JP2965618B2 - Stress degree judgment device - Google Patents

Description

DETAILED DESCRIPTION OF THE INVENTION [Industrial Application Field] The present invention relates to the field of stress and health of humans in the medical fields such as psychiatry, neurology, and psychosomatic medicine, and in stress-related and health / sports-related industries such as stress management. The present invention relates to a stress degree determination device for measuring and evaluating degrees.

[Prior Art] Conventional methods for measuring and evaluating the degree of stress and health of humans include a method using a questionnaire, a method based on the analysis of biochemical substances in blood and urine, and a method based on a physiological index. Of these methods, the objective evaluation method is not a non-invasive measurement for blood, and the measurement is not easy and it is difficult to measure over time. There were drawbacks. The physiological index is advantageous in that measurement over time can be performed relatively easily by noninvasive measurement. Conventionally, for example, a "health management device" disclosed in Japanese Patent Application Laid-Open No. Hei 1-2201230 is used to determine the degree of stress or the degree of health based on such a physiological index, and FIG. 17 is a configuration diagram thereof. In the figure, (91) is a terminal device having a measuring device (911) and a display unit (912), and (92) is a bivariate analyzing means (922) based on a data file (921) measured by the measuring device (911). And a determination unit (923) for determining the degree of health via the PC.

 Next, the operation will be described.

A pair of measurement data serving as an index of the degree of health, for example, blood pressure and an electrocardiogram, are measured by the measuring device (911) of the terminal device (91), and are combined with the determination unit (92) in the data file (921). Is stored as The determination unit (92)
On the basis of the pair of measurement data files (921), an average value, a standard deviation, and the like are obtained, and a correlation coefficient is calculated by a bivariate analysis unit (922) that calculates a correlation coefficient.
The correlation coefficient or the like obtained by the bivariate analysis means (922) is compared in magnitude with the set value by the determination means (923) to determine the degree of health, and is displayed by the display unit (912) of the terminal device (91). Displayed to the person to be measured.

Further, as another conventional example, a device for measuring and evaluating subjective data of a stress degree such as fatigue in addition to a physiological index includes, for example, an “evoked potential measuring device” disclosed in JP-A-2-1233, FIG. 18 is a diagram showing the configuration. In the figure,
(951) is a character string presentation unit that presents inspection items such as character strings, (952) is a character string data storage unit that stores this, (9)
53) is a character string presentation control unit that performs this presentation control, (961)
Is an evoked potential measurement unit that measures evoked potentials of brain waves, (962)
Is the evoked potential recording section that records this, (963) the evoked potential recording control section that controls the recording, (964) is the evoked potential analysis section that analyzes the recorded evoked potential, and (965) controls the measurement procedure. This is an evoked potential measurement procedure control unit. (97
1) is a subjective quantity input section for inputting a subjective quantity for a presented character, (972) is a subjective quantity data collection section for collecting the subjective quantity, (973) is a subjective quantity data analysis section for further analyzing this, (974) Is an objective quantity / subjectivity relationship analysis unit for analyzing the relationship between the objective quantity and the subjective data based on the analyzed evoked potential.

 Next, the operation will be described.

First, the evoked potential is measured by the evoked potential measurement procedure control unit (965), and the character string presentation control unit (953) stores the character string data in the character string data storage unit (952) in the character string presentation unit (951).
The evoked potential is measured from the subject by the evoked potential measurement unit (961), and the evoked potential recording control unit (963)
Is recorded in the evoked potential recording unit (962) for a certain period of time, signal processing such as addition is performed by the evoked potential analysis unit (964), and an objective quantity such as amplitude and latency is obtained. On the other hand, subjective data of the person to be measured with respect to the character string is input from the subjective quantity input unit (971), and the subjective data collection unit (971).
It is collected in 2), analyzed by the subjective quantity data analysis unit (973), and further, the correlation coefficient with the objective quantity obtained from the evoked potential is calculated by the objective quantity / subjectivity relationship analysis unit (974).

[Problems to be Solved by the Invention] As described above, many conventional devices for determining the degree of stress or health based on physiological indices use a single index and simply display the magnitude of the result. From the viewpoint of individual differences in physiological indices, that is, indices that reflect the degree of stress and health are often different from person to person, such as those with faster heart rate and those with higher blood pressure, underestimation of stress and health, Or perhaps there was a danger of overestimating. In many cases, a plurality of indices are used to simply display the results of the indices in parallel, and this is slightly different from the above error, but is not different from a mere display device. Furthermore, in the above-described conventional example, the judgment algorithm is simple, for example, only the correlation between a pair of measurement data is observed, and the final judgment result is left to the subject or the measurer. There were many problems and the measurement conditions were unclear. However, when using physiological indices for evaluation of the degree of stress or health, it is necessary to sufficiently consider characteristics such as individual differences and background mechanisms.

Furthermore, in addition to the physiological indices, other conventional examples of stress level and health level judging devices that deal with answer information to question items related to stress simply measure subjective data and check the relationship such as correlation with physiological indices. There was nothing that evaluated the response pattern together with the physiological index to determine the degree of stress.

The present invention has been made to solve the above problems. (1) First, a plurality of physiological indices reflecting the stress level are used as materials for determining the stress level. It is a first object of the present invention to obtain a stress level determination apparatus that takes into account the problem of individual differences when using physiological indices for evaluation, such as determining a stress level, and that determines a stress level more accurately from multiple perspectives.

(2) Further, by using item data that is answer information to a plurality of question items related to stress as a material for determining the stress level, and determining the stress item response type from the pattern, a more multifaceted and accurate stress level can be obtained. It is a second object to obtain a stress degree determination device for determining the degree of stress.

(3) Further, by using a plurality of physiological indices and item data as materials for determining the degree of stress, and determining the overall stress response type from the patterns of both, a stress that stabilizes the degree of stress more versatilely and accurately. A third object is to obtain a degree determination device.

(4) Further, in addition to the above-mentioned purposes 1 to 3, the personal score in the attribute group is calculated for the representative value of each measurement data by further considering attributes such as the age and gender of the subject. A fourth object of the present invention is to provide a stress level determination device that can perform more reliable evaluation, such as performing type determination from the pattern.

(5) Further, in addition to the above-mentioned objects 1 to 3, the measurement conditions are clarified, and a task presentation for performing data measurement in a steady state such as at rest and a stress load and a response of the subject to the task are presented. A fifth object of the present invention is to provide a stress level determination device which can input data and calculate a representative value of individual measurement data, which can evaluate not only the steady state but also the responsiveness to stress and stress load.

[Means for Solving the Problems] A stress degree determination device (hereinafter, referred to as a first invention) according to the present invention includes a physiological index measuring means for measuring a plurality of physiological indices reflecting the stress level, Representative value determining means for obtaining a representative value of the physiological index data, a reference pattern group for determining a stress physiological response type, a level and a pattern created from each of the representative values, and comparing and comparing each reference pattern of the reference pattern group with a stress. It is provided with a determination means for determining the level and the type of stress physiological response, an output means for outputting a determination result, and a control means for controlling these operations.

In addition, a stress level determination device according to another invention of the present invention (hereinafter, referred to as a second invention) is an item presenting means for presenting a plurality of question items related to stress, and inputs respective answer information to the question items. Item data input means, representative value determining means for obtaining each representative value of the input item data,
Stress item reaction pattern determination reference pattern group, a level and a pattern created from each of the representative values, and a determination unit for comparing and comparing the pattern and each reference pattern of the reference pattern group to determine a stress level and a stress item response type, It is provided with output means for outputting the determination result and control means for controlling these operations.

In addition, a stress level determination device (hereinafter, referred to as a third aspect) according to still another aspect of the present invention includes a physiological index measuring unit that measures a plurality of physiological indexes reflecting the stress level, and a plurality of question items related to stress. Item presenting means for presenting each of the question items, item data inputting means for inputting respective answer information to the above-mentioned question items, representative value determining means 1 for obtaining a representative value of each measured physiological index data, each representative value of the input item data Value determining means 2 for determining the stress level, the stress total response type determination reference pattern group, the level and the pattern created from the above representative values, and comparing and comparing each of the reference patterns of the reference pattern group with the stress level and the stress total response. It is provided with a determination unit for determining the type, an output unit for outputting a determination result, and a control unit for controlling these operations.

Attribute input means for inputting attribute information of a person to be measured, and individual score calculating means for obtaining a standard value created in advance for each attribute and a score of an individual in a group for each of the stress degree determination devices. It is preferable to obtain a personal score by scoring each representative value in consideration of the attribute of the person to be measured, and make a type determination using a pattern created based on this score (hereinafter, the fourth type). Described as invention).

In addition, for each of the stress degree determination devices, a task presenting means for presenting a stress task, a reaction inputting means for inputting a response to the stress task, and change data from a steady state to a stress state as responsiveness to a stress load. Is provided, and for each measurement data in the steady state and the stress state, three representative values of the steady state, the stress state, and the reactivity are calculated, and a pattern created from these representative values is used. Type determination may be performed (hereinafter, referred to as a fifth invention).

[Operation] In the stress level determining apparatus according to the present invention, the stress level determining apparatus according to the first aspect of the present invention measures not a single index but a plurality of physiological indices, regards them as response patterns, and compares and compares them with a reference pattern. However, since the stress level is determined as a type of physiological response pattern, individual differences that are problematic when using physiological indices for stress level and health level evaluation, for example, an index with a high load effect when stress is applied differ from individual to individual. It is possible to perform an evaluation in which characteristics such as a large number of factors are sufficiently considered. Furthermore, physiological responses to stress can be grasped from more various aspects, and stress evaluation with higher reliability than before can be performed.

Further, the stress level determination device according to the second invention measures item data that is answer information to a plurality of question items related to stress, captures the data as a response pattern, and determines the stress level as a type of the stress item response pattern. By doing so, a more multifaceted and accurate determination can be made from only the item data.

In addition, the stress level determination device according to the third invention determines the stress level using a plurality of physiological indices and a plurality of item data as the stress level determination material.
In addition to the functions of the inventions of the second and the third aspects, the stress total response type determination can be performed in consideration of the stress physiological response type and the stress item response type, and the stress can be grasped from more various aspects, and the reliability can be more improved than before. High stress evaluation is possible.

Further, the stress degree determination apparatus according to the fourth invention is characterized in that
In addition to the functions of the third to third aspects of the present invention, scoring is performed by using a standard value obtained in advance for each attribute group in accordance with the attribute of the person to be measured. A more appropriate evaluation value can be obtained by scoring the representative value of each measurement data as the position of the individual in the group. For example, depending on measurement data such as blood pressure, aging and gender differences are reflected, so it is necessary to take these factors into account. According to the fourth invention, a score is formed based on this, and the type is determined based on the individual score pattern, so that a more reliable evaluation can be performed.

Further, the stress degree determination device according to the fifth invention is characterized in that
-In addition to the function of the third invention, a function of presenting a steady-state task or a stress task and a function of inputting a response thereto are provided.
In addition to a steady state such as at rest, data during a stress task load can be measured, and a change value from the steady state to a stress state is calculated as responsiveness to a stress load. Since the reactivity is determined by both the relationship between the steady state and the stress load, it is necessary to perform an evaluation taking into account the change from the steady state to the stress condition. Is clarified, and three types of representative values are calculated in the steady state, the stress state, and the reactivity, so that a more reliable representative value is obtained.

[Example] Hereinafter, an example of the present invention will be described.

In the first invention, a plurality of physiological indices are measured. In the measurement of the plurality of physiological indices, an electroencephalographic α-band power is used as an index reflecting the central system, and a frontal electromyogram is used as an index reflecting the skeletal muscle system. An example in which fingertip skin temperature is used as an index reflecting the autonomic system will be described.

The reason for using the indicators representing these three systems is based on our research results in the evaluation of stress level. In other words, six factors were obtained from the results of factor analysis of multidimensional physiological indices at rest and when stressed mental arithmetic tasks were performed by about 70 healthy adult men and women, and the factor structure was stable even after remeasurement after about 3 weeks. Was obtained. Table 1 shows the results of the factor analysis in the first measurement. In Table 1, the upper row shows data at rest, and the lower row shows change data from resting time to task load, and the difference or ratio between resting time and load time is taken. From Table 1, the multidimensional physiological indices under stress are obtained by combining the resting data (upper row) and the change data (lower row) to obtain the EEG α-band power that reflects the central system EEG frequency that reflects the central system Skeletal muscle system Frontal electromyogram reflecting the skin temperature and electroencephalogram height reflecting the sympathetic system activated during stress in the autonomous system, especially the activity of the parasympathetic system in the autonomous system (inhibition during stress)
Can be evaluated from the six factors of the pulse wave interval reflecting the autonomous system.
Corresponds to ~ in Table 1). The central system,
Reflects the skeletal musculature, the autonomous system,
This shows that factors that reflect at least the central system, skeletal muscle system, and autonomic system are independent, and that it is possible to evaluate and classify the degree of stress by selecting an index set that reflects these three systems. .

Furthermore, in the second and third inventions, responses to question items related to stress are treated as measurement data. However, subjective evaluation based on answer data of question items related to stress affects physiological responses and behavior during stress. Is important as a factor. In our research results, 15 independent factors were extracted as a result of factor analysis of the answer data for multiple question items. Table 2 shows the results.
Shown in This indicates that it is possible to quantitatively evaluate and classify the degree of stress from the pattern by measuring the answers to the question items reflecting at least these factors. Further, by adding the stress-related question item answer pattern to the plurality of physiological indices described above as a material for determining the stress level, it can be expected that more appropriate stress level determination can be performed. In Table 2, 15 factors are extracted. In the embodiment, an example will be described in which J lower items (I × J) reflecting I upper items are used as question items.

FIG. 1 is a configuration diagram showing a stress degree judging device according to an embodiment of the present invention, which is obtained by adding fourth and fifth inventions to the first invention. FIG. 2 is a block diagram showing another embodiment, in which the fourth and fifth inventions are added to the second invention. FIG. 3 is a further embodiment, in which the fourth and fifth inventions are added to the third invention. It is a block diagram which added the invention. In these figures, the essential components in the first to third inventions are indicated by double lines, the configuration according to the fourth invention is indicated by dotted lines, the configuration according to the fifth invention is indicated by dashed lines, and other components are indicated by dashed lines. This is shown in the figure by a solid line.

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

In FIG. 1, (1) is a physiological index measuring unit that measures a plurality of physiological indices, (2) is an input unit, (3) is a representative value determining unit that obtains a representative value such as an average value from each measurement data,
(4) a determination unit for comparing and collating a pattern created from a representative value with a reference pattern to determine a stress level and output a determination result; (5) an output unit for displaying the determination result; and (6) a control unit. Department. The configuration of each unit will be described below.

In the physiological index measuring unit (1), (11) is a group of sensors for detecting a plurality of physiological responses, (12) is configured using an amplifier, a feature extraction filter, an integrator, and the like, and has an electroencephalogram detected by the group of sensors. It is a biological signal processing unit that extracts physiological index data corresponding to the purpose, such as α-band power, integrated value of myoelectric potential, temperature, etc., from physiological responses such as electromyogram and skin temperature.

In the input unit (2), a control input unit (21) sends a signal such as a start of measurement to the control unit (6). further,
(22) is an attribute input unit for inputting attribute information such as the age and gender of the person to be measured in the fourth invention, and (23) is a reaction input unit for inputting a response to the task in the fifth invention.

In the representative value determining section (3), (31) is a representative value calculating means 1 for obtaining a representative value such as an average value from each physiological index data, and (34) is a representative value file for recording the obtained representative value. is there. Further, (33) is a reactivity calculating means for obtaining change data (difference or ratio between at rest and stress) in the fifth invention.

In the determination unit (4), (44) is a synthetic variable calculating means for obtaining a synthetic variable from a plurality of representative values and compressing the data, and (451) is a level dividing reference value and a stress physiological response type determining reference pattern. The reference value file 1 (46) for storing the groups performs a level division operation of each representative value or a composite variable from the level reference value of the reference value file 1 (451) to obtain a level-divided judgment value. A determination means for comparing and matching the pattern created by the determination value with each reference pattern of the reference pattern group of the reference value file 1 (451) to determine the type of stress physiological response, and (47) outputting a determination result for outputting the determination result The unit (48) is a judgment result file for storing the judgment result. Further, (41) is composed of the attribute information of the measured person input from the attribute input section (22) and the search code.
ID code, (42) is a standard value file that stores standard values obtained in advance for each attribute such as age and gender, and (43) is a representative value based on standard values retrieved using the ID code (41). A personal score calculation means for obtaining a personal score from individual representative values created by the value determining unit, and these (41), (42) and (43) are added to constitute a fourth invention.

In the output unit (5), (51) indicates the start of measurement.
This is a display unit that displays a message of an end signal and a determination result from the determination result output unit. Further, (52) is an assignment presenting section for presenting an assignment in the fifth invention.

Further, the control unit (6) starts and ends signal processing in the physiological index measuring unit (1), measures physiological index data, performs input processing from the input unit (2), performs calculations in the representative value determining unit (3), These operations are controlled, such as file creation, calculation and file input / output in the determination unit (4), determination result display in the output unit (5), stress task presentation, and question item presentation.

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

The control unit (6) of FIG. 1 is a display unit (5) of the output unit (5).
A signal indicating the start of measurement is displayed in 1), and the processing in the physiological index measuring unit (1) is started by a control input unit (21) of the input unit (2), for example, by a start signal from a reaction key, and the physiological index data measurement is started. Do. That is, the target physiological index data is extracted in the biological signal processing unit (12) for a plurality of physiological responses detected by the sensor group (11), for example, brain waves, electromyograms, skin temperatures, and the like. Next, the extracted physiological index data is used as the representative value calculation means 1 (31) of the representative value determination unit (3).
After calculating outliers such as removing outliers and noise, a representative value such as an average value is obtained. After the above is repeated k times (k ≧ 1), the representative value (M × k times; M is the number of indices, 3 in this case) of each index is stored in the representative value file (34). Next, under the control of the control unit (6), each representative value data is taken into the determination unit (4), and the combined variable is calculated by the combined variable calculation means (44) according to the purpose. For example, data of two or more variables is used as an object, such as obtaining an average value of electromyograms of a plurality of parts to obtain an overall muscle tone, and is used for information compression.
Next, using the level reference value of the reference value file 1 (451), the determination means (46) performs a level division operation of each representative value and the composite variable to obtain a determination value. The reference physiological pattern of the reference pattern group of the value file 1 (451) is compared and collated to determine the type of stress physiological response. That is, in the determination means (46), the reference value file 1
A level reference value is extracted from (451), and based on this, magnitude comparison with each representative value is performed, level division is performed, and a determination value divided into p levels is obtained. Assuming that the determination value is, for example, p = 3 and has three levels of L, M, and H, the code is obtained. Furthermore, from the reference value file 1 (451),
Each reference pattern of the stress physiological response type determination reference pattern group is extracted, the pattern created by the determined determination value and each reference pattern are compared and collated, and if they match the reference pattern, the corresponding type is extracted. If is LLL, the type is determined, such as stress physiological response type A. Next, under the control of the control unit (6), the determination value and the type determination result are output from the determination result output unit (47) to the display unit (51) of the output unit (5), for example, a printer or a CRT display, A message or the like corresponding to the determined type is displayed to the subject. Further, these results are stored in the determination result file (48).

After one measurement is performed as one sequence as described above, a measurement end message is displayed on the display unit (51) under the control of the control unit (6), and the control input unit (21 The measurement is terminated by an end signal from ()).

In FIG. 1, the configuration of the fourth invention is obtained by adding the configuration shown by the dotted line. That is, prior to the measurement of the physiological index data, a search code such as attribute information such as the age and gender of the subject and file input / output is input from an attribute input unit (22) of the input unit (2), for example, a keyboard. It is temporarily stored in the ID code (41) of the determination unit (4). Furthermore, prior to the determination value calculation in the determination unit (4), the personal score calculation means (43) uses the ID code (41) and the standard value file (42) to correspond to the attributes of the person to be measured. An individual score indicating the relative position of the individual in the group is calculated. That is, first, each representative value obtained by the representative value determining unit (3) is taken into the personal score calculating means (43). Also, from a standard value file (42) storing standard values calculated in advance for each attribute group such as age and gender,
Using the ID code (41), a standard value corresponding to the attribute of the subject is searched. The personal score calculation means (43) performs a score conversion using these representative values and standard values, and obtains a personal score. Further, the corresponding standard value is updated from the newly obtained representative value using the ID code (41). In the scoring, for example, assuming that a standard value is composed of an average value and a standard deviation, the following individual score calculation is performed. That is, based on the standard value average μ and the standard value standard deviation σ, the personal score is calculated as the personal score D = SD (representative value−standard value average μ) / standard value standard deviation σ + Mean. Is calculated. Where SD is the standard deviation of individual scores, Mean is the average of individual scores, and SD = 10, Mean = 50 and Z
H score is obtained when the score is SD = 14 and Mean = 50. 99.7 for the normal distribution between 20 and 80 for the normal distribution and 8 to 92 for the latter
Contains 4% (± 3SD) data. Further, when an individual score that is significantly out of the range is obtained (for example, when the score exceeds ± 3 SD or more), the upper limit or the lower limit may be set to a predetermined value. The standard value data constituting the standard value file (42) used for scoring requires the average and standard deviation of data in the population (n persons) for each attribute such as age and gender. It is better to have them in the form of a sum and a sum of squares (n, ΣXi, ΣXi ² , where n is the number of people and Xi is the representative value data of each person constituting the group). That is, after extracting from the standard value file (42), if μ: average of standard values = ΣXi / n σ: standard value standard deviation = {(ΣXi ² / n)-(ΣXi / n) ² } ^1/2 Good.

When the standard value is updated, n + 1, Σ
Xi + Xi + 1 and ΣXi ² + Xi + 1 ² (Xi + 1 is a newly obtained representative value).

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

Furthermore, in FIG. 1, the configuration shown by the one-dot chain line is added, whereby the fifth invention is obtained.
That is, at the time of measuring the physiological index data, first, the data at rest is measured as a steady state. In response to a start signal from the control input unit (21), a task presentation unit (52), for example, a resting task is presented on a CRT display under the control of the control unit (6). The process is started, the physiological index data is extracted and taken into the representative value calculating means 1 (31) of the representative value determining unit (3), and after the outlier calculation, the resting representative value is obtained as the steady state representative value. Next, the data of the stress task is measured.
Similarly, the control input unit (21) presents a stress task to the task presenting unit (52) under the control of the control unit (6), and starts processing in the physiological index measuring unit (1). The physiological index data is extracted, and the representative value calculating means 1 (3
After the calculation of the outlier, the representative value under stress is obtained. At the time of the stress task, the response of the person to be measured to the task is input from the reaction input unit (23) of the input unit (2). Stress tasks include mental arithmetic tasks,
Mistake (error) detection, letter cancellation (detect a specific character such as e), Stroop task (color character presentation), reaction time task, quiz task, etc. can be raised. Next, change data such as a difference between a stress state and a rest state, or a change ratio, for example, is calculated by the reactivity calculation means (33) from the data in the steady state and the stress state as the representative value of the reactivity.
After the above is repeated k times (k ≧ 1), M index × k times ×
Three types of representative value data (steady state representative value, stress representative value, and reactivity representative value) are stored in the representative value file (34). In the type determination in the determination means (46) of the determination unit (4), reference patterns (steady state pattern, stress pattern, and reactive pattern) corresponding to each of the three types of representative value patterns are extracted from the reference pattern group and compared. The types are compared, and the type of each of the three types and the type obtained by integrating the types are determined.

The flow chart of the operation according to the first invention is shown in FIG. 4 (a).
5 (b) and 5 (c) are flow charts of operations when the fourth invention is added, and FIGS. 6 (a) and 6 (b) are flow charts of operations when the fifth invention is added. FIG. 7 shows a flow chart of the operation when the fourth and fifth inventions are added.

That is, it is checked in step (71) whether or not the representative value of the physiological index has been calculated.
To calculate the representative value in step (72). In step (73), whether or not measurement is possible is checked. If the measurement has been completed, a representative value file is created in step (74). When the measurement has not been performed, for example, when there are many outliers such as noise mixture due to body movement of the measured object, the measurement is performed again. If the representative value of the physiological index has been calculated in step (71), the representative value is read in step (80). In step (89), the end of the judgment is checked. If the judgment is not completed, step (8)
The calculation of the composite variable is performed in step 3), and if necessary, the calculation is performed in step (84). In step (85), the judgment value divided into levels is obtained to create a pattern. In step (86), the pattern is collated with the reference pattern, and the type is determined. In step (87), the judgment result is filed, and the past data is also extracted. In step (88), the judgment result is displayed together with the past data. In FIG. 5, attribute information is input in step (70), and the same reference numerals perform the same operations as those in FIG. 4 thereafter. In step (81), a standard value corresponding to the attribute is searched and set, and in step (82), the standard value and the representative value are scored. Also, in the figure, A, a, B, and b indicate the same operations as in FIGS. 4 (b) and (c), respectively. Further, step (711) of FIG. 6 (b) shows a physiological index measurement at rest as a steady state, and step (72).
1) shows the calculation of the physiological index representative value at rest. Step (712) shows the measurement of the physiological index at the time of stress, and step (722) shows the calculation of the physiological index representative value at the time of stress. In step (723), a physiological index reactivity representative value is calculated. Further, in FIG. 7, C and c indicate operations similar to those in FIG. 6 (b).

Next, the second invention and a case where the fourth and fifth inventions are added thereto will be described.

In FIG. 2, the second invention comprises an input section (2), a representative value determination section (3), a determination section (4), an output section (5), and a control section (6). Further, in the input section (2), in addition to the control input section (21) in the first invention, (24)
Is an item data input unit for inputting item data that is answer information for a plurality of question items related to stress. In the representative value determining section (3), in addition to the representative value file (34) in the first invention, (32) is a representative value calculating means 2 for obtaining a representative value such as an average value for each upper item from each item data. It is. Further, in the determination unit (4), the combined variable calculation means (44), the determination means (46) in the first invention,
Judgment result output part (47), stability result file (48),
Reference numeral (452) denotes a reference value file 2 that stores a grouping reference value and a reference pattern group for determining a stress item response type. Further, in the output section (5), in addition to the display section (51) in the first invention, (53) is an item presentation section for presenting a plurality of question items related to stress. Further, like the first invention, the fourth invention has an attribute input unit (22), an ID code (41), a standard value file (42),
A personal score calculating means (43) is added, and in the fifth invention, a reaction input section (23), a reactivity calculating means (3
3), a task presentation section (52) is added.

 Next, the operation of the second invention will be described.

The control section (6) in FIG. 2 displays a signal to start measurement on the display section (51), and starts measuring the item data in response to a start signal from the control input section (21). The item presentation section (53)
Under the control of the control unit (6), a plurality of question items related to stress (I × J items, I is the number of upper items, J is the number of lower items)
And present it. The answer information to the question item from the subject is input to the item data input section (2) of the input section (2).
4), and is taken into the representative value calculation means 2 (32). After calculating outliers such as input errors and omission check of answers, a representative value such as an average value is calculated for each of the upper items. Stored in file (34).

Next, each representative value is taken into the determination unit (4), and the combined variable is calculated by the combined variable calculation means (44) according to the purpose. Further, the judging means (46) sets the reference value file 2 (45
Using the level reference value of 2), the representative value of each item data and the leveling operation of the composite variable are calculated to determine the judgment value, and the pattern created by the judgment value and each reference of the reference pattern group of the reference value file 2 (452) The pattern is compared with the pattern to determine a stress item response type from the pattern created by the item data. Next, the determination result is output from the determination result output unit (47). The judgment result file (4
8) is stored. As described above, one measurement is completed as one sequence.

In FIG. 2, by further adding a configuration shown by a dotted line, as in the first invention,
The personal score of the item data according to the attribute information of the person to be measured is calculated (fourth invention). Prior to the item data measurement, the attribute information and the search code of the person to be measured are input from the attribute input section (22) of the input section (2), and the ID code (43)
The personal score of the item data is temporarily stored in the personal score calculation means (43) using the ID code (41) and the standard value file (42) prior to the calculation of the determination value in the determination section (4). It is calculated and the type determination is performed for this individual score pattern.

In addition, in FIG. 2, by adding the configuration shown by the dashed line, in addition to the item data, item data in a temporary state under specific conditions such as during a task is obtained. First, the item data is measured as described above, the representative value of the item data is obtained, and the representative value file (3
4) is stored. Next, state item data in the steady state is collected, a resting task is presented to the task presenting section (52) by a start signal from the control input section (21), and the question item is next displayed in the item presenting section (53). The answer information is input by the item data input unit (21), and is further taken into the representative value calculating means (32), and a resting representative value is obtained as a steady state. Next, the state item data at the time of the stress task is collected, similarly, the stress task is presented to the task presenting section (52), the question item is presented to the item presenting section (53), and the answer information is input to the item data. Input from the section (21), a representative value at the time of stress is obtained. Next, a representative reactivity value is calculated from the obtained steady state and stress state item data, and the above is repeated K times, and then stored in the representative value file (34). The type determination in the determination unit (4) includes, in addition to the representative value pattern of the item data,
During stress, the reaction is performed for each pattern, and for the overall pattern of these.

The flow chart of the operation according to the second invention is shown in FIG.
FIG. 9 (b) is a flowchart of the operation when the fourth invention is added, and FIGS. 10 (a) and 10 (b) are a flowchart of the operation when the fifth invention is added. FIG. 11 shows a flowchart of the operation when the fourth and fifth aspects of the invention are added.

That is, in step (75), it is checked whether or not the representative value of the item data has been calculated.
Go to (0) and calculate the item representative value in step (76). Hereinafter, the same reference numerals perform the same operations as in FIGS. 4 to 7. In step (77), it is checked whether or not the representative value of the state item data has been calculated. If not, the process goes to step (751), and the rest item representative value is calculated in step (761). 752) The stress item representative value is calculated in (762). In step (763), a representative item reactivity value is calculated. In each figure, D,
d, E, and e indicate the same operations as those in FIGS. 8B and 10B, respectively.

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

In FIG. 3, the third invention is a physiological index measurement unit (1), an input unit (2), a representative value determination unit (3), a determination unit (4), an output unit (5), and a control unit (6). Further, as in the first and second inventions, the physiological index measuring unit (1) is a sensor group (11), a biological signal processing unit (12), and the input unit (2) is a control input unit (21). , Item data input section (2
4), the representative value determining unit (3) is a representative value calculating means 1 (31),
The representative value calculating means 2 (32) and the representative value file (34) are provided, and the determining section (4) includes a composite variable calculating means (44), a determining means (46), a determination result output section (47), and a determination result file. (48) The output unit (5) includes a display unit (51) and an item presenting unit (53).
Reference numeral 3) denotes a reference value file 3 that stores a reference value group for level division and a reference pattern group for determining a total stress response type. Further, similarly to the first and second inventions, for the fourth invention, an attribute input unit (22), an ID code (41), a standard value file (42), an individual score calculation means (43) ) Is added, and the reaction input unit (23),
A reactivity calculation means (33) and a task presentation section (52) are added.

 Next, the operation of the third invention will be described.

As in the first aspect, first, physiological index data is measured. A signal to start the measurement is displayed on the display unit (1), the processing of the physiological index measuring unit (1) is started from the signal of the control input unit (21), the physiological index data is measured, and the representative value calculating means 1
In (31), each physiological index representative value is obtained, and after the above is repeated k times, it is stored in the representative value file (34). Next, as in the second aspect, item data measurement is performed. The measurement of the item data is started from the signal of the control input unit (21), the question item is presented to the item presentation unit (53), the answer information is input from the item data input unit (24), and the representative value calculation means 2 ( Item representative values are calculated in 32) and stored in the representative value file (34). Next, each representative value is taken into the judging unit (4), and after the synthetic variable is calculated for the purpose, the judging means (46) sets the level of the reference value file 3 (453) including the physiological index and the item data. Using the reference value, a determination value is obtained by performing a level division operation of each representative value or a composite variable, and further, a pattern created by the determination value based on the physiological index and the item data, and a reference pattern group of the reference value file 3 (453). By comparing and collating with the reference pattern, not only the stress physiological response type and the item response type, but also the physiological index and the item data are measured together, and the stress total response type is determined using the combination pattern as a determination material, and these determination results are obtained. Is output from the determination result output unit (47) to the display unit (51) and the determination result file (48). As described above, one measurement is completed as one sequence.

In FIG. 3, the configuration shown by the dotted line is further added, so that the ID code (41) and the standard value file (42) are used as in the first and second inventions. The personal score of the physiological index according to the attribute information of the measurement target person and the representative value of the item data is calculated by the personal score calculating means (43).
(4th invention).

Furthermore, in FIG. 3, by adding the configuration shown by the one-dot chain line, the steady state, the stress state, and the reactivity representative value are calculated in the representative value calculation as in the first and second inventions. Desired. First, steady state data is collected. A resting task is presented to the task presenting section (52) by a signal from the control input section (21), the physiological index data is measured by the physiological index measuring section (1), and the physiological index is measured by the representative value calculating means 1 (31). A resting-state representative value is obtained as a steady-state representative value of the data. After the rest task, the question item is presented to the item presentation section (53), the answer information is input from the item data input section (24), and the representative value at rest of the state item data is inputted by the representative value calculation means 2 (32). Is required. next,
Data collection during stress tasks is performed. Similarly, a stress task is presented to the task presentation section (52) by a signal of the control input section (21), a response to the task is input from the reaction input section (23), and the physiological index is measured by the physiological index measuring section (1). It is measured, and a stress-time representative value of the physiological index is obtained. After the assignment is completed, a question item is presented to the item presentation section (53), answer information is input from the item data input section (24), and a stress-time representative value of the state item data is obtained. Next, a reactivity representative value is calculated for the physiological index and the status item data,
After the above is repeated k times, the physiological index representative value and the state item representative value are stored in the representative value file (34). Next, as in the second aspect, item data measurement is performed, and an item representative value is obtained and stored in the representative value file (34). Further, the type determination in the determination unit (4) is performed on the patterns of the steady state, the stress, and the reactivity of the physiological index and the state item data, the respective pattern of the item data representative value pattern, and the total pattern thereof.

As described above, FIG. 12 is a flowchart of the operation according to the third invention, and FIG. 13 is a flowchart of the operation when the fourth invention is added.
FIGS. 14 (a) and 14 (b) show a flow chart of the operation when the fifth invention is added, and FIG. 15 shows a flow chart of the operation when the fourth and fifth inventions are added.

In step (78), it is checked whether the representative values of the physiological index and the status item data have been calculated. In addition, in FIG. 15, F and f indicate the same operation as in FIG. 14 (b).

Further, FIG. 16 shows physiological index data determination values and physiological response type determination results as output result examples obtained by adding the fourth and fifth inventions to the first invention, and the fourth and fifth inventions according to the second invention.
Item data judgment value and item response type judgment result as an output result example to which the invention of the above is added, and physiological index and item data judgment value as output result examples to which the fourth and fifth inventions are added to the third invention. 16 (a) shows the case where the judgment values are classified into levels such as L, M, H, etc., and FIG. 16 (b) shows the case where the judgment values are displayed in analog. .

In the above embodiment, the physiological index measuring unit (1) uses the electroencephalogram α reflecting the central system as the physiological index to be measured.
Although the case where band power, the frontal electromyogram reflecting the skeletal muscular system, and the skin temperature reflecting the autonomic system were detected were described above, the frequency of the brain wave, etc. Alternatively, a combination of power and frequency may be used, and a plurality of parts may be detected. As a method of extracting α-band power, in addition to a feature extraction filter (α-band extraction filter), FF
A T (Fast Fourier Transform) operation may be performed to calculate the in-band power spectrum. Regarding the frequency, a plurality of feature extraction filters that further subdivide the α band are arranged in parallel, and the output ratio is multiplied by the center frequency of each filter. The frequency may be determined. In the skeletal muscle system,
Electromyograms of a plurality of sites (other front muscles, forearms, etc.) may be used. In the autonomous system, in addition to skin temperature, pulse rate, pulse height, pulse (heartbeat) interval variation, skin potential activity, blood pressure, respiration, and the like are considered, and a plurality of them may be detected in combination. When a plurality of indices are obtained from one response as in an electrocardiogram (heart rate, heart rate variability, T wave height, etc.),
It may be composed of one sensor and a plurality of biological signal processing units (12).

Further, in the above embodiment, when measuring the question item data, an example in which the question item is composed of a plurality of high-order items and a plurality of low-order items constituting the same has been described. May not be equal in number. Further, in the case where the fifth invention is added, an example in which measurement is performed together with the status item data has been described. However, only the status item data may be measured.

The attribute information of the person to be measured used in the fourth invention includes an ID code (4
Although it is temporarily stored as 3) and used for standard value search, file creation, and the like, when performing multiple measurements, an attribute information file may be created and searched using the ID code (43). Attribute information includes age, gender, physiological data such as height, weight, body fat mass, blood sugar level, exercise amount, post,
Working hours can be considered.

Further, a representative value calculation means (31) of the representative value determination section (3)
In the outlier calculation of physiological index data in, in addition to automatically setting the maximum value and the minimum value and excluding data exceeding this value, monitoring using electromyogram, if exceeding a certain level, the body When one or more indices deviate from a specified value, data of other indices may be excluded as well as individual indices, such as excluding brain waves in consideration of noise contamination due to motion. In the outlier calculation of the item data in the representative value calculation means 2 (32), input errors may be confirmed such as omission of item responses, detection of data exceeding the response score range, and detection of no response (0) data. Good. Further, when outliers are mixed in a certain amount or more, a message may be displayed on the display unit (51) so that the measurement may be performed again as necessary.

Also, in the case where the fifth invention is added, it has been described that the evaluation is performed using three representative values of the steady state, the stress state, and the reactivity. Stress, steady state and reactivity, stress and reactivity, only reactivity). However, steady state and stress data collection is necessary regardless of this.

Furthermore, in the evaluation of reactivity, data at rest was used as a steady state, but data at other tasks may be used.
Alternatively, the degree of recovery based on the difference / ratio to the rest after the stress task or the degree of recovery within the stress task may be evaluated.

Further, as with the physiological index, the item data can be obtained from the steady state, the stress state, and the reactivity representative value of the state item data by the addition of the fifth invention. The change may be made only by setting the condition of the question item, or the collection of the subjective evaluation data on the task may be included immediately after the stress task. In addition, in the case where the fifth invention is added to the third invention, an example in which the status item data is input after the task is completed has been described. May be selected depending on the purpose, such as when measurement is not performed. Also, the example in which the representative value file (34) is created has been described, but other storage means may be used.

In the above embodiment, the standard value is updated in the individual score calculation in the determination section (4) according to the fourth invention. As a result, the reliability of the standard value is improved each time the number of measurements is increased, and it is possible to cope with a case where the number of standard values obtained at the time of initial setting is small. When it is prepared, it does not need to be updated.

Also, the attribute information is not only used for search,
For example, the standard value extracted for each sex may be multiplied by an age coefficient or a height / weight ratio, or the standard value of each attribute group may be used as a coefficient for further correcting or correcting.

Further, when the distribution of the representative value data is not of the normal type, if variable transformation such as logarithmic transformation or square root transformation is performed at the time of scoring according to the characteristics of each data, a more reliable individual score can be obtained.

In addition, the combined variate calculation includes not only a plurality of representative values but also individual score data when the fourth invention is added,
It is used for information compression and total evaluation score calculation such as obtaining an average of individual scores when obtaining a total score for arousal of the entire physiological index. In addition to the average of a plurality of representative values or individual scores, an average multiplied by a weighting coefficient, a sum, a bivariate correlation coefficient, a factor score by factor analysis, and the like are performed as necessary. When the composite variable is a correlation coefficient, a factor score, or the like, the standard value for the composite variable is unnecessary.

Further, the level reference value used for the determination value calculation is uniformly p
When dividing into levels or when using the individual score obtained by adding the fourth invention as it is, there is no particular need to provide it. However, when dividing into different levels for each data or when factor scores are included in the individual score. When scores with different properties are mixed, it is better to provide them. Further, when it is desired to provide a different level reference value for each attribute, or when it is desired to perform correction or the like based on attribute information, an attribute search may be performed in the same manner as the standard value. Further, when the reference pattern is a representative value pattern, the level division calculation is unnecessary.

Further, in the type determination, an example has been described in which the type determination is performed by comparing and checking the pattern (LMN, LLL, HHH, etc.) of the code of the determination value classified into the levels and each code pattern of the prepared reference pattern group. (For example, the LLL pattern is type A
(Type, etc.), the determination value may be used as it is, or the level division determination unit may simply be output as pattern data.

Further, the data stored in the determination result file stores the determination value and the determination result. However, when the fourth invention is added, the personal score may be included, and the ID code may be included in the file search. (41) may be used.

Further, in the above embodiment, the message and the graph display corresponding to the determination type are shown in the output and display of the determination result, but other image information or auditory information may be used. Also,
In the case where there is past data, an example of retrieving the past data and displaying it together has been described using a flowchart. Since this can be compared with the previous data, more detailed data can be transmitted to the subject, but need not be performed at the first time or when not particularly required, and in the latter case, the determination result file does not need to be provided . .

In the presentation of the task, the contents to be presented include a start / end signal of measurement, a process selection menu, an attribute information input instruction, an item data input instruction and a question item, an instruction of rest at the time of measuring physiological index rest data and a task presentation, Instructions and task presentation in stress data measurement.

For resting tasks, simply open or close your eyes and instruct them to rest.
Music presentation, image information presentation, etc., such as M, may be performed. Although the response input unit (23) inputs the response of the person to be measured for these tasks, the response input unit (23) is not required to input them, and the response data to the tasks may be stored in a file. In addition, a startle sound or a warning sound may be generated when an error occurs during a task, or feedback of the number of errors may be performed after the task. Thereby, the stress load is more appropriately performed, and the degree of the load can be checked.

Each component of the input unit (2) may be realized by one keyboard.

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

Also, an example has been described in which the attribute information is input prior to data measurement when the fourth invention is added, but may be performed after each data measurement. In the third invention, the measurement of physiological index data and the measurement of item data are described in this order.
The order of the persons may precede either. In addition, in the data measurement in the case where the fifth invention is added, a rest issue is required.
Although the explanation was given in the order of the stress tasks, the initial data may be the subject's tension, etc., so the rest task is repeated several times, then the data at the time of stress is measured, or the rest task → the stress task is repeated several times It is better to equal. Also,
When calculating the degree of recovery in the evaluation of the reactivity, the task may be “stress task → rest task”. These settings should preferably be variable.

In the above embodiment, the stress level has been described. However, the present invention can also be applied to other stress levels and health levels, for example, a fatigue level and a comfort level as a negative stress level.

[Effects of the Invention] As described above, according to the first aspect of the present invention, a physiological index measuring means for measuring a plurality of physiological indices reflecting the degree of stress, and a representative value of each measured physiological index data are obtained. Representative value determination means, a reference pattern group for determining a stress physiological response type, a level and a pattern created from each of the representative values, and comparison and collation of each pattern with each reference pattern of the reference pattern group to determine a stress level and a stress physiological response type , A stress level determination device is constituted by a control means for controlling these operations, and a multi-faceted and highly reliable stress that copes with individual differences in physiological indices. There is an effect that the degree can be determined.

Further, according to the second aspect of the present invention, item presenting means for presenting a plurality of question items related to stress, item data inputting means for inputting respective answer information for the question items, and representatives of the input item data Representative value determining means for determining a value, a reference pattern group for stress item reaction pattern determination,
Determining means for comparing and matching levels and patterns formed from the respective representative values with respective reference patterns of the reference pattern group to determine a stress level and a stress item response type; an output means for outputting a determination result; and Since the stress degree determination device is constituted by the control means for controlling the operation of the above, there is an effect that the stress degree can be determined multifaceted and accurately using only the answer patterns for a plurality of question items related to stress as a determination material.

Further, according to the third aspect of the present invention, a physiological index measuring means for measuring a plurality of physiological indices reflecting the degree of stress, an item presenting means for presenting a plurality of question items related to stress, and respective answers to the above-mentioned question items Item data input means for inputting information; representative value determining means 1 for obtaining a representative value of each measured physiological index data; representative value determining means 2 for obtaining each representative value of the input item data; A reference pattern group, a level and a pattern created from each of the representative values, and a comparing means for comparing and comparing each pattern of the reference pattern group with each other to determine a stress level and a total stress response type; and an output for outputting a determination result. Means, and the stress degree determination device is configured by control means for controlling these operations, so that a plurality of physiological index patterns reflecting the stress degree The response pattern of multiple question items related to stress is used as a judgment material, and the degree of stress is determined as a total stress response type, such as dealing with individual differences in physiological indices, and the item response type is also evaluated. There is an effect that highly reliable stress level determination can be performed.

According to the fourth aspect of the present invention, the first to third aspects are provided.
In addition to the invention, an attribute input means for inputting attribute information of a person to be measured, and a personal score calculating means for calculating a standard value created in advance for each attribute and a score of an individual in a group are provided. For each of the above, the individual scores were calculated by taking into account the attributes of the subject, and the type determination was performed using a pattern created based on the scores. In this case, the type determination can be performed in consideration of the attribute factors described above, and there is an effect that a more reliable stress level determination can be performed.

According to the fifth aspect of the present invention, the first to third aspects are provided.
Task presenting means for presenting a stress task, reaction input means for inputting a response to the stress task, and responsiveness calculation for calculating change data from a steady state to a time of stress as responsiveness to a stress load A means is provided to calculate three representative values of the steady state, the stress state, and the reactivity for each measurement data in the steady state and the stress state, and to perform the type determination using the pattern created from these representative values. Therefore, there is an effect that more accurate measurement and highly reliable calculation of a representative value can be performed in consideration of the background mechanism.

[Brief description of the drawings]

FIG. 1 shows an embodiment of the present invention. FIG. 1 is a configuration diagram showing a stress degree judging device when the fourth and fifth inventions are added to the first invention, and FIG. 2 shows another embodiment of the present invention. By way of example, FIG. 3 is a block diagram showing a structure of a stress degree determination device when the fourth and fifth inventions are added to the second invention. FIG. 3 shows still another embodiment of the present invention. 4 (a), 4 (b) and 4 (c) are flow charts showing the operation of the first invention, and FIG. 5 is a flowchart showing the operation of the first invention. 6 (a) and 6 (b) are flow charts showing the operation when the fourth invention is added to the first invention, and FIGS. 6 (a) and 6 (b) are flow charts showing the operation when the fifth invention is added to the first invention;
FIG. 7 is a flowchart showing the operation when the fourth and fifth inventions are added to the first invention, and FIGS. 8 (a) and (b) show the operation of the second invention.
FIG. 9 is a flowchart showing the operation in the case where the fourth invention is added to the second invention.
FIGS. 10 (a) and 10 (b) are flow charts showing the operation in the case where the fifth invention is added to the second invention, and FIG. 11 is the fourth and fifth inventions added to the second invention. FIG. 12 is a flowchart showing the operation in the third case, and FIG.
FIG. 13 is a flowchart showing the operation when the fourth invention is added to the third invention, and FIGS. 14 (a) and (b) show the fifth invention in the third invention.
FIG. 15 is a flowchart showing the operation in the case where the invention of the third aspect is added, FIG. 15 is a flowchart showing the operation in the case where the fourth and fifth aspects of the invention are added to the third aspect, and FIGS. 16 (a) and (b). Is an explanatory diagram showing output results according to one embodiment of the present invention and another embodiment, FIG. 17 is a configuration diagram showing a conventional stress degree determination device,
FIG. 18 is a block diagram showing another conventional stress degree judging device. In the figure, (1) is a physiological index measuring unit, (2) is an input unit, (22) is an attribute input unit, (23) is a reaction input unit, and (24).
Is an item data input section, (3) is a representative value determining section, (31) is a representative value calculating means 1, (32) is a representative value calculating means 2, (33)
Is a 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, and (451) to (453) are reference value files 1 ~ 3,
(46) is a determination unit, (47) is a determination result output unit, (5) is an output unit, (52) is an assignment presentation unit, (53) is an item presentation unit,
(6) is a control unit. In the drawings, the same reference numerals indicate the same or corresponding parts.

 ──────────────────────────────────────────────────続 き Continuing on the front page (72) Keiko Mutsuko 3-9-9, Nishigotanda, Shinagawa-ku, Tokyo Inside Shiseido Beauty Science Laboratory Co., Ltd. (72) Mitsue Ohtsubo 3-9-1 Nishigotanda, Shinagawa-ku, Tokyo Address No. 2 Shiseido Beauty Science Research Institute Co., Ltd. (72) Inventor Hiromi Terashita 8-1-1 Tsukaguchi Honcho, Amagasaki-shi, Hyogo Pref. Mitsubishi Electric Corporation Central Research Laboratories 8-1-1, Mitsubishi Electric Corporation Central Research Laboratory (72) Inventor Futomi Shimono 8-1-1, Tsukaguchi Honcho, Amagasaki City, Hyogo Prefecture Mitsubishi Electric Corporation Central Research Laboratory (56) References JP-A-50- 55188 (JP, A) JP-A-1-113026 (JP, A)

Claims (5)

(57) [Claims] 1. A physiological index measuring means for measuring a plurality of physiological indices reflecting the degree of stress, a representative value determining means for obtaining a representative value of each measured physiological index data, a reference pattern group for determining a stress physiological response type, Determining means for comparing and collating the level and pattern created from each representative value with each reference pattern of the reference pattern group to determine the level of stress and the type of stress physiological response, an output means for outputting a determination result, and An apparatus for determining a degree of stress, comprising control means for controlling an operation. 2. Item presenting means for presenting a plurality of question items related to stress, item data input means for inputting respective answer information for the question items, representative value determining means for obtaining respective representative values of the input item data, Stress item reaction pattern determination reference pattern group, a level and a pattern created from each of the representative values, and a determination unit for comparing and comparing the pattern and each reference pattern of the reference pattern group to determine a stress level and a stress item response type, A stress determination device including an output unit that outputs a determination result and a control unit that controls these operations. 3. A physiological index measuring means for measuring a plurality of physiological indices reflecting the degree of stress, an item presenting means for presenting a plurality of question items relating to stress, and an item data inputting means for inputting respective answer information to the question items. Representative value determining means 1 for obtaining a representative value of each measured physiological index data;
Representative value determining means 2 for obtaining each representative value of the input item data, a reference pattern group for determining the overall response type of stress, a level and a pattern created from the above representative values, and comparison and collation with each reference pattern of the above reference pattern group. Determining means for determining the level of stress and the type of overall response to stress,
A stress determination device including an output unit that outputs a determination result and a control unit that controls these operations. 4. An attribute input means for inputting attribute information of a person to be measured, and a personal score calculating means for calculating a standard value created in advance for each attribute and a score of an individual in a group,
4. A method of scoring each representative value in consideration of the attribute of the person to be measured to obtain an individual score, and performing a type determination using a pattern created based on the score.
The stress degree determination device according to the above. 5. A task presenting means for presenting a stress task,
A response input unit for inputting a response to the stress task; and a reactivity calculation unit for calculating change data from a steady state to a stress as a response to a stress load. 5. The stress degree determination device according to claim 1, wherein three types of representative values are calculated for state, stress, and reactivity, and the type is determined using a pattern created from these representative values.