JP2017213278A - Mental health evaluation apparatus, method, and program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a mental health evaluation apparatus, method, and program capable of evaluating the mental health of a subject in daily activities under near-natural conditions.SOLUTION: A mental health evaluation apparatus MH according to the present invention: acquires predetermined biological signals associated with heartbeat fluctuations of a subject; obtains stress indices at a predetermined time interval, on the basis of the predetermined biological signals; acquires the contents of actions of the subject during the stress indices being obtained; and then causes a mental health evaluation unit 127 to evaluate the mental health of the subject at each of at least two or more time points different from each other, on the basis of the plurality of obtained stress indices and the contents of the plurality of acquired actions. The mental health evaluation unit 127 selects the plurality of time points on the basis of at least a first fluctuation pattern out of the first fluctuation pattern in the plurality of obtained stress indices and a second fluctuation pattern in the contents of the plurality of acquired actions.SELECTED DRAWING: Figure 2

Description

  The present invention relates to a mental health evaluation apparatus, a mental health evaluation method, and a mental health evaluation program for evaluating mental health.

  The modern society is called a stress society, and people living in social life are exposed to various stresses. For this reason, there is a need to manage mental health (mental health, mental health, mental health) in order to prevent mental and physical health from being damaged by stress. In order to carry out this mental health management, it is first necessary to evaluate the mental health. An example of such a technique is disclosed in Patent Document 1, for example.

  The psychiatric symptom and psychiatric disease onset risk evaluation apparatus using the heart rate variability index disclosed in Patent Document 1 includes a frequency analysis apparatus and a random number generation analysis apparatus, and the frequency analysis apparatus includes a heart rate measuring instrument, a heartbeat interval An interval measuring device, a frequency analyzer, a sympathetic / parasympathetic nerve index analyzer, and a psychiatric symptom / psychiatric disease risk calculator, the random number generation and analysis device includes a random number input unit, a random number score A subject including a calculation unit and a display unit, wherein the subject is measured in each of the subject's resting state, task performing state, and resting state after performing the task. A frequency analysis of heart rate values and inter-beat interval measurements is performed to calculate a high frequency index, a low frequency index, and a ratio thereof, and the psychiatric symptom / psychiatric risk calculator includes a storage unit and a comparison unit. In the storage unit, a high frequency obtained from frequency analysis of a heart rate value and a heartbeat interval measurement value of a healthy person measured in advance in each of a rest state, a task performance state, and a rest state after the task performance. A threshold value set based on the index, the low frequency index, and the ratio thereof is stored, and the comparison unit compares the threshold value with the high frequency index, the low frequency index and the ratio of the subject. The presence or absence of a predetermined psychiatric symptom and the risk of developing a psychiatric disorder are determined depending on whether or not the threshold value is exceeded.

JP2013-233256A

  By the way, the psychiatric symptom and psychiatric disease onset risk evaluation apparatus using the heart rate variability index disclosed in Patent Document 1 is in each of a subject's resting state, task performing state, and resting state after performing the task. Based on each measured data, the presence or absence of psychiatric symptoms and the risk of developing a psychiatric disorder in the subject are determined. By intentionally giving a stress task that gives stress in this way, the subject is performing from the resting state to the task performing state, so the subject is prepared to give the stress task and the subject's natural It cannot be measured in the state. Moreover, what is called a familiarity arises in a test subject with respect to the intentional situation produced in this way, For this reason, the evaluation precision will deteriorate.

  The present invention has been made in view of the above circumstances, and its purpose is to provide a mental health evaluation apparatus and a mental health evaluation method capable of evaluating mental health in a state close to nature in the daily activities of the subject. And provide a mental health assessment program.

  As a result of various studies, the present inventor has found that the above object is achieved by the present invention described below. That is, the mental health evaluation apparatus according to one aspect of the present invention includes a biological signal acquisition unit that acquires a predetermined biological signal related to heart rate variability measured from a subject, and the predetermined signal acquired by the biological signal acquisition unit. A stress index calculation unit that obtains a stress index at a predetermined time interval based on a biological signal and an action acquisition unit that obtains the action content of the target person when the stress index calculation unit obtains the stress index are different from each other , Mental health for evaluating the mental health of the target person based on a plurality of stress indexes obtained by the stress index calculation unit and a plurality of action contents acquired by the action acquisition unit at each of at least two or more time points An evaluation unit, wherein the mental health evaluation unit includes a plurality of stress indicators obtained by the stress indicator calculation unit. 1 variation pattern, and, based on at least the first fluctuation pattern of the second variation pattern in a plurality of action contents acquired by the behavior acquisition unit, characterized by selecting said plurality of time points. Preferably, in the above-described mental health evaluation apparatus, the behavior acquisition unit includes the behavior schedule of the target person managed by a server device, the position acquired from the GPS of the target person, and the exercise of the target person The action content of the subject is obtained and acquired using at least one of the exercise states of the subject measured by the exercise state measuring device for measuring the state. Preferably, in the above-described mental health evaluation device, the behavior acquisition unit acquires the behavior content of the subject from a server device that manages the behavior schedule of the subject. Preferably, the above-described mental health evaluation apparatus further includes a schedule storage unit that stores the behavior schedule of the target person, and the behavior acquisition unit acquires the action content of the target person from the schedule storage unit. Preferably, the above-described mental health evaluation apparatus further includes a position-behavior conversion information storage unit that stores position information and action contents in association with each other, and the action acquisition unit obtains position information from the GPS of the target person. The action content corresponding to the acquired position information is acquired from the position action conversion information storage unit. Preferably, in the above-described mental health evaluation device, the behavior acquisition unit acquires the exercise state from an exercise state measurement device that measures the exercise state of the subject, and based on the acquired exercise state, the behavior of the subject Get action content.

  Such a mental health evaluation apparatus uses the subject's behavior content as a stress task, and evaluates the subject's mental health based on a plurality of stress indicators and a plurality of behavior content at each of at least two or more time points. , Mental health can be evaluated in the natural state of the subject. In particular, when the mental health evaluation apparatus selects the plurality of time points based on the first variation pattern in the plurality of stress indicators and the second variation pattern in the plurality of action contents, the mental health evaluation is performed. The apparatus can automatically detect the second variation pattern of the action content suitable for mental health judgment among the first variation patterns of the stress index that naturally occurs in the daily life of the subject, and the detected first Since the mental health state is evaluated by comparing the displacement (difference) of the stress index in the two fluctuation patterns, the posture and habituation of the subject cannot occur, and the accuracy can be improved. Moreover, since the mental health evaluation apparatus can change the variation pattern of the comparison target in the mental health evaluation for each target person, it can cope with individual differences.

  In another aspect, in the above-described mental health evaluation apparatus, the mental health evaluation unit selects one of the unselected time points in the plurality of time points based on the first variation pattern. And

  Such a mental health evaluation apparatus can evaluate the mental health in a predetermined first variation pattern, for example, when low stress is applied to low stress through high stress.

  According to another aspect, in the above-described mental health evaluation apparatus, the mental health evaluation unit selects one of the unselected time points in the plurality of time points based on the second variation pattern. Features. Preferably, in the above-described mental health evaluation apparatus, a first time point among the plurality of time points is selected based on the first variation pattern, and a second time point that is different from the first time point among the plurality of time points. Is selected based on the second variation pattern.

  Such a mental health evaluation apparatus can evaluate mental health with the same second variation pattern at different points in time.

  In another aspect, in the above-mentioned mental health evaluation apparatus, the behavior content is two types of high stress behavior and low stress behavior.

  Such a mental health evaluation apparatus has two types of behavior contents, high stress behavior and low stress behavior. Therefore, not only the first variation pattern but also the second variation pattern can be selected based on the variation of stress. In particular, even with the same action content, the stress is different depending on the individual, such that a certain person is highly stressed while another certain person is low stressed. Moreover, even if it is the same action content and the same person, it may change from high stress to low stress by the number of experiences. Therefore, by assigning either one of high stress action and low stress action to the action content according to how the stress is applied for each individual, such a mental health evaluation apparatus can make the second variation more suitable for the individual. Patterns can be applied to mental health assessments and their accuracy can be improved.

  In another aspect, in the above-described mental health evaluation apparatus, the first variation pattern is a pattern in which a stress index changes from a first low stress to a second low stress through a high stress, and the mental health The evaluation unit obtains a first difference between the stress index value of the high stress and the stress index value of the second low stress of the first variation pattern at the first time point among the plurality of time points, A second difference between the value of the stress index of the high stress and the value of the stress index of the second low stress of the first fluctuation pattern at the second time point in the time point is obtained, and the second time point is greater than the first time point. If the obtained first difference is smaller than the obtained second difference, it is evaluated that the mental health at the first time point is worse than the mental health at the second time point. It is characterized in.

  This is a specific example of how to evaluate mental health.

  Moreover, the mental health evaluation method according to another aspect of the present invention includes a biological signal acquisition step of acquiring a predetermined biological signal related to heart rate variability measured from a subject, and the biological signal acquisition step. A stress index calculation step for obtaining a stress index at a predetermined time interval based on a predetermined biological signal, and an action acquisition step for acquiring the action content of the subject in obtaining the stress index in the stress index calculation step; The mental health of the target person is evaluated based on a plurality of stress indices obtained in the stress index calculation step and a plurality of action contents obtained in the action acquisition step at each of at least two or more different time points. A mental health evaluation step, wherein the mental health evaluation step includes a plurality of mental index evaluation steps. The plurality of time points are selected based on at least the first variation pattern of the first variation pattern in the tres index and the second variation pattern in the plurality of behavior contents acquired in the behavior acquisition step. To do.

  The mental health evaluation program according to another aspect of the present invention includes a biological signal acquisition step of acquiring a predetermined biological signal related to heart rate variability measured from a subject, and a biological signal acquisition step. Based on the acquired predetermined biological signal, a stress index calculation step for obtaining a stress index at predetermined time intervals, and an action acquisition for acquiring the subject's action content when the stress index is calculated in the stress index calculation step And the mental health of the subject based on the plurality of stress indicators obtained in the stress indicator calculation step and the plurality of behavior contents obtained in the behavior acquisition step at each of at least two or more time points different from each other. This is a mental health evaluation program for executing the mental health evaluation process for evaluating The mental health evaluation step includes at least the first variation pattern in the plurality of stress indicators obtained in the stress indicator calculation step and the second variation pattern in the plurality of behavior contents obtained in the behavior acquisition step. The plurality of time points are selected based on one variation pattern.

  Such a mental health evaluation method and a mental health evaluation program use the subject's behavior as a stress task, and based on the plurality of stress indicators and the plurality of behavior at each of at least two or more time points. Since the health is evaluated, the mental health can be evaluated in a natural state of the target person. In particular, when the mental health evaluation method and the mental health evaluation program select the plurality of time points based on the first variation pattern in the plurality of stress indicators and the second variation pattern in the plurality of action contents. The mental health evaluation method and the mental health evaluation program include a second variation pattern of action content suitable for mental health judgment among the first variation patterns of stress indicators that occur naturally in the daily life of the subject. Since the mental health state is evaluated by comparing the displacement (difference) of the stress index in the detected second variation pattern, the posture and familiarity of the subject cannot be generated, and the accuracy can be improved. Can be improved. Moreover, since the mental health evaluation method and the mental health evaluation program can change the variation pattern of the comparison target in the mental health evaluation for each target person, it can cope with individual differences.

  The mental health evaluation apparatus, the mental health evaluation method, and the mental health evaluation program according to the present invention can evaluate mental health in a state close to nature in the daily activities of the subject.

It is a figure which shows the structure of the mental health evaluation system in embodiment. It is a figure which shows the structure of the mental health evaluation apparatus used for the said mental health evaluation system. It is a figure which shows the structure of the stress parameter | index log information table memorize | stored in the said mental health evaluation apparatus. It is a figure which shows the structure of the measurement terminal device used for the said mental health evaluation system. It is a flowchart which shows the recording operation | movement of the stress parameter | index in the said mental health evaluation apparatus. It is a flowchart which shows the mental health evaluation operation | movement in the said mental health evaluation apparatus. It is a figure for demonstrating the extraction process of the 1st time in the said mental health evaluation apparatus. It is a figure for demonstrating the calculation method of the displacement (difference) of the stress parameter | index in the said mental health evaluation apparatus. It is a figure which shows the displacement (difference) of a stress parameter | index as an example. It is a figure for demonstrating the extraction process of the 2nd thru | or 4th time in the said mental health evaluation apparatus. It is a figure for demonstrating the acquisition process of the action content using an acceleration sensor. It is a figure for demonstrating the extraction process of each time point only by a 1st fluctuation pattern.

  Hereinafter, an embodiment according to the present invention will be described with reference to the drawings. In addition, the structure which attached | subjected the same code | symbol in each figure shows that it is the same structure, The description is abbreviate | omitted suitably. In the present specification, when referring generically, it is indicated by a reference symbol without a suffix, and when referring to an individual configuration, it is indicated by a reference symbol with a suffix.

  FIG. 1 is a diagram illustrating a configuration of a mental health evaluation system in the embodiment. FIG. 2 is a diagram showing a configuration of a mental health evaluation apparatus used in the mental health evaluation system. FIG. 3 is a diagram showing a configuration of a stress index log information table stored in the mental health evaluation apparatus. FIG. 4 is a diagram illustrating a configuration of a measurement terminal device used in the mental health evaluation system.

  The mental health evaluation system MS in the embodiment is a system for evaluating the mental health of a subject. In the present embodiment, mental health is evaluated by a known stress index ("Science of stress and autonomic nerve", [online], [April 19, 2016 search], Internet (URL: http: // hcl. sakura.ne.jp/stress_novice_LFHF.html)). The definition of stress is the degree and balance of tension between the sympathetic nerve and the parasympathetic nerve. If the sympathetic nerve is in a tension state, it is "stress state". . The stress index uses the LF (low frequency) fluctuation wave and the HF (high frequency) fluctuation wave appearing on the heart rate variability depending on the balance of the tension state between the sympathetic nerve and the parasympathetic nerve. Thus, the balance of the autonomic nerve is estimated from the heart rate variability, the stress is evaluated, and the index value is obtained. More specifically, the power spectrum of the time-series data of heart rate variability is obtained, and LF is obtained by summing (integrating) the intensity of the LF component region (0.05 Hz to 0.15 Hz) of the power spectrum. The HF representing the degree of parasympathetic nerve tension is obtained by adding (integrating) the intensities of the HF component region (0.15 Hz to 0.40 Hz) of the power spectrum.

  A mental health evaluation system MS that evaluates the mental health of a subject using such a stress index is, for example, as shown in FIG. 1, a measurement terminal device ST, a schedule management server device SS, and a mental health evaluation device MH. And the display terminal device DT, and the measurement terminal device ST, the schedule management server device SS, the mental health evaluation device MH, and the display terminal device DT are communicably connected to each other via the network NW.

  The network NW may be, for example, a public line network, and may be a LAN (Local Area Network), for example. The network NW may be wired, for example, wireless, or may be a mixture of wired and wireless. The network NW may be provided with repeaters such as repeaters, bridges, and routers that relay communication signals. In one example, the network NW is a public data communication network, and in another example, the network NW is a LAN according to the IEEE 802.11 standard.

  The measurement terminal device ST is provided in association with a subject who is an evaluation target of mental health, measures a predetermined biological signal related to heart rate variability in the subject in order to obtain a stress index by the mental health evaluation device MH, This is a device that transmits the measured biological signal of the subject to the mental health evaluation device MH via the network NW. In addition, when each mental health in a some subject person is evaluated, the some measurement terminal device ST is prepared, and each of the some measurement terminal device ST is provided corresponding to each of a some subject person. For example, as shown in FIG. 4, the measurement terminal device ST includes a biological signal measurement unit 21, a measurement terminal device side control processing unit (ST control processing unit) 22, and a measurement terminal device side storage unit (ST storage). Section) 23 and a measurement terminal apparatus side communication interface section (ST communication IF section) 24.

  The biological signal measurement unit 21 is connected to the ST control processing unit 22, measures a predetermined biological signal related to heart rate variability in the subject under the control of the ST control processing unit 22, and uses the measured biological signal as the ST control processing unit. 22 is a circuit for outputting to the circuit 22. The predetermined biological signal may be any signal as long as it includes a component of heart rate variability. For example, the predetermined biological signal is an electrocardiogram, and the biological signal measurement unit 21 includes an electrocardiograph. For example, the predetermined biological signal is a pulse wave, and the biological signal measuring unit 21 is, for example, a photoelectric pulse wave meter. This photoelectric pulse wave meter irradiates light to a predetermined part (for example, a finger or a forehead) in the body, and receives light (working light) reflected or transmitted through the predetermined part. The accompanying change in the volume of the blood vessel is measured by the intensity change of the working light. Further, for example, the biological signal measurement unit 21 is a pressure type pulse wave meter, for example. This pressure type pulse wave meter measures a change in blood pressure due to pulsation by attaching a pressure-sensitive element to a predetermined part of the body (for example, a wrist or a neck). The biological signal measurement unit 21 and the ST control processing unit 22 may be wired connection or wireless connection.

  The ST communication IF unit 24 is a communication circuit that is connected to the ST control processing unit 22 and performs communication according to the control of the ST control processing unit 22. The ST communication IF unit 24 generates a communication signal containing data to be transferred input from the ST control processing unit 22 according to a communication protocol used in the network NW of the mental health evaluation system MS, and the generated communication signal Is transmitted to the mental health evaluation apparatus MH via the network NW. The ST communication IF unit 24 receives a communication signal from the mental health evaluation apparatus MH via the network NW, extracts data from the received communication signal, and has a format in which the ST control processing unit 24 can process the extracted data. The data is converted and output to the ST control processing unit 24. In one example, the ST communication IF unit 24 includes a data communication card that performs data communication. In another example, the ST communication IF unit 24 includes a communication interface circuit that conforms to the IEEE 802.11 standard or the like.

  The ST storage unit 23 is a circuit that is connected to the ST control processing unit 22 and stores various predetermined programs and various predetermined data under the control of the ST control processing unit 22. The various predetermined programs include, for example, a control program for controlling each part of the measurement terminal device ST according to the function of each part, or the biological signal measurement unit 21 to measure the biological signal of the subject, and this measurement. A control processing program such as a measurement transmission program for transmitting a time-series biological signal having a predetermined time length to the mental health evaluation apparatus MH via the network NW is included. The various kinds of predetermined data include, for example, data necessary for executing each program such as a time-series biological signal of a predetermined time length measured by the biological signal measuring unit 21 and a communication address of the mental health evaluation apparatus MH. Is included. The ST storage unit 23 includes, for example, a ROM (Read Only Memory) that is a nonvolatile storage element, an EEPROM (Electrically Erasable Programmable Read Only Memory) that is a rewritable nonvolatile storage element, and the like. The ST storage unit 23 includes a RAM (Random Access Memory) that serves as a working memory of the so-called ST control processing unit 22 that stores data generated during the execution of the predetermined program.

  The ST control processing unit 22 controls each unit of the measurement terminal device ST according to the function of each unit, measures the biological signal of the subject using the biological signal measuring unit 21, and measures the measured biological signal of the subject. Is transmitted to the mental health evaluation apparatus MH via the network NW. The ST control processing unit 22 includes, for example, a CPU (Central Processing Unit) and its peripheral circuits.

  Such a measurement terminal device ST is, for example, a photoelectric pulse wave meter, for example, a smartphone or tablet type connected to the photoelectric pulse wave meter in a wired or wireless manner (for example, short-range wireless communication such as Bluetooth (registered trademark) standard). It can be configured by a portable terminal such as a computer.

  The schedule management server device SS receives the schedule of the subject person, for example, from the measurement terminal device ST via the network NW, stores and manages the received schedule of the subject person, and, for example, via the network NW, for example, the measurement terminal device ST Or a mental health evaluation apparatus MH or the like, a server apparatus that accepts a request from a client apparatus and provides (replies) the schedule of the target person. The schedule is information in which action content and its start time and end time are associated with each other, and measures an object person (for example, an identifier (object object ID) for identifying and identifying the object person or a biological signal of the object person). Is stored in association with an identifier (measuring terminal ID)) for identifying and identifying the measuring terminal device ST to be identified. Such a schedule management server device SS can be configured by, for example, a computer with a communication function. The action content is represented by, for example, the type of action, and may be any action in daily life, social life, etc., for example, meal, commuting, attending school, working, learning, meeting, business trip, visit, break and sleep Etc.

  The display terminal device DT is a device that receives a predetermined instruction from the user, transmits it to another device via the network NW, and receives and displays the result from the other device via the network NW. For example, the display terminal device DT receives an instruction to start an evaluation of mental health by the user together with the subject who is the target of the evaluation, and transmits the instruction to the mental health evaluation device MH via the network NW. The evaluation result of mental health is received and displayed via the network NW. Such a display terminal device DT can be configured by a mobile terminal such as a smartphone or a tablet computer.

  The mental health evaluation device MH is a device that evaluates the mental health of the subject. More specifically, the mental health evaluation device MH acquires the subject's biological signal from the measurement terminal device ST via the network NW, and based on the acquired biological signal, calculates a stress index at predetermined time intervals. In this case, the action content of the target person is acquired from the schedule management server device SS via the network NW, the stress index and the action content in the target person are stored in association with each other, and the network is displayed from the display terminal device DT. When an instruction to evaluate the mental health of the subject is received via the NW, the mental health of the subject is determined based on the stored stress index and action content of the subject at each of at least two or more different time points. Evaluate health. The plurality of points in time are at least the first variation pattern in the plurality of stress indexes obtained for the subject and the second variation pattern in the plurality of behavior contents acquired for the subject. It is selected based on the fluctuation pattern. Such a mental health evaluation apparatus MH includes, for example, as shown in FIG. 2, a mental health evaluation apparatus side communication interface section (MH communication IF section) 11 and a mental health evaluation apparatus side control processing section (MH control processing section). 12 and a mental health evaluation device side storage unit (MH storage unit) 13.

  Similar to the ST communication IF unit 24, the MH communication IF unit 11 is a communication circuit that is connected to the MH control processing unit 12 and performs communication according to the control of the MH control processing unit 12. In one example, the MH communication IF unit 11 includes a data communication card that performs data communication. In another example, the MH communication IF unit 11 includes a communication interface circuit that complies with the IEEE 802.11 standard or the like.

  The MH storage unit 13 is a circuit that is connected to the MH control processing unit 12 and stores various predetermined programs and various predetermined data under the control of the MH control processing unit 12. The various predetermined programs include, for example, an MH control program for controlling each part of the mental health evaluation apparatus MH according to the function of each part, and a measurement from the measurement terminal apparatus ST via the network NW. In addition, a biological signal acquisition processing program that acquires a predetermined biological signal related to heart rate variability, and a stress index calculation that obtains a stress index at predetermined time intervals based on the predetermined biological signal acquired by the biological signal acquisition processing program A program, an action acquisition processing program that acquires the action content of the target person when obtaining the stress index by the stress index calculation program, from the schedule management server device SS via the network NW, and time / date / time It was obtained from the timekeeping program or the stress index calculation program. The stress index described below in the MH storage unit 13 as stress index log information by associating the stress index of the elephant, the action content of the target person acquired by the action acquisition processing program, and the year / month / day / hour / date acquired from the clock program with each other A recording processing program stored in the log information storage unit 131 and a plurality of stress indices obtained by the stress index calculation program and a plurality of actions acquired by the action acquisition processing program at each of a plurality of different time points that are different from each other A control processing program such as a mental health evaluation program for evaluating the mental health of the subject based on the contents is included. The mental health evaluation program includes at least the first variation pattern in the plurality of stress indexes obtained by the stress index calculation program and the second variation pattern in the plurality of behavior contents acquired by the behavior acquisition processing program. An extraction processing program that selects and extracts at least two or more time points that are different from each other based on the first variation pattern, and a plurality of stress indicators at each of the plurality of time points that are selected and extracted by the extraction processing program And an evaluation program for evaluating the mental health of the subject based on a plurality of action contents, an output processing program for outputting (replying) the evaluation result obtained by the evaluation program to the display terminal device DT via the network NW, and the like Is included. The various predetermined data include, for example, measurement terminal information representing a correspondence relationship between the subject ID and the measurement terminal ID, subject information such as the sex age of the subject, the measurement terminal device ST and the schedule management server device SS. Data necessary for executing each program such as a communication address and stress index log information are included. The MH storage unit 13 includes, for example, a ROM that is a nonvolatile storage element, an EEPROM that is a rewritable nonvolatile storage element, and the like. The MH storage unit 13 includes a RAM that serves as a working memory of the so-called MH control processing unit 12 that stores data generated during execution of the predetermined program. The MH storage unit 13 may include a hard disk device that can store a relatively large amount of data.

  The MH storage unit 13 functionally includes a stress index log information storage unit 131 in order to store the stress index log information. In this embodiment, the stress index log information is stored in the stress index log information storage unit 131 in a table format. For example, as shown in FIG. 3, the stress index log information table SAT for registering the stress index log information includes a time field 1311 for registering year, month, day, hour and minute, an action field 1312 for registering action contents, and a first stress. The first stress index field 1313 for registering the index value of the index and the second stress index field 1314 for registering the index value of the second stress index are provided, and a record is provided for each calculation of the stress index. In this embodiment, the stress index includes two first and second stress indices, and the first stress index is LF / HF (frequency component ratio, sympathetic nerve) calculated as one of the stress indices. The second stress index is HF (high frequency component, parasympathetic nerve) calculated as another one of the stress indices. Such a stress index log information table SAT is provided for each target person in association with the target person, and is stored in the stress index log information storage unit 131.

  The MH control processing unit 12 controls each unit of the mental health evaluation apparatus MH according to the function of each unit, acquires the biological signal of the subject from the measurement terminal device ST via the network NW, and acquires the acquired biological signal. Based on the above, the stress index is obtained at predetermined time intervals, the action content of the target person is acquired from the schedule management server device SS via the network NW, and the stress index and the action content in the target person are mutually obtained. When the mental health evaluation instruction of the subject person is received from the display terminal device DT via the network NW, the stored stress index in the subject person is stored at each of at least two or more different time points. And the mental health of the target person based on the action content. That. The MH control processing unit 12 includes, for example, a CPU and its peripheral circuits. When the control processing program is executed, the MH control processing unit 12 performs a mental health evaluation apparatus side control unit (MH control unit) 121, a biological signal acquisition processing unit 122, a stress index calculation unit 123, and an action acquisition processing unit 124. The clock unit 125, the recording processing unit 126, and the mental health evaluation unit 127 are functionally provided, and the mental health evaluation unit 127 is functionally provided with an extraction processing unit 1271, an evaluation unit 1272, and an output processing unit 1273.

  The MH control unit 121 controls each part of the mental health evaluation apparatus MH according to the function of each part, and governs overall control of the mental health evaluation apparatus MH.

  The biological signal acquisition processing unit 122 acquires a predetermined biological signal related to heartbeat variability measured from the subject via the network NW from the measurement terminal device ST.

  Based on the predetermined biological signal acquired by the stress index calculation unit 123 and the biological signal acquisition processing unit 122, the stress index is obtained at predetermined time intervals. The predetermined time interval is arbitrary, and is appropriately set according to the mental health time resolution to be evaluated, for example, 3 minutes, 5 minutes, 10 minutes, 20 minutes, 30 minutes, 60 minutes, or the like. . In the present embodiment, a first stress index (LF / HF) and a second stress index (HF) are obtained as the stress index.

  The behavior acquisition processing unit 124 acquires the behavior content of the target person when the stress index calculation unit 123 obtains the stress index from the schedule management server device SS via the network NW.

  The clock unit 125 measures the date and time.

  The recording processing unit 126 associates the subject's stress index obtained by the stress index calculating unit 123, the subject's behavior content acquired by the behavior acquisition processing unit 124, and the year / month / date / time obtained from the clock unit 125 with each other. This information is stored in the stress index log information storage unit 131 as stress index log information. More specifically, the recording processing unit 126 creates a new record in the stress index log information table SAT, and the time field 1311, the action field 1312, the first stress index field 1313, and the second record in the newly created record. In each of the stress index fields 1314, the above-described year, month, day, and hour acquired from the clock unit 125, the behavior content of the subject acquired by the behavior acquisition processing unit 124, and the first stress index obtained by the stress index calculation unit 123 are stored. Each of the second stress index is registered.

  The mental health evaluation unit 127 is based on a plurality of stress indices obtained by the stress index calculation unit 123 and a plurality of action contents acquired by the action acquisition processing unit 124 at each of a plurality of different time points that are different from each other. It evaluates the mental health of the target person. Such processing is executed by the extraction processing unit 1271, the evaluation unit 1272, and the output processing unit 1273.

  The extraction processing unit 1271 includes at least the first variation pattern in the plurality of stress indexes obtained by the stress index calculation unit 123 and the second variation pattern in the plurality of behavior contents acquired by the behavior acquisition processing unit 124. Based on the variation pattern, at least two or more time points different from each other are selected and extracted. More specifically, the extraction processing unit 1271 of the mental health evaluation unit 127 selects one of the unselected time points among the plurality of time points based on the first variation pattern. The extraction processing unit 1271 of the mental health evaluation unit 127 selects one of the unselected time points among the plurality of time points based on the second variation pattern. Preferably, the extraction processing unit 1271 of the mental health evaluation unit 127 selects a first time point among the plurality of time points based on the first variation pattern, and the first time point among the plurality of time points A different second time point is selected based on the second variation pattern.

  The evaluation unit 1272 evaluates the mental health of the target person based on a plurality of stress indexes and a plurality of action contents at each of the plurality of time points selected and extracted by the extraction processing unit 1271. More specifically, the first variation pattern is a pattern in which the stress index changes from the first low stress to the second low stress through the high stress, and the evaluation unit 1272 of the mental health evaluation unit 127 includes the plurality of time points. A first difference between the value of the stress indicator of the high stress and the value of the stress index of the second low stress of the first variation pattern at the first time point is obtained, and the first difference at the second time point among the plurality of time points is obtained. When a second difference between the value of the stress index of the high stress and the value of the stress index of the second low stress of one fluctuation pattern is obtained, and the second time point is earlier than the first time point in time When the obtained first difference is smaller than the obtained second difference, it is evaluated that the mental health at the first time point is worse than the mental health at the second time point.

  The output processing unit 1273 outputs (replies) the evaluation result obtained by the evaluation unit 1272 to the display terminal device DT via the network NW.

  Here, in the mental health evaluation apparatus MH having such a configuration, the biological signal acquisition processing unit 122 of the MH communication IF unit 11 and the MH control processing unit 12 is a predetermined biological body related to heart rate variability measured from the subject. The MH communication IF unit 11 and the behavior acquisition processing unit 124 of the MH control processing unit 12 correspond to an example of a biological signal acquisition unit that acquires a signal. This corresponds to an example of an action acquisition unit that acquires action contents.

  The mental health evaluation device MH is connected to the MH control processing unit 12 as necessary, as shown by a broken line in FIG. 2, for example, a mental health evaluation device side input unit for inputting various commands, various data, and the like. (MH input unit) 14, mental health evaluation apparatus side output unit (MH output unit) 15 that outputs various commands and various data input by the MH input unit 14, and data input / output with external devices There may be provided a mental health evaluation device side interface unit (MHIF unit) 16 or the like.

  Such a mental health evaluation apparatus MH can be configured by, for example, a computer with a communication function.

  Next, the operation of this embodiment will be described. FIG. 5 is a flowchart showing a stress index recording operation in the mental health evaluation apparatus. FIG. 6 is a flowchart showing the mental health evaluation operation in the mental health evaluation apparatus. FIG. 7 is a diagram for explaining extraction processing at the first time point in the mental health evaluation apparatus. FIG. 8 is a diagram for explaining a method of calculating a stress index displacement (difference) in the mental health evaluation apparatus. FIG. 9 is a diagram illustrating the displacement (difference) of the stress index as an example. FIG. 10 is a diagram for explaining extraction processing at second to fourth time points in the mental health evaluation apparatus. In the following, first, the stress index recording operation will be described, and then the mental health evaluation operation will be described. It is assumed that the schedule of the target person is stored in the schedule management server device SS.

  In the mental health evaluation system MS having the above-described configuration, each device ST, SS, DT, and MH performs initialization of each necessary unit and starts its operation when the power is turned on. In the mental health evaluation apparatus MH, by executing the control processing program, the MH control processing unit 12 includes the MH control unit 121, the biological signal acquisition processing unit 122, the stress index calculation unit 123, the behavior acquisition processing unit 124, and the clock unit 125. The recording processing unit 126 and the mental health evaluation unit 127 are functionally configured, and the mental health evaluation unit 127 is functionally configured with an extraction processing unit 1271, an evaluation unit 1272, and an output processing unit 1273.

  When the operation starts, the measurement terminal device ST measures the biological signal by the biological signal measuring unit 21 at a predetermined sampling interval, and measures the data capacity of the biological signal that can be accommodated in one communication signal (for example, one communication signal). Measurement time ID), a communication signal (biological signal notification communication signal) containing the measurement terminal ID (or subject ID) and the measured biological signal is generated, and the generated biological signal notification communication signal is subjected to mental health evaluation. Transmit to device MH. The measurement terminal device ST performs measurement of such a biological signal, generation of a biological signal notification communication signal, and transmission of the biological signal notification communication signal to the mental health evaluation device until the operation is stopped, such as power off. Repeat each action.

  On the other hand, when the operation is started, in the recording operation of the stress index, the mental health evaluation device MH waits for reception of the biological signal notification communication signal by the biological signal acquisition processing unit 122 of the MH control processing unit 12 in FIG. (S11) When the biological signal notification communication signal is received, the terminal device ID, the biological signal, and the reception time accommodated in the received biological signal notification communication signal are associated with each other and stored in the MH storage unit 13 (S12).

  Next, the mental health evaluation device MH determines whether or not a predetermined time has elapsed from the previous calculation of the stress index by the stress index calculation unit 123 of the MH control processing unit 12. As a result of this determination, when the predetermined time has not elapsed (No), the mental health evaluation apparatus MH returns the process to the process S11 by the MH control processing unit 12. That is, each process of the process S11 to the process S13 is repeated until the predetermined time elapses from the previous calculation of the stress index, and the biological signal is stored and accumulated in the MH storage unit 13 in time series. On the other hand, when the predetermined time has passed as a result of the determination (Yes), the mental health evaluation device MH executes the next process S14 by the stress index calculation unit 123 of the MH control processing unit 12. To do.

  In this process S14, the stress index calculation unit 123 performs the stress index for each measurement terminal ID, that is, for each subject, based on the biological signal stored in the MH storage unit 13, in the present embodiment, the first stress index. (LF / HF) and a second stress index (HF) are obtained.

  Next, the mental health evaluation device MH acquires the current time from the clock unit 125 by the action acquisition processing unit 124 of the MH control processing unit 12, and for each measurement terminal ID, that is, for each subject, By transmitting a communication signal (action content request communication signal) containing an instruction (command, command) for requesting the action content of the subject corresponding to the current time to the schedule management server device SS, and receiving a reply The action content (for example, action type name) of the target person at the current time is acquired (S15).

  Next, the mental health evaluation device MH uses the recording processing unit 126 of the MH control processing unit 12 to obtain the subject's stress index obtained by the stress index calculation unit 123 and the behavior of the subject acquired by the behavior acquisition processing unit 124. The contents and the date acquired from the clock unit 125 are associated with each other and stored and recorded in the stress index log information storage unit 131 as stress index log information. More specifically, the recording processing unit 126 creates a new record in the stress index log information table SAT, and the time field 1311, the action field 1312, the first stress index field 1313, and the second record in the newly created record. In each of the stress index fields 1314, the current time acquired in the process S15, the action content acquired in the process S15, the first stress index (LF / HF) determined in the process S14, and the second stress index determined in the process S14 ( HF) Register each one.

  Next, the mental health evaluation device MH determines whether the operation of the own device MH is stopped (end of mental health evaluation) by the MH control processing unit 12. As a result of this determination, if the operation is stopped (Yes), the mental health evaluation device MH ends the present process. On the other hand, if the operation is not stopped (No), the mental health evaluation device The MH causes the MH control processing unit 12 to return the process to step S11. Therefore, at the predetermined time interval, the stress index of the target person is calculated, and the action content of the target person at that time is acquired, and the date and time, the action content of the target person and the stress index of the target person are acquired. Are associated with each other and stored (recorded) in the stress index log information storage unit 131 and accumulated.

  In the recording operation of the stress index, the mental health evaluation device MH operates in this way.

  Next, in the mental health evaluation operation, the mental health evaluation device MH receives an evaluation instruction communication signal from the display terminal device DT via the network NW by the mental health evaluation unit 127 of the MH control processing unit 12 in FIG. When a request instruction for mental health evaluation is received by receiving (S21), the first time point is extracted and selected (S22). The evaluation instruction communication signal is transmitted when the display terminal device DT accepts an input operation of an instruction for requesting mental health evaluation by a user (operator), for example, and the evaluation instruction communication signal is used to specify a target person The subject ID (or measurement device ID) is accommodated, and the instruction (command, command) for requesting the mental health evaluation is accommodated. As described above, the mental health evaluation operation is started at an arbitrary timing by the user.

  More specifically, in this process S22, the mental health evaluation unit 127 uses the extraction processing unit 1271 to select the first time point T1 among the multiple time points at which the stress index is calculated based on the first variation pattern. More specifically, the extraction processing unit 1271 stores the stress indicator log stored in the stress indicator log information storage unit 131 corresponding to the subject ID accommodated in the evaluation instruction communication signal received in step S21, that is, the measurement terminal ID. From a plurality of time-series first and second stress indices (LF / HF, HF) registered in the first and second stress index fields 1313 and 1314 in the information table SAT, respectively, from the first low stress to the high stress. The first variation pattern that becomes the second low stress is retrieved. Then, the extraction processing unit 1271 selects and extracts the time point when the first variation pattern is searched as the first time point T1. Low stress is a case where the first stress index (LF / HF, sympathetic nerve) is relatively low and the second stress index (HF, parasympathetic nerve) is relatively high. This is a case where the stress index is relatively high and the second stress index is relatively low. For example, when the stress index log information table SAT shown in FIG. 3 is stored in the stress index log information storage unit 131, the first and second stresses registered in the first and second stress index fields 1313 and 1314, respectively. By referring to the index, as shown in FIG. 7, each of the fourth and fifth registers “2016/3/24 10:45” and “2016/3/24 10:50” in the time field 1311 respectively. It is determined that the record is low stress, and the seventh and eighth records in which “2016/3/24 11:00” and “2016/3/24 11:05” are registered in the time field 1311 are determined to be high stress. In the time field 1311, “2016/3/24 12:05” and “2016/3” / 24 12:10 ”is registered as the low-stress in each of the 10th and 11th records, and each of the 4th, 5th, 7th, 8th, 10th and 11th records is“ 2016 / “3/24 10:45” to “2016/3/24 12:10” is selected and extracted as the first time point T1. Since a series of records can be identified and extracted from the start time and the first variation pattern, the first time point T1 is the first time of the first variation pattern (in the above example, the fourth “2016/3/24 10:45 ").

  Returning to FIG. 6, next, the mental health evaluation device MH obtains the displacement (difference) of the stress index between the stress fluctuations at the first time point T1 by the mental health evaluation unit 127 of the MH control processing unit 12 (S23). ). More specifically, the mental health evaluation unit 127 uses the evaluation unit 1272 to compile records for each identical action content (action type) that continues in chronological order, and average each second stress index in these collected records. The first average displacement of the second stress index when changing from the first low stress to the high stress (the first difference) and the change from the high stress to the second low stress are obtained. In this case, the second displacement (second difference) of the second stress index is obtained. In the example shown in FIG. 7, as shown in the second column from the right in FIG. 8 (in FIG. 8, the fourth to eleventh records in FIG. 7 are shown from the first to the eighth), An average value (“9.5”) of each second stress index (“10”, “9.0”) registered in each second stress index field 1314 in the fourth and fifth records is obtained. An average value (“2.0”) of each second stress index (“2.0”, “2.0”) registered in each second stress index field 1314 in the th and eighth records is obtained, An average value (“3.5”) of each second stress index (“3.0”, “4.0”) registered in each second stress index field 1314 in the 10th and 11th records is obtained. As shown in the rightmost column of FIG. The first displacement (“−−”) of the second stress index when the first low stress is changed to the high stress at each of the average values (“9.5”, “2.0”, “3.5”) 7.5 ”(= 2.0−9.5)) and the second displacement of the second stress index (“ +1.5 ”(= 3.5−) when the stress changes from high stress to second low stress. 2.0)) is required. The result is shown as a graph in FIG. The horizontal axis in FIG. 9 is the action content in each second stress index, and the vertical axis in FIG. 9 is the index value of the second stress index. Note that the evaluation unit 1272 may obtain a displacement ratio instead of the displacement (difference). The same applies to the following displacement (difference).

  As described above, in the first variation pattern from the first low stress to the second low stress through the high stress, the second stress index is the above-mentioned even though the stress caused by the action content returns to the low stress. In the example of FIG. 5, the change (fluctuation) is made from 9.5 to 2.0 to 3.5, and the return is not completed. For this reason, when the difference between the second stress index of the first low stress and the second stress index of the second low stress in the case of passing through the high stress exceeds a predetermined threshold, the mental health deteriorates. On the other hand, if the difference is within the predetermined threshold value, it may be evaluated that the mental health is good and the evaluation result may be output to the display terminal device DT. As described below, one or more other time points Tn excluding the first time point T1 are extracted in the second variation pattern, and the second displacement at the first time point T1 and the second time at the one or more other time points Tn are extracted. Compared to displacement, mental health is evaluated.

  That is, in this embodiment, returning to FIG. 6, next to step S <b> 23, in step S <b> 24, the mental health evaluation apparatus MH uses the extraction processing unit 1271 of the mental health evaluation unit 127 to calculate a plurality of stress indexes. Among the time points, the second and third time points T2 and T3 other than the first time point T1 are selected based on the second variation pattern. More specifically, the extraction processing unit 1271 first sets a change in action content in the first variation pattern searched in the process S22 as a second variation pattern. In the above-described example, as shown in FIGS. 7 to 9, the pattern from the break to the lunch through the meeting, which is the change in the action content in the first variation pattern searched in the process S22, is the second variation pattern. Is set. Next, the extraction processing unit 1271 goes back from the extracted first time point T1 to the past, and the stress corresponding to the target person ID accommodated in the evaluation instruction communication signal received in step S21, that is, the measurement terminal ID. Two second variation patterns from a break to a lunch through a meeting are searched from a plurality of time-series action contents registered in the action field 1312 in the stress index log information table SAT stored in the index log information storage unit 131. To do. Then, the extraction processing unit 1271 selects and extracts the two time points at which the second variation pattern is searched as the second and third time points T2 and T3 in order from the one closer to the first time point.

  In the process S25 subsequent to the process S24, the mental health evaluation apparatus MH performs the first time point on the second and third time points T2 and T3 extracted in the process S24 by the evaluation unit 1272 of the mental health evaluation unit 127. Similarly to the process S23, the second displacement of the second stress index when the meeting corresponding to the high stress changes to the lunch corresponding to the second low stress is obtained. An example of this result is shown in FIG. In the example shown in FIG. 10, “2016/2/24” is extracted as the second time point T2, and the second displacement of the second stress index in this case is calculated as +5.0, and “2015/12/24” is calculated. Is extracted as the third time point T3, and the second displacement of the second stress index in this case is calculated as +6.0.

  In the process S26 subsequent to the process S25, the mental health evaluation apparatus MH includes a plurality of stress indicators at each of the plurality of time points selected and extracted by the extraction processing unit 1271 by the evaluation unit 1272 of the mental health evaluation unit 127. And evaluating the mental health of the subject based on a plurality of behavioral contents. More specifically, the evaluation unit 1272 includes a value of the second stress index of the high stress and a value of the second stress index of the second low stress at the first time point T1 of the plurality of time points. 21st displacement (21st difference) with respect to the value, and the value of the second stress index of the high stress and the second value of the second low stress at the second time point T2 of the plurality of time points. The 22nd displacement (the 22nd difference) with the value of the stress index is obtained (that is, in this embodiment, the second stress index value of the action content corresponding to the high stress (meeting in the above example) and the second The action content corresponding to low stress (determined by the 22nd displacement with the value of the second stress index of the lunch in the above example) is obtained when the second time point T2 is earlier than the first time point T1. The 21st displacement is the obtained first If 2 is smaller than the displacement, than mental health in the second time point T2 mental health first time point T1 is evaluated as bad. More specifically, the evaluation unit 1272 evaluates that the mental health at the first time point T1 is worse than the mental health at the second time point T2 when the obtained 21st displacement is smaller than the obtained 22nd displacement by a predetermined value or more. On the other hand, when the obtained 21st displacement is not smaller than the obtained 22nd displacement by a predetermined value or more, it is evaluated that the mental health at the first time point T1 is not worse than the mental health at the second time point T2.

  In the present embodiment, since the third time point T3 is also extracted, the evaluation unit 1272 further determines the second stress index value of the high stress and the second low stress of the first variation pattern at the third time point T3. The second stress index value of the action content (meeting in the above example) corresponding to the high stress is obtained (that is, in this embodiment, the 23rd displacement (23rd difference) with the second stress index value). The 23rd displacement of the action content corresponding to the second low stress (lunch in the above example) with the value of the second stress index is obtained), the third time point, the second time point T2, and the first time point T1 in time order. In the case where the obtained 22nd displacement is smaller than the obtained 23rd displacement and the obtained 21st displacement is smaller than the obtained 22nd displacement (that is, the 23rd displacement, the 22nd displacement and the 21st change If the gradually decreases in the order), than the mental health of the third and second time T3, T2 mental health of the first time T1 is evaluated as bad. More specifically, the evaluation unit 1272 determines that the obtained 22nd displacement is smaller than the obtained 23rd displacement by a predetermined value or more, and the obtained 21st displacement is smaller than the obtained 22nd displacement by a predetermined value or more. While it is evaluated that the mental health at the first time point T1 is worse than the mental health values at the third and second time points T3 and T2, otherwise, it is higher than the mental health values at the third and second time points T3 and T2. It is evaluated that the mental health at the first time point T1 is not bad or unknown. The predetermined value is appropriately set based on a plurality of samples.

  Then, in the process S27 following the process S26, the mental health evaluation apparatus MH uses the output processing unit 1273 of the mental health evaluation unit 127 to obtain the evaluation result obtained by the evaluation unit 1272 in the process S26 in the process S21. The received evaluation instruction communication signal is output (returned) to the display terminal device DT that is the transmission source via the network NW, and this process ends. More specifically, the output processing unit 1273 includes the subject ID (or measurement device ID) contained in the evaluation instruction communication signal received in the process S21, and the evaluation result obtained by the evaluation unit 1272 in the process S26. Is generated for the display terminal device DT that is the transmission source of the evaluation instruction communication signal received in step S21, and the generated evaluation result notification communication signal is transmitted to the network NW. To do. The evaluation result notification communication signal may further contain first to third time points T1 to T3, 21st to 23rd displacements, and the like.

  The display terminal device DT that has received the evaluation result notification communication signal displays the evaluation result accommodated in the received evaluation result notification communication signal. For example, the evaluation result is displayed as shown in FIGS.

  In the above-described embodiment, the first variation pattern is a pattern from the first low stress to the second low stress through the high stress. However, the first variation pattern is not limited to this and is another pattern. May be. The first variation pattern may be, for example, a pattern from the first high stress to the second high stress through the low stress.

  As described above, the mental health evaluation apparatus MH and the mental health evaluation method and the mental health evaluation program implemented in the present embodiment use the action content of the target person as a stress task, and at least two or more Since the subject's mental health is evaluated based on a plurality of stress indicators and a plurality of behavioral contents at each time point, the mental health can be evaluated in a natural state of the subject. The mental health evaluation apparatus MH, the mental health evaluation method, and the mental health evaluation program determine the plurality of time points based on a first variation pattern in a plurality of stress indicators and a second variation pattern in a plurality of action contents. Therefore, the mental health evaluation apparatus MH, the mental health evaluation method, and the mental health evaluation program are suitable for the determination of mental health among the first fluctuation patterns of the stress index that naturally occurs in the daily life of the subject. The second variation pattern of the action content can be automatically detected, and the mental health state is evaluated by comparing the displacement (difference) of the stress index in the detected second variation pattern. Familiarity cannot occur and the accuracy can be improved. Therefore, the mental health evaluation apparatus MH, the mental health evaluation method, and the mental health evaluation program can evaluate mental health in a state close to nature in the daily activities of the subject. In addition, the mental health evaluation apparatus MH, the mental health evaluation method, and the mental health evaluation program can change the variation pattern of the comparison target in the mental health evaluation for each target person, and thus can cope with individual differences.

  Further, the mental health evaluation apparatus MH, the mental health evaluation method, and the mental health evaluation program use a predetermined first variation pattern, for example, when the first low stress is reached to the second low stress through the high stress. Can evaluate health.

  In addition, the mental health evaluation apparatus MH, the mental health evaluation method, and the mental health evaluation program can evaluate mental health with the same second variation pattern at different points in time.

  In the above-described embodiment, the schedule of the target person is stored and managed in the schedule management server device SS, but may be stored and managed by the mental health evaluation device MH instead of the schedule management server device SS. Such a mental health evaluation apparatus MH functionally further includes a schedule storage unit 132 that stores the schedule of the subject in the MH storage unit 13, as indicated by a broken line in FIG. Similarly to the schedule management server device SS, the schedule storage unit 132 sets a schedule in which action content (for example, action type name) and its start time and end time are associated with each other for each subject ID (or measurement terminal ID). Remember. The behavior acquisition processing unit 124 acquires the behavior content of the target person from the schedule storage unit 132 instead of the schedule management server device SS.

  In the above-described embodiment, the action content of the target person is acquired from the schedule management server device SS. However, instead of or in addition to this, it is acquired from the GPS (Global Positioning System) of the target person. It may be obtained and obtained using the position of the subject (position information) and the exercise state of the subject measured by the exercise state measurement device that measures the exercise state of the subject. In other words, the mental health evaluation device MH includes the schedule of the subject managed by the schedule management server device SS by the behavior acquisition processing unit 124 of the MH communication IF unit 11 and the MH control processing unit 12, and the GPS of the subject. The behavior of the subject using at least one of the position (position information) acquired from the subject and the exercise state of the subject measured by the exercise state measurement device that measures the exercise state of the subject Get content.

  More specifically, in the case where the position (position information) acquired from the GPS of the subject is used, the measurement terminal device ST is connected to the ST control processing unit 22 as indicated by a broken line in FIG. The mental health evaluation apparatus MH further associates position information and action content with each other in the MH storage unit 13 as indicated by a broken line in FIG. 2. The GPS 26 acquires position information according to the control of the ST control processing unit 22. The position-behavior conversion information storage unit 133 is further provided. Then, the mental health evaluation apparatus MH uses the action acquisition processing unit 124 of the MH control processing unit 12 to issue an instruction (command, command) for requesting location information for each measurement terminal ID, that is, for each target person in the process S15. ) Is transmitted to the measurement terminal device ST, the reply is received, and the received position information is converted into position information and action stored in the position / behavior conversion information storage unit 133. It is obtained by converting it into action contents from the correspondence of contents. Here, when receiving the position information request communication signal by the ST control processing unit 22, the measurement terminal device ST acquires position information from the GPS 26, and obtains the measurement terminal ID (or subject ID) and the acquired position information. A communication signal to be accommodated (position information notification communication signal) is generated, and the generated position information notification communication signal is returned to the mental health evaluation apparatus MH.

When the exercise state of the subject measured by the exercise state measurement device is used, the measurement terminal device ST is connected to the ST control processing unit 22 as indicated by a broken line in FIG. A motion state measuring unit 25 such as an acceleration sensor or a gyro sensor is further provided for measuring the motion state of the subject according to the control. Then, like the above-described biological signal, the measurement terminal device ST measures the motion state at a predetermined sampling interval by the motion state measurement unit 25 and performs a predetermined time (for example, a motion state measurement unit that can be accommodated in one communication signal). When measuring only the data capacity of 25 output data), a communication signal (exercise state notification communication signal) containing the measurement terminal ID (or subject ID) and the output data of the measured exercise state measurement unit 25 is measured. And the generated exercise state notification communication signal is transmitted to the mental health evaluation apparatus MH. When the mental health evaluation device MH receives the exercise state notification communication signal by the behavior acquisition processing unit 124 of the MH control processing unit 12, the terminal device ID and the exercise state measurement unit 25 accommodated in the received exercise state notification communication signal. Are stored in the MH storage unit 13 in association with each other, the action content of the subject is determined based on the received output data of the exercise state measurement unit 25, and the determination result, the measurement terminal ID (or the measurement terminal ID) (Target person ID) and the determination time estimated from the reception time are stored in the MH storage unit 13 in association with each other. FIG. 11 is a diagram for explaining action content acquisition processing using an acceleration sensor, in which the horizontal axis represents time indicating the passage of time, and the vertical axis represents acceleration represented by [m / s ² ]. It is. For example, when the current action content of the subject is in a sitting state (sit) and the output data of the motion state measurement unit 25 including an acceleration sensor changes with time as shown in FIG. The processing unit 124 determines that the subject is in a standing state at the first peak in the output data of the motion state measurement unit 25, and the subject walks with random vibration in the output data of the motion state measurement unit 25. It is determined that a state has been reached, it is determined that the subject has been in a standing state by stopping the vibration in the output data of the motion state measurement unit 25, and the output data of the motion state measurement unit 25 is It is determined that the subject is in a sitting state at the next peak. Therefore, in the example illustrated in FIG. 11, the behavior acquisition processing unit 124 sequentially acquires a sitting position, a standing position, a walking position, a standing position, and a sitting position as the action contents of the target person. In the process S15, the action content of the subject corresponding to the current time is acquired based on the determination result stored in the MH storage unit 13.

  The mental health evaluation device MH displays the schedule of the subject managed by the schedule management server device SS, the position (position information) acquired from the GPS of the subject, and the exercise state of the subject. In the case of obtaining the subject's behavior content using a plurality of the subject's motion status measured by the motion state measuring device to be measured, when behavior content contradicting each other is obtained The action content of the subject may be unknown. Moreover, the action content based on the output data of the exercise state measurement unit 25 may be converted into more specific action content in combination with the position information and the schedule. For example, when the position information is home, the sitting position is converted into a break, and when the position information is a company, the sitting position is converted into a meeting.

  In the above-described embodiment, the action content may be two types of high stress action and low stress action. For example, a break is a low stress behavior and a meeting is a high stress behavior. Further, for example, commuting during the commuting rush hour is regarded as a high stress behavior, while commuting during a time outside the commuting rush hour is regarded as a low stress behavior. Since such mental health evaluation apparatus MH, mental health evaluation method, and mental health evaluation program have two types of behavior contents, high stress behavior and low stress behavior, not only the first variation pattern but also the second variation pattern. Can be selected by changing stress. In particular, even with the same action content, the stress is different depending on the individual, such that a certain person is highly stressed while another certain person is low stressed. Further, even the same person with the same action content may change from high stress to low stress depending on the number of experiences (stepping on the number of places). Therefore, such a mental health evaluation apparatus MH, a mental health evaluation method, and a mental health evaluation are performed by assigning either high stress action or low stress action to the action content according to how each person applies stress. The program can apply the second variation pattern more suitable for an individual to the evaluation of mental health, and can improve the accuracy.

  In the above-described embodiment, the first time point T1 is selected based on the first fluctuation pattern, and the second and third time points T2 and T3 are the second fluctuation pattern corresponding to the selected first fluctuation pattern. However, the plurality of time points such as the first to third time points T1 to T3 may be selected based only on the first variation pattern of the stress index. According to this, the schedule management server device SS and the action acquisition processing unit 124 can be omitted, and the mental health evaluation can be easily performed only by the biological signal measurement unit 21.

  FIG. 12 is a diagram for explaining extraction processing at each time point using only the first variation pattern. In such a case, the stress index log information storage unit 131 does not include the behavior field 1312, that is, includes a time field 1311, a first stress index field 1313, and a second stress index field 1314 as illustrated in FIG. The stress index log information table SATa is stored, and the extraction processing unit 1271 changes from the stress index log information table SATa to the second low stress through the high stress, for example, from the stress index log information table SATa. By searching for one variation pattern, the first time point T1 is selected and extracted. For example, in the example shown in FIG. 12, the fourth and fifth records that register “2016/3/24 10:45” and “2016/3/24 10:50” in the time field 1311 are low stress. It is determined that the seventh and eighth records respectively registering “2016/3/24 11:00” and “2016/3/24 11:05” in the time field 1311 are determined to be high stress, and the time field 1311 The 10th and 11th records that respectively register “2016/3/24 12:05” and “2016/3/24 12:10” are determined to be low stress, and these are the fourth, fifth, and seventh. , 8th, 10th, and 11th records “2016/3/24 10:45” through “2016/3” 24 12:10 "are extracted is selected as the first point in time T1. The average of the second stress index is obtained by collecting records for each identical stress state (low stress, high stress) that continues in time series. Then, in the extraction of the second and third time points T2 and T3, the extraction processing unit 1271 goes back to the past from the extracted first time point T1, and from the stress index log information table SATa, similarly to the above, By searching for one variation pattern, the second and third time points T2 and T3 are selected and extracted.

  In the above-described embodiment, the mental health evaluation device MH may be configured integrally with the measurement terminal device ST. In such a case, the measurement terminal device ST configured integrally is equivalent to another example of the biological signal acquisition unit.

  In order to express the present invention, the present invention has been properly and fully described through the embodiments with reference to the drawings. However, those skilled in the art can easily change and / or improve the above-described embodiments. It should be recognized that this is possible. Therefore, unless the modifications or improvements implemented by those skilled in the art are at a level that departs from the scope of the claims recited in the claims, the modifications or improvements are not covered by the claims. To be construed as inclusive.

MS Mental Health Evaluation System MH Mental Health Evaluation Device ST Measurement Terminal Device SS Schedule Management Server Device DT Display Terminal Device 11 Mental Health Evaluation Device Side Communication Interface Unit (MH Communication IF Unit)
12 Mental health evaluation device side control processing unit (MH control processing unit)
13 Mental health evaluation device side storage unit (MH storage unit)
21 biological signal measurement unit 122 biological signal acquisition processing unit 123 stress index calculation unit 124 behavior acquisition processing unit 125 clock unit 126 recording processing unit 127 mental health evaluation unit 131 stress index log information storage unit 1271 extraction processing unit 1272 evaluation unit 1273 output processing Part

Claims (7)

A biological signal acquisition unit that acquires a predetermined biological signal related to heart rate variability measured from a subject;
A stress index calculation unit for obtaining a stress index at predetermined time intervals based on the predetermined biological signal acquired by the biological signal acquisition unit;
An action acquisition unit that acquires the action content of the target person when the stress index calculation unit obtains the stress index;
At each of a plurality of different time points that are different from each other, the mental health of the target person is evaluated based on a plurality of stress indices obtained by the stress index calculation unit and a plurality of action contents obtained by the action obtaining unit. With a mental health assessment department,
The mental health evaluation unit includes at least the first variation pattern in the plurality of stress indexes obtained by the stress index calculation unit and the second variation pattern in the plurality of behavior contents acquired by the behavior acquisition unit. A mental health evaluation apparatus, wherein the plurality of time points are selected based on a fluctuation pattern. The mental health evaluation device according to claim 1, wherein the mental health evaluation unit selects one of the unselected time points among the plurality of time points based on the first variation pattern. The mental health evaluation device according to claim 1 or 2, wherein the mental health evaluation unit selects one of the unselected time points among the plurality of time points based on the second variation pattern. . The mental health evaluation apparatus according to any one of claims 1 to 3, wherein the behavior content includes two types of high stress behavior and low stress behavior. The first variation pattern is a pattern in which the stress index changes from the first low stress to the second low stress through the high stress,
The mental health evaluation unit obtains a first difference between a stress index value of the high stress and a stress index value of the second low stress of the first variation pattern at a first time point among the plurality of time points; A second difference between the value of the high stress stress index and the value of the second low stress stress index of the first variation pattern at the second time point among the plurality of time points is obtained, and the second time point is the first time point. If the obtained first difference is smaller than the obtained second difference when it is earlier than one time, it is evaluated that the mental health at the first time is worse than the mental health at the second time. The mental health evaluation apparatus according to any one of claims 1 to 4, characterized in that: A biological signal acquisition step of acquiring a predetermined biological signal related to heart rate variability measured from a subject;
A stress index calculation step for obtaining a stress index at predetermined time intervals based on the predetermined biological signal acquired in the biological signal acquisition step;
An action acquisition step of acquiring the action content of the subject in obtaining the stress index in the stress index calculation step;
The mental health of the target person is evaluated based on a plurality of stress indices obtained in the stress index calculation step and a plurality of action contents obtained in the action acquisition step at each of at least two or more different time points. Mental health assessment process,
The mental health evaluation step includes at least the first variation pattern in the plurality of stress indicators obtained in the stress indicator calculation step and the second variation pattern in the plurality of behavior contents acquired in the behavior acquisition step. A mental health evaluation method, wherein the plurality of time points are selected based on a fluctuation pattern. On the computer,
A biological signal acquisition step of acquiring a predetermined biological signal related to heart rate variability measured from a subject;
A stress index calculation step for obtaining a stress index at predetermined time intervals based on the predetermined biological signal acquired in the biological signal acquisition step;
An action acquisition step of acquiring the action content of the subject in obtaining the stress index in the stress index calculation step;
The mental health of the target person is evaluated based on a plurality of stress indices obtained in the stress index calculation step and a plurality of action contents obtained in the action acquisition step at each of at least two or more different time points. A mental health assessment program for executing the mental health assessment process,
The mental health evaluation step includes at least the first variation pattern in the plurality of stress indicators obtained in the stress indicator calculation step and the second variation pattern in the plurality of behavior contents acquired in the behavior acquisition step. A mental health evaluation program for selecting the plurality of time points based on a variation pattern.

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