattern is created. In step (86), a comparison with a reference pattern is performed to determine the type. While filing the judgment results at Ste Nbu (87),
Past data is also retrieved, and the determination result is displayed together with the past data in step (88). In FIG. 5, attribute information is input in step (7o), and hereinafter, the same reference numerals perform the same operations as in FIG. 4. 'In step (81), a standard value corresponding to the attribute is searched and set, and in step (82), a score is calculated based on this standard value and a representative value. In addition, in the figure, A, a, and BS b are
Each shows the same operation as in FIGS. 4(b) and 4(c). Further, step (711) in FIG. 6(b) indicates measurement of a physiological index in a resting state as a steady state, and step (72+,) indicates calculation of a physiological index representative value in a resting state. Also, step (
712) indicates measurement of physiological index during stress, and step (722) indicates calculation of representative value of physiological index during stress. Step (723) calculates the physiological index reactivity representative value. Furthermore, in FIG. 7, C and c show the same operation as in FIG. 6(b).

Next, the second invention and the case where the fourth and fifth inventions are added to this will be explained.

In FIG. 2, the second invention is comprised of an input section (2), a representative value determination section (3), a determination section (4), an output section (5), and a control section (6). Furthermore, in the input section (2), in addition to the control input section (21) in the first invention, (2
4) is an item data input section for inputting item data that is answer information to a plurality of question items regarding stress. In addition to the representative value file (34) in the first invention, in the representative value determination unit (3), (32) is also provided with a representative value calculation means 2 for calculating representative values such as average values for higher-order items from each item data. It is. In addition, in the determination section (4), in addition to the composite variable calculation means (44), determination means (46), determination result output section (47), and determination result file (48) in the first invention, (452) is a level This is a reference value file 2 that stores reference values and a group of reference patterns for stress item reaction type determination. Furthermore, in the output section (5), in addition to the display section (51) in the first invention, (53)
is an item presentation unit that presents a plurality of question items related to stress. Furthermore, similar to the first invention, the fourth invention includes an attribute input section (22), an ID code (
41), standard value file (42), personal score calculation means (
43) is added, and furthermore, a reaction input section (23), a reactivity calculation means (33), and a task presentation section (52) are added to the fifth invention.

Next, the control section (6) in FIG. 2, which explains the operation in the second invention, displays a signal to start measurement on the display section (51), and starts reading the item data by the start signal from the control input section (21). Start measurement. The item presentation unit (53) generates and presents a plurality of question items (XJ questions, where ① is the number of higher order items and J is the number of lower order items) regarding stress under the control of the control unit (6). The answer information to the question items from the subject to be measured is sent to the item data input section (24) of the input section (2).
) and is roughly taken into the representative value calculation means 2 (32), and after calculating outliers such as checking for input errors and omissions, a representative value such as an average value is calculated for each high-level item, and the representative value is It is stored in the file (34).

Next, each representative value is taken into the determination section (4), and a composite variable is calculated by the composite variable calculation means (44) depending on the purpose. Furthermore, the determination means (46) includes a reference value file 2.
Using the level reference value of (452), the representative value of each item data and the level of the composite variable are calculated to obtain the judgment value, and the pattern created by the judgment value and the reference value file 2 (45
2) Compare and match each standard pattern of the standard pattern group to determine the stress item reaction type from the pattern created by the item data.

Next, the determination result is outputted from the determination result output section (47), displayed on the display section (51), and stored in the determination result file (48). The above is one sequence, and one measurement is completed.

In FIG. 2, the configuration indicated by the dotted line is further added,
As in the case of the first invention,
An individual score of item data according to attribute information of the person to be measured is calculated (fourth invention).

Prior to measuring item data, input the attribute input section (2) of the input section (2).
Attribute information and search code of the subject to be measured are inputted from 22), stored in the ID coat (113), and roughly stored in the ID coat (113) prior to judgment value calculation in the judgment unit (4).
(/II) and the standard value file (42), the personal score calculation means (43) calculates the personal score of the item data, and type determination is performed on this personal score pattern.

Furthermore, in FIG. 2, by adding the configuration shown by the - dotted chain line, in addition to the item data, item data in a temporary state under specific conditions such as during a task can be obtained. First, the item data is measured as described above, the item data representative values are obtained, and the representative value file (34
).

Next, state item data in a steady state is collected, a resting task is presented to the task presentation section (52) by a start signal from the control input section (21), and a resting task is presented to the task presentation section (52).
), the question items are then presented, the answer information is input from the item data input section (21), and the representative value calculation means (3
2), and the representative value at rest is determined as a steady state. Next, #λ state item data during the stress task is collected, the stress task is similarly presented to the task presentation unit (52), the question items are presented to the item presentation unit (53), and the answer information is Input from the data input section (21),
The representative value during stress is determined. Next, a typical reactivity value is calculated from the obtained steady state and stress state item data, and after repeating the following two times, it is stored in the representative value file (34). ) Type determination is performed by adding the typical value pattern of the item data, the pattern ζ of steady state, stress, and non-reactivity, and the overall pattern t of these.

The flowchart of the operation according to the second invention is shown in FIG. 8(a).
Figure 9 shows the flowchart of the operation when the fourth invention is added to (r)), and Figure 0 (a) (11) shows the flowchart of the operation when the fifth invention is added. , the flowchart of the operation when the 4-1 and 5th inventions are added is shown in FIG.
This is shown.

That is, in step (75), it is checked whether the representative value of the item data has been calculated, and if it has not been calculated, step (75) is performed.
0), and the item representative value is calculated in step (76). Hereinafter, the same reference numerals perform the same operations as in FIGS. 4 to 7. Note that step (77) checks whether the representative value of the status item data has been calculated, and if it has not yet been calculated,
Go to step (751), calculate the representative value of the item at rest in step (761), and then proceed to step (752).
At (762), the representative value of the item during stress is calculated. Further, in step ('763), a representative value of item reactivity is calculated. In each figure, ■), d5, E, and e indicate the same operations as in FIG. 8 (11) and FIG. 10 (b), respectively.

Next, the third invention and the case where the fourth and fifth inventions are added thereto will be explained.

In FIG. 3, the third invention includes a physiological index measuring section (1)
, input section (2), representative value determination section (3), determination section (4),
Consists of an output section (5), a control section (6), and a first
, and similar to the second invention, the physiological index measuring section (1) includes a sensor group (11), a biological signal processing section (12), and an input section (2).
are the control input section (21), the item data input section (24), and the representative value determination section (3) from the representative value calculation means 1 (3]), the representative value calculation means 2 (32), and the representative value file (34). The determination unit (4) includes a composite variable calculation means (44),
Judgment means (46), judgment result output section (47), judgment result file (48), output section (5), display section (51)
, an item presentation section (53), and a judgment section (4).
In (453) is a reference value file 3 that stores reference values and a group of reference patterns for stress comprehensive reaction type determination. Furthermore, similar to the first and second inventions, the fourth invention also includes an attribute input section (22), D
Two 1' (4+), a standard value file (42), and an individual score calculation means (43) are added, and for the fifth invention, a reaction input section (23), a reactivity calculation means (33),
A task presentation section (52) is added.

Next, the operation in the third invention will be explained.

Similar to the first invention, physiological index data is first measured.

A signal to start measurement is displayed on the display section (51), and processing of the physiological index measuring section (1) is started from the signal from the control input section (21), physiological index data is measured, and the representative value calculation means 1
(3)), the representative values of each physiological index are obtained, and the above is l
(After repeated times, it is stored in the representative value file (34).Next, item data measurement is performed as in the second invention.Measurement of item data is started by a signal from the control input unit (21). The question items are presented to the item presentation unit (53), and the answer information is input from the item data input unit (24), the item representative value is calculated by the representative value calculation means 2 (32), and the representative value file is saved. (34).Next, each representative value is taken into the determination unit (4), and after calculating a composite variable for the purpose, the determination means (46) stores the physiological index and item data together. Using the level standard values in the standard value file 3 (453), calculate the levels of each representative value and composite variable to obtain the judgment value, and roughly calculate the pattern created by the judgment value based on the physiological index and item data and the standard value. File 3
(453) was compared with each reference pattern in the reference pattern group, and not only the stress physiological reaction type and item reaction type, but also the physiological index and item data were used as judgment materials, and the combined pattern was used as judgment material for stress stress. A comprehensive reaction type judgment is performed and these judgment results are sent to the judgment result output section (47).
The result is output to the display section (51) and the determination result file (48). The above is one sequence, and one measurement is completed.

In FIG. 3, by adding the configuration roughly indicated by the dotted line, the ID code (41) and the standard value file (42) are created as in the first and second inventions.
Physiological index according to the attribute information of the subject,
and the individual score of the item data representative value is calculated by the individual score calculation means (
43) (fourth invention).

Furthermore, in FIG. 3, by adding the configuration shown by the dashed-dotted line, it is possible to calculate the steady state, stress, and reactivity representative values in the typical value calculation, as in the first and second inventions. is required. First, steady state data is collected.

A resting task is presented to the task presenting section (51) in response to a signal from the control input section (21), physiological index data is measured in the physiological index measuring section (1), and physiological index data is measured by the representative value calculation means l(:N). A representative value at rest is determined as a steady-state representative value of the index data. After the rest task is completed, the question items are presented to the item presentation section (52), and the answer information is input to the item data input section (24).
The representative value calculating means 2 (32) calculates the resting state representative value of the state item data. Next, data during the stress task is collected. Similarly, the control input section (21
), a stress task is presented to the task presenting section (51), a response to the task is inputted from the reaction input section (23), a physiological index is measured in the physiological index measuring section (1), and the stress task of the physiological index is inputted from the reaction input section (23). The time representative value is determined. After the task is completed, the question items are presented to the item presentation section (52), the answer information is input from the item data input section (24), and the stress representative value of the state item data is determined. Next, representative reactivity values are calculated for physiological indicators and status item data,
After the above steps are repeated once, the physiological index representative values and the status item representative values are stored in the representative value file (34).

Next, as in the second invention, item data measurement is performed, item representative values are determined, and stored in a representative value file (34). Roughly speaking, the type determination in the determination unit (4) is based on the physiological index and state item data: constant state, dense state, stress state,
This is performed for each reactivity pattern, item data representative value pattern, and their overall pattern.

As described above, the flowchart of the operation according to the third invention is shown in FIG. 12, the flowchart of the operation when the fourth invention is added is shown in FIG. 13, and the flowchart of the operation when the fifth invention is added is shown in FIG. 14
FIG. 15 shows a flowchart of the operation when the fourth and fifth inventions are added to FIGS.

In step (78), it is checked whether representative values of the physiological index and status item data have been calculated.

Further, in FIG. 15, F and F indicate the same operation as in FIG. 14 (1).

Furthermore, FIG. 16 shows physiological index data judgment values and physiological reaction type judgment results as output result examples obtained by adding the fourth and fifth inventions to the first invention, and the fourth and fifth inventions to the second invention.
Item data judgment value and item reaction type judgment result as an output result example with the invention added, and physiological index and item data judgment value as an output result example with the fourth and fifth inventions added to the third invention , and the overall type determination results. FIG. 16(a) shows the determination value, when it is divided into levels such as M, H, etc., and FIG. 16(b) shows the case where the determination value is displayed in analog form.

In the above embodiment, the physiological indexes measured by the physiological index measurement unit (1) include brain wave alpha band power that reflects the central system, frontalis muscle electromyogram that reflects the skeletal muscle system, and skin temperature that reflects the autonomic system. Although the case where three of these are detected has been described, other things that reflect the central system may be the frequency of brain waves, or a combination of power and frequency, or a plurality of parts may be detected. In addition to the feature extraction filter (α band extraction filter), FF
The in-band power spectrum may be calculated by performing T (fast Fourier transform) calculation. Regarding the frequency, we can calculate the power spectrum by using a substitute value by multiplying the center frequency of each filter by the output ratio of multiple feature extraction filters that further divide the α band in parallel, or by performing FFT calculation. ,
The peak and center of gravity frequencies may also be determined. Regarding the skeletal muscle system, electromyograms of multiple sites (in addition to the frontalis muscle, the shoulder, forearm, etc.) may be used. In the autonomic system, in addition to skin temperature, pulse rate, pulse wave height, pulse (heartbeat) interval fluctuation, skin potential activity, blood pressure,
Respiration etc. may be considered, and a plurality of these may be detected in combination. Also, when multiple indicators are obtained from a single response, such as an electrocardiogram (heart rate, heart rate variability, T wave height)
may be composed of one sensor and a plurality of biological signal processing units (12).

In addition, in the example described in "-", when measuring question item data, an example was explained in which the question items were composed of a plurality of -E-ranked items and a plurality of lower-order items that constitute them, but it may be simply a plurality of items. Further, the number of lower-order items forming each rank item may not be equal. Further, when the fifth invention is added, an example in which measurement is performed together with status item data has been described, but only status item data may be measured.

In addition, the attribute information of the subject used in the fourth invention includes the ID code (4) along with the name and its abbreviation code.
As shown in 3), the data is stored and used for standard value searches, file creation, etc. However, if measurements are to be made multiple times, an attribute information file may be created and searched using the D code (43). . Attribute information includes age, gender, height,
Possible physiological data such as weight, body fat mass, blood sugar level, amount of exercise, position, working hours, etc.

Further, representative value calculation means (31) of the representative value determining section (3)
For outlier calculation of physiological index data, maximum and minimum values are set, data exceeding these values is automatically excluded, and data that exceeds these values is monitored using electromyography, and if the value exceeds a certain level, body movement is detected. EEG is also excluded in consideration of noise contamination caused by
Not only for each individual index, but also for excluding data for other indexes if one or more indexes are out of a specified value. In addition, when calculating outliers for item data in the representative value calculating means (32), it is recommended to check for input errors such as omission of item answers, data exceeding the answer score range, and detection of non-response (0) data. .

If a certain amount or more of outliers are mixed in, a message may be displayed on the display section (51) to request the measurement to be performed again if necessary.

In addition, when the fifth invention is added, it has been explained that the evaluation will be performed using three representative values: steady state, stress state, and reactivity. During stress, steady state and reactivity, during stress and reactivity, and only reactivity). However, steady state and stress data collection is necessary regardless.

Furthermore, in the evaluation of reactivity, resting state data was used as the steady state, but data during other tasks may also be used, and the degree of recovery based on the difference/ratio from the resting state after a stress task or the degree of recovery within a stress task. may be evaluated.

Furthermore, similar to the physiological index, item data can also be used to obtain representative values of steady state, stress, and reactivity of status item data by adding the fifth invention, but without presenting any problems, Changes may be made only by setting the condition of the question items, or may include collecting subjective evaluation data regarding the task immediately after the stress task. In addition, the fifth invention is added to the third invention.
Although we have described an example in which state item data is input after the task is completed when the invention is added, other measurements may be taken during the task, or cases where only physiological indicators are measured but state item data are not measured, etc., depending on the purpose. It may also be possible to make the selection possible. Further, although the example in which the representative value file (34) is created has been described, other storage means may be used.

Further, in the above embodiment, the determination unit (/L
) has been updated to update the standard value when calculating individual scores. As a result, the reliability of the standard value increases as the number of steps increases, and it is possible to deal with cases where the standard value is determined at the initial setting with a small number of n. There is no need to update when standard values are available.

In addition, attribute information is not only used for searching, but also as a coefficient for further modifying and correcting the standard value of each attribute group, for example, by multiplying the standard value extracted by gender by the age coefficient or height/weight ratio. It's okay.

Furthermore, when the distribution of representative value data is not normal, more reliable individual scores can be obtained by performing variable transformation such as logarithmic transformation or square root transformation when scoring, depending on the characteristics of each data.

In addition, in addition to multiple representative values, composite variable calculations also apply to individual score data if the fourth invention is added, such as calculating the average individual score when calculating a comprehensive score regarding arousal of all physiological indicators. Used for information compression and overall evaluation score calculation. Further, in addition to simply averaging a plurality of representative values or individual scores, an average or summation multiplied by a weighting coefficient as necessary, a bivariate correlation coefficient, a factor score by factor analysis, etc. are performed. Note that when the composite variable is a correlation coefficient, factor score, etc., a standard value for the composite variable is unnecessary.

The level reference value used for rough judgment value calculation does not need to be provided when the standard is divided into p levels or when the individual score obtained by adding the fourth invention is used as is, but it is not necessary to set it for each data. It is better to provide this when classifying people into different levels or when individual scores include scores with different characteristics such as factor scores. Furthermore, when it is desired to set a different level reference value for each attribute, or when it is desired to make corrections based on the attribute information, an attribute search may be performed in the same way as for standard values. Furthermore, when the pattern is a reference pattern or a representative value pattern, calculation for the level is not necessary.

Furthermore, the type determination is based on the code pattern of the level-divided determination value (L M NSL L L, HHH, etc.)
The example was explained in which the type is determined by comparing and matching each code pattern of a reference pattern group prepared in advance (for example, the L L L pattern is type A, etc.), but the determination value may be used as is, or the It is also possible to simply output the judgment value for the level as pattern data.

The data stored in the judgment result file is the judgment value and judgment result, but if the fourth invention is added, individual scores may be included, and the file search 10 coats (41) may be used.

Further, in the above embodiment, messages and graphs corresponding to the determination type are shown in the output and display of the determination results, but other image information or auditory information may be used. Also,
An example of searching for past data and displaying it together is explained using a flowchart. This allows more detailed data to be communicated to the person to be measured since it can be compared with the previous data, but it is not necessary for the first time or when it is not particularly necessary, and in the latter case, there is no need to create a judgment result file. .

In addition, when presenting a task, the contents presented include a signal to start and end the measurement, a processing selection menu, an instruction to input attribute information, an instruction to input item data, and a question item, an instruction to rest and task presentation when measuring physiological index rest data, and stress. Instructions and task presentation for time data measurement.

In addition, for the resting task, in addition to simply instructing people to rest with their eyes open or closed, they will also be asked to rest with their eyes open or closed.
M etc., music presentation, image information presentation, etc. may be performed. Although the response input unit (23) allows the subject to be measured to input responses to these tasks, this is not necessary.
In addition, response data to the assignment may also be stored in a file.

Also, when an error occurs during a task, a warning sound or sound is emitted,
Feedback of the number of errors may be given after lesson M. This allows for more appropriate stress loading and for checking the degree of load.

Note that each component of the input section (2) may be realized by one keyboard.

Furthermore, each component of the output section (5) may be realized by one CRT display.

In addition, when the fourth invention is added, attribute information input is as follows:
Although an example has been described in which this is performed prior to data measurement, it may also be performed after each data measurement. Further, in the third invention, the physiological index data measurement and the item data measurement are explained in this order, but either of these two may come first. In addition, in data measurement when the fifth invention is added, the explanation was given in the order of rest task → stress task, but since the initial data may be due to the subject's tension, etc., the rest task is repeated multiple times. After that, it is recommended to measure stress data or repeat the rest task → stress task multiple times. Furthermore, when calculating the degree of recovery to evaluate reactivity, it is better to change the stress task to the rest task.

It is recommended that these settings be made variable.

In addition, although the above embodiment described the stress level,
It can also be applied to other stress levels and health levels, such as fatigue levels and comfort levels as negative stress levels.

[Effects of the Invention] As described above, according to the first aspect of the present invention, there is provided a physiological index measuring means for measuring a plurality of physiological indexes reflecting stress load, and a physiological index measuring means for measuring a plurality of physiological indexes reflecting stress load, and a representative value of each measured physiological index data. means for determining a representative value to be obtained; a group of reference patterns for stress physiological reaction type determination; a determining means for determining the stress physiological reaction type by comparing a pattern made from each of the representative values with each reference pattern of the reference pattern group; Since the stress level determination device is configured by the output means for outputting the determination result and the control means for controlling these operations, it is possible to perform a more multifaceted and reliable stress level determination that addresses individual differences in physiological indicators. effective.

According to the second aspect of the present invention, there is also an item presentation means for presenting a plurality of question items regarding stress, an item data input means for inputting information on each answer to the question items,
A representative value determination means for determining each representative value of the input item data, a reference pattern group for stress item reaction pattern judgment, and a stress item response pattern group that compares and matches the pattern created from each of the above representative values with each reference pattern of the above reference pattern group. Since the stress level determination device is configured by a determination means for determining the item response type, an output means for outputting the determination result, and a control means for controlling these operations, only the response patterns to multiple question items regarding stress can be used as the determination material. As a result, stress levels can be determined multifaceted and accurately.

Further, according to the third aspect of the present invention, there is a physiological index measuring means for measuring a plurality of physiological indexes reflecting the degree of stress, an item presenting means for presenting a plurality of question items regarding stress, and each answer to the above question items. Item data input means for inputting information; representative value determining means 1 for determining representative values of each measured physiological index data; representative value determining means 2 for determining representative values of each input item data; and for stress comprehensive reaction type determination. A group of reference patterns, a determination means for comparing and collating patterns created from the above-mentioned respective representative values and each reference pattern of the above-mentioned reference pattern group to determine the stress comprehensive reaction type, an output means for outputting the judgment result, and operations thereof. Since the stress level determination device is configured with a control means that controls the stress level, the stress level can be determined as a stress comprehensive reaction type using multiple physiological index patterns that reflect the stress level and response patterns to multiple stress-related question items as determination materials. This method has the effect of making a more multifaceted and reliable stress level judgment by addressing individual differences in physiological indicators and also taking item response types into consideration.

According to a fourth aspect of the present invention, in addition to the first to third aspects, there is provided an attribute input means for inputting attribute information of a subject to be measured, and standard values and groups created in advance for each attribute. An individual score calculation means is provided to calculate the score of the individual in the sample, and each representative value is scored in consideration of the attributes of the person to be measured to obtain the individual score, and a pattern created based on this score is used. Since the type is determined, the type can be determined in consideration of the attribute factors of the person to be measured, such as age and gender, and there is an effect that more reliable stress level determination can be performed.

According to a fifth invention of the present invention, in addition to the first to third inventions, there is provided a task presentation means for presenting a stress task, a reaction input means for inputting a response to the stress task, and a response to a stress load. A reactivity calculation means is provided to calculate change data from steady state to stress as reactivity, and three types of representative values are calculated for steady state, stress, and reactivity for each measurement data during steady state and stress. However, since type determination is performed using a pattern created from these representative values, it is possible to perform more accurate measurements and more reliable representative value calculations that also take background mechanisms into account.

[Brief explanation of the drawing]

FIG. 1 is an embodiment of the present invention, and FIG. 2 is a block diagram showing a stress level determination device in which the fourth and fifth inventions are added to the first invention, and FIG. 2 is a diagram showing another embodiment of the present invention. As an example, FIG. 3 is a configuration diagram showing a stress level determination device when the fourth and fifth inventions are added to the second invention. FIG. 4 is a configuration diagram showing a stress level determination device when the fourth and fifth inventions are added
a)(1))(C) is a flowchart showing the operation in the first invention, FIG. 5 is a flowchart showing the operation when the fourth invention is added to the first invention, FIG. 6(a) (b) is a flowchart showing the operation when the fifth invention is added to the first invention,
Figure 7 is a flowchart showing the operation when the fourth and fifth inventions are added to the first invention, and Figures 8(a) and (h) are the flowcharts for the second invention.
FIG. 9 is a flowchart showing the operation when the fourth invention is added to the second invention, and FIGS. A flowchart showing the operation when the invention is added. FIG. 11 is a flowchart showing the operation when the fourth and fifth inventions are added to the second invention. FIG. 12 is a flowchart showing the operation when the fourth and fifth inventions are added to the second invention. FIG. 13 is a flowchart showing the operation when the fourth invention is added to the third invention, and FIGS. 14(a) and (b) are flowcharts showing the operation when the fifth invention is added to the third invention. A flowchart showing the operation when
FIG. 15 is a flowchart showing the operation when the fourth and fifth inventions are added to the third invention, and FIGS. 16(a) (b)
) are explanatory diagrams showing output results according to one embodiment and another embodiment of the present invention, FIG. 17 is a configuration diagram showing a conventional stress level determination device, and FIG. 18 is a diagram showing another conventional stress level determination device. FIG. 2 is a configuration diagram showing the device. In the figure, (1) is the physiological index measurement part, (2) is the input part, (22) is the attribute input part, (23) is the reaction input part, (24) is the item data input part, and (3) is the representative. (
(31) is representative value calculation means 1 (32) is representative value calculation means 2, (33) is reactivity calculation means, (34)
is a representative value file, (4) is a judgment unit, (42) is a standard value file, (43) is an individual score calculation means, (451)
) to (453) are reference value files 1 to 3, (46) is judgment means, (47) is judgment result output section, (5) is output section, (52) is task presentation section, (53) is item presentation section Department,
(6) is a control section. In addition, in the figures, the same reference numerals indicate the same or corresponding parts.

Claims (5)

[Claims] (1) Physiological index measuring means for measuring a plurality of physiological indexes that reflect the degree of stress, representative value determining means for determining the representative value of each measured physiological index data, a group of reference patterns for stress physiological reaction type determination, and each of the above-mentioned representatives A determination means for determining a stress physiological reaction type by comparing a pattern created from the value with each reference pattern of the reference pattern group, an output means for outputting the determination result, and a control means for controlling these operations. A stress level determination device. (2) Item presentation means for presenting a plurality of question items regarding stress, item data input means for inputting each answer information for the above question items, representative value determination means for calculating each representative value of the input item data, stress items a group of reference patterns for determining reaction patterns, a determination means for comparing and collating patterns created from the respective representative values with each reference pattern of the reference pattern group to determine the stress item reaction type, an output means for outputting the determination results; and a stress level determination device comprising control means for controlling these operations. (3) Physiological index measuring means for measuring multiple physiological indexes that reflect the degree of stress, item presenting means for presenting multiple question items regarding stress, item data input means for inputting information on each answer to the above question items, measurement representative value determining means 1 for determining the representative value of each inputted physiological index data; representative value determining means 2 for determining the representative value of each input item data;
A standard pattern group for determining the stress comprehensive reaction type, a determination means for comparing and collating patterns created from the above representative values with each reference pattern of the standard pattern group to determine the stress comprehensive reaction type, and an output for outputting the determination result. and a control means for controlling these operations. (4) Attribute input means for inputting attribute information of the subject to be measured, standard values prepared in advance for each attribute and individual score calculation means for calculating scores of individuals in the group, and each representative value is 4. The stress level determining device according to claim 1, wherein the stress level determining device performs scoring in consideration of the attributes of the person to be measured to obtain an individual score, and determines the type using a pattern created based on the score. (5) A task presentation means for presenting a stress task, a reaction input means for inputting a response to the stress task, and a reactivity calculation means for calculating change data from a steady state to a stress state as a reactivity to a stress load. ,
5. According to claims 1 to 4, representative values of three types of steady state, stress, and reactivity are calculated for each measurement data during steady state and stress, and type determination is performed using a pattern created from these representative values. stress level determination device.