Analysis system, analysis apparatus, analysis method, program, and recording medium

Abstract

To provide an analysis system, an analysis device and an analysis method which improve analysis accuracy of a fatigue stress state of a tissue.SOLUTION: An analysis system 1 includes a measurement device for acquiring information about fatigue stress of a plurality of members, an information storage part for storing information on individuals of the plurality of members, a fatigue stress value acquisition part for acquiring respective fatigue stress values of the plurality of members calculated on the basis of the information about the fatigue stress, an adjustment object extraction part for extracting members to be adjusted among the plurality of members on the basis of the information on the individuals including health information of the plurality of members and a prescribed condition for extracting the members to be adjusted including whether a prescribed health state included in the health information is preferable, and a fatigue stress state analysis part for adjusting a set of the fatigue stress values by excluding the fatigue stress values of the members to be adjusted from correction or analysis, and analyzing a fatigue stress state of an organization on the basis of a set of the adjusted fatigue stress values.SELECTED DRAWING: Figure 1

Description

Technical Field

[0001] The present invention relates to an analysis system, an analysis apparatus, an analysis method, a program, and a recording medium for analyzing the fatigue stress state of an organization.

Background Art

[0002] Patent Document 1 describes a lifestyle improvement support system that determines an individual's stress state and gives advice corresponding to the stress state.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] The lifestyle improvement support system described in Patent Document 1 still has room for improvement in terms of improving the analysis accuracy of the fatigue stress state of an organization.

[0005] The present invention provides an analysis system, an analysis apparatus, an analysis method, a program, and a recording medium with improved analysis accuracy of the fatigue stress state of an organization.

Means for Solving the Problems

[0006] An analysis system according to an aspect of the present invention is an analysis system for analyzing the fatigue stress state of an organization to which a plurality of members belong, an information acquisition unit that acquires information on the fatigue stress of the plurality of members, an information storage unit that stores information on the individuals of the plurality of members, a fatigue stress value acquisition unit that acquires the respective fatigue stress values of the plurality of members calculated based on the information on the fatigue stress, Based on the information about the individual including the health information of the plurality of members and a predetermined condition for extracting members to be adjusted including whether a predetermined health state included in the health information is good or not, an adjustment target extraction unit that extracts members to be adjusted from the plurality of members; A fatigue stress value adjustment unit that adjusts the set of fatigue stress values by correcting or excluding from analysis the fatigue stress values of the members to be adjusted; A fatigue stress state analysis unit that analyzes the fatigue stress state of the organization based on the adjusted set of fatigue stress values; It is provided with.

[0007] An analysis device according to an aspect of the present invention is An analysis device that analyzes the fatigue stress state of an organization to which a plurality of members belong, A fatigue stress value acquisition unit that acquires the respective fatigue stress values of the plurality of members calculated based on information related to the fatigue stress of the plurality of members; Based on the information about the individuals of the plurality of members including the health information of the plurality of members and a predetermined condition for extracting members to be adjusted including whether a predetermined health state included in the health information is good or not, an adjustment target extraction unit that acquires members to be adjusted from the plurality of members; A fatigue stress value adjustment unit that acquires a set of fatigue stress values adjusted by correcting or excluding from analysis the fatigue stress values of the members to be adjusted; A fatigue stress state analysis unit that analyzes the fatigue stress state of the organization based on the adjusted set of fatigue stress values; It is provided with.

[0008] An analysis method according to an aspect of the present invention is A method for analyzing the fatigue stress state of an organization to which a plurality of members belong, A step of acquiring information related to the fatigue stress of the plurality of members; A step of acquiring information about the individuals of the plurality of members; Calculating the fatigue stress value of each of the plurality of members based on the information regarding the fatigue stress; Extracting a member to be adjusted including the information regarding the individual including the health information of the plurality of members and a predetermined condition for extracting a member to be adjusted including whether or not a predetermined health state included in the health information is good, among the plurality of members; Adjusting the set of fatigue stress values by correcting or excluding from analysis the fatigue stress value of the member to be adjusted based on the information regarding the individual being the predetermined value; Analyzing the fatigue stress state of the organization based on the adjusted set of fatigue stress values; Including.

[0009] A program according to an aspect of the present disclosure causes a computer to execute the above-described method.

[0010] A recording medium according to an aspect of the present disclosure records the above-described program.

Advantages of the Invention

[0011] According to the present invention, there are provided an analysis system, an analysis apparatus, an analysis method, a program, and a recording medium that improve the analysis accuracy of the fatigue stress state of an organization.

Brief Description of the Drawings

[0012]

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Mode for Carrying Out the Invention

[0013] (Background of the Invention) Patent Document 1 describes a lifestyle improvement support system that determines an individual's stress state and provides advice corresponding to the stress state. In the lifestyle improvement support system of Patent Document 1, the determination of the stress state is made based on, for example, data related to an individual's living situation, or biometric data such as an individual's weight or body temperature.

[0014] In recent years, it has been required to utilize information on the fatigue stress of each individual belonging to an organization for the operation of the organization. For example, when analyzing the fatigue stress state of an organization and there are members whose fatigue stress state is deteriorating due to factors related to the organization such as work, measures such as reducing the workload of those members are considered to improve work efficiency. Here, the fatigue stress state of the organization indicates, for example, what percentage of the members belonging to the organization are in a state of high fatigue stress, and includes the statistics of the fatigue stress values of each member. A state of high fatigue stress means a state in which at least one of fatigue or stress is high.

[0015] In the case of analyzing the fatigue stress state based on data related to an individual or an individual's biometric data as in Patent Document 1, the deterioration of the stress state caused by factors not related to the organization may become noise in analyzing the stress state of the organization. The deterioration of the fatigue stress state caused by factors not related to the organization refers to, for example, the deterioration of the fatigue stress state due to the health state of a member or life events such as weddings, funerals, and celebrations.

[0016] The present inventor(s) have found that by treating the deterioration of the fatigue stress state due to such personal circumstances as noise, the accuracy of analyzing the fatigue stress state of the organization can be improved, and have arrived at the following invention.

[0017] Hereinafter, embodiments according to the present invention will be described with reference to the accompanying drawings.

[0018] (Embodiment 1) [Overall Configuration] FIG. 1 is a block diagram showing an analysis system according to Embodiment 1. The analysis system 1 will be described with reference to FIG. 1.

[0019] The analysis system 1 is a system that analyzes the fatigue stress state of an organization to which a plurality of members belong. The analysis system 1 analyzes the fatigue stress state of the organization based on information regarding the fatigue stress of a plurality of members. The analysis system 1 includes a measuring device 10, an information storage unit 20, and a control unit 30. The information regarding fatigue stress may include at least one of information regarding fatigue or information regarding stress, and does not necessarily include information regarding both fatigue and stress. The fatigue stress state of the organization indicates, for example, the ratio of members with a high degree of fatigue stress among the members belonging to the organization, the presence or absence of members with a high degree of fatigue, or the presence or absence of members with a high degree of stress, and includes statistics of the fatigue stress values of each member.

[0020] <Measuring Device> The measuring device 10 is a device that acquires information regarding the fatigue stress of a plurality of members. The information regarding fatigue stress includes, for example, information that can measure or estimate at least one of the degree of fatigue or the degree of stress of each member, such as the biometric information, voice tone, or body movement of each of the plurality of members. The degree of fatigue indicates how fatigued a member is, and the degree of stress indicates how much stress a member is under. The degree of fatigue and the degree of stress may also be collectively referred to as the degree of fatigue stress.

[0021] In the present embodiment, the measuring device 10 is composed of, for example, a biometric sensor capable of measuring the biometric information of a member. Biometric information is various physiological and anatomical information emitted by a living body. Examples of biometric information include information such as body temperature, heart rate, pulse, respiratory rate, and electroencephalogram.

[0022] In the present embodiment, the measuring device 10 is a device capable of measuring the heart rate interval as the biological information of the constituent members. Alternatively, the measuring device 10 may measure the pulse as the biological information of the constituent members. The heart rate interval indicates the interval between the occurrence times of the R waves in the electrocardiogram. Regular fluctuations are usually observed in the heart rate interval. The periodic fluctuation of the heart rate interval is called heart rate variability. Using heart rate variability, an index indicating the state of fatigue or stress can be calculated. Examples of the index indicating the state of fatigue or stress include autonomic nerve indices. Alternatively, as an index indicating the state of fatigue or stress, the concentration of reactive oxygen species in the blood, the value of lipids contained in the blood, the total sum of proteins in the blood, or the concentration of amino acids in the blood can also be used. The index indicating the state of fatigue or stress can also be calculated by, for example, an examination based on the activity of HHV6 (human herpesvirus) in saliva, a PVT test for measuring fatigue from the reaction speed, or an examination using an activity meter using acceleration or GPS. In the present embodiment, an index indicating at least one of the degree of fatigue or the degree of stress is referred to as a fatigue stress value.

[0023] The measuring device 10 is a device for measuring the heart rate interval, such as a heart rate sensor. Alternatively, the measuring device 10 may be a wearable device such as a smartwatch having a heart rate sensor.

[0024] The information regarding fatigue stress acquired by the measuring device 10 is stored, for example, in the storage unit of the control unit 30 described later.

[0025] <Information storage unit> The information storage unit 20 stores information regarding a plurality of constituent members. The information regarding an individual includes, for example, the health information of the constituent members, information such as the occurrence of life events, or information regarding the business of the organization.

[0026] Health information includes information on the health status of members, such as medical examination results, medical history, current medical history (presence or absence of diseases), and presence or absence of allergies. Further, the health information may include the degree of the health status. The degree of the health status includes, for example, the severity of a disease or allergy. The occurrence of a life event includes, for example, weddings, funerals, nursing care, or childcare situations, and is information among the personal information of members that may affect the degree of fatigue stress. More specifically, for example, life events related to the individual include the individual's marriage, such as starting school, starting work, starting or ending a side job, preparing for a wedding, preparing for divorce mediation, etc., divorce, separation from a spouse, illness, or accident. Also, life events related to relatives or acquaintances include pregnancy, childbirth, childcare, nursing care, marriage, divorce, starting school, transferring schools, dropping out of school, starting work, changing jobs, or leaving a job. Further, life events may include moving, separation from relatives or acquaintances due to an event or accident. Furthermore, life events include cases where the individual or a relative suffers damage from a fraud incident, or the individual or a relative causes or is involved in an event / accident. Information related to the organization's business includes, for example, overtime hours, presence or absence of business trips, presence or absence of personnel changes, and is information among the information related to the members' business that may affect the degree of fatigue stress.

[0027] The information storage unit 20 is constituted by a memory, or a storage device such as an HDD (Hard Disk Drive) or an SSD (Solid State Drive).

[0028] Information about an individual is input by an input terminal such as an electronic device such as a PC, a tablet PC, or a smartphone. Information about an individual may be input collectively by a member representing the organization, or each member may input their own information.

[0029] <Control Unit> The control unit 30 analyzes the fatigue stress state of the organization based on information regarding fatigue stress and information regarding individuals. The fatigue stress state of the organization includes, for example, the statistics of the fatigue stress values of each member.

[0030] The fatigue stress state of the organization can be indicated, for example, based on the fatigue stress values of the members belonging to the organization, such as the number or proportion of members with high fatigue stress values, that is, at least one of the degree of fatigue or the degree of stress, among all the members belonging to the organization.

[0031] In the present embodiment, the control unit 30 includes a fatigue stress value acquisition unit 31, an adjustment target extraction unit 32, a fatigue stress value adjustment unit 33, and a fatigue stress state analysis unit 34. Note that the control unit 30 corresponds to the "analysis device" of the present embodiment.

[0032] The control unit 30 includes a general-purpose processor such as a CPU or MPU that realizes a predetermined function by executing a program. The control unit 30 also has a storage unit (not shown in the figure). The control unit 30 realizes the functions of the fatigue stress value acquisition unit 31, the adjustment target extraction unit 32, the fatigue stress value adjustment unit 33, and the fatigue stress state analysis unit 34 by, for example, calling and executing a control program stored in the storage unit. The control unit 30 is not limited to realizing a predetermined function by the cooperation of hardware and software, and may be a dedicated hardware circuit designed to realize a predetermined function. That is, the control unit 30 can be realized by various processors such as a CPU, an MPU, a CPU, an FPGA, a DSP, and an ASIC.

[0033] Next, each component of the control unit 30 will be described.

[0034] <Fatigue stress value acquisition unit> The fatigue stress value acquisition unit acquires, by calculating the respective fatigue stress values of a plurality of members, based on information regarding fatigue stress. The fatigue stress value is calculated based on, for example, the inter-beat interval acquired by the measuring device 10.

[0035] Specifically, an autonomic nerve index is calculated using LF (Low Frequency), which is the power spectrum of the low-frequency band of heart rate variability that is a periodic variation in the heart rate interval, and HF (High Frequency), which is the power spectrum of the high-frequency band. LF mainly contains sympathetic nerve components, and HF mainly contains parasympathetic nerve components.

[0036] For example, the total power (TP: Total Power) indicated by the sum of LF and HF is an autonomic nerve index mainly related to the degree of fatigue, and the smaller the value of TP, the higher the degree of fatigue. Alternatively, ccvTP obtained by correcting TP with the heart rate, or a value (D-Score) obtained by standardizing ccvTP for each age may be used as an index related to the degree of fatigue.

[0037] Also, LF / HF, which indicates the balance between LF and HF, that is, the balance between the sympathetic nerve and the parasympathetic nerve, indicates the activity level of the sympathetic nerve and is an autonomic nerve index related to the degree of stress. The larger the value of LF / HF, the higher the degree of stress.

[0038] In the present embodiment, the fatigue stress value acquisition unit 31 calculates an autonomic nerve index such as TP or LF / HF as the fatigue stress value. The fatigue stress value acquisition unit 31 may calculate, for example, either TP indicating the degree of fatigue or LF / HF indicating the degree of stress, or may calculate both TP and LF / HF.

[0039] FIG. 2 is a table showing the fatigue stress values of members A to I belonging to the organization and information related to individuals. FIG. 3 is a table showing the heart rate interval data of a certain member.

[0040] As shown in FIG. 2, in the present embodiment, as information regarding fatigue stress, the heart rate intervals of each of the members A to I are acquired. As shown in FIG. 3, for example, time-series heart rate intervals for a predetermined period (from time T1 to time Tn) are acquired. Based on the heart rate intervals shown in FIG. 3, a fatigue stress value is calculated by the fatigue stress value acquisition unit 31. In the present embodiment, an autonomic nerve index is calculated based on the heart rate interval. Note that the fatigue stress value shown in FIG. 2 indicates TP.

[0041] The fatigue stress value calculated by the fatigue stress value acquisition unit 31 (the pre-adjustment fatigue stress value in FIG. 2) is stored, for example, in the storage unit of the control unit 30.

[0042] <Adjustment target extraction unit> The adjustment target extraction unit 32 extracts the adjustment target members from among the plurality of members belonging to the organization based on the information regarding the individual stored in the information storage unit 20 and a predetermined condition for extracting the adjustment target members.

[0043] Among the members belonging to the organization, there may be members with a high degree of fatigue stress due to personal factors other than the factors related to the organization's business, such as health conditions or the occurrence of specific life events. The fatigue stress values of such members are extracted by the adjustment target extraction unit 32 in order to exclude them from the analysis of the fatigue stress state of the organization. By excluding the fatigue stress values of members with a high degree of fatigue stress due to personal factors from the analysis, it is possible to analyze the fatigue stress mainly caused by factors related to the organization.

[0044] As shown in FIG. 2, the information regarding the individual includes the health information of the member or life events. In the present embodiment, as information regarding the individual, the presence or absence of the occurrence of life events such as caregiving, marriage, childbirth, misfortune, etc., and the presence or absence of injuries due to accidents are used. The life events are not limited to these, and various other life events such as child-rearing, moving, divorce, etc. can be used. Also, as health information, the health state of the member such as the presence or absence of diseases or the results of medical check-ups can be used.

[0045] Also, as a predetermined condition, it includes whether or not a predetermined health state included in the health information is good, or whether or not a predetermined life event has occurred.

[0046] When the adjustment target extraction unit 32 refers to the information about an individual stored in the information storage unit and the predetermined health state of a certain member is not good, or a predetermined life event has occurred to a certain member, that member is extracted as a member to be adjusted.

[0047] For example, in the example of FIG. 2, since a life event of marriage has occurred to member A, member A is extracted as a member to be adjusted. Similarly, since a life event of misfortune to a relative has occurred to member E, member E is extracted as a member to be adjusted. Further, since a life event of childbirth to the member himself or a relative has occurred to member H, member H is extracted as a member to be adjusted.

[0048] The members to be adjusted extracted by the adjustment target extraction unit 32 are stored, for example, in the storage unit of the control unit 30.

[0049] <Fatigue stress value adjustment unit> The fatigue stress value adjustment unit 33 adjusts the set of fatigue stress values by correcting or excluding from the analysis the fatigue stress values of the members to be adjusted. In the present embodiment, the fatigue stress value adjustment unit 33 adjusts the set of fatigue stress values by excluding the fatigue stress values of the members to be adjusted from the analysis target.

[0050] The set of fatigue stress values is the set of fatigue stress values of each of the components A to I shown in FIG. 2. The fatigue stress value adjustment unit 33 collects and stores the fatigue stress values of each of the components A to I in the storage unit of the control unit 30 to form a set of fatigue stress values. The fatigue stress value adjustment unit 33 adjusts the set of fatigue stress values by excluding the fatigue stress values of the components A, E, and H extracted as adjustment targets. As a result, the adjusted set of fatigue stress values is composed of the fatigue stress values excluding the fatigue stress values of the components A, E, and H, that is, the fatigue stress values of the components B to D, F, G, and I.

[0051] The set of fatigue stress values adjusted by the fatigue stress value adjustment unit 33 is stored, for example, in the storage unit of the control unit 30.

[0052] <Fatigue stress state analysis unit> The fatigue stress state analysis unit 34 analyzes the fatigue stress state of the organization based on the set of fatigue stress values adjusted by the fatigue stress value adjustment unit 33.

[0053] The analysis of the stress state of the organization includes, for example, classifying the adjusted set of fatigue stress values into a plurality of categories according to the magnitude of the fatigue stress values. Since the fatigue stress values in FIG. 2 indicate TP, the lower the numerical value, the higher the degree of fatigue stress. The fatigue stress state analysis unit 34 classifies the fatigue stress values into three categories of "low", "medium", and "high" according to the magnitude of the values. That is, the fatigue stress state analysis unit 34 classifies those with a high degree of fatigue stress into the "high" category, those with a medium degree of fatigue stress into the "medium" category, and those with a low degree of fatigue stress into the "low" category.

[0054] The classification of fatigue stress values may be performed, for example, based on a predetermined threshold value. For example, according to the value of the fatigue stress value, when it is less than the first threshold value, it may be classified into the "high" category, when it is equal to or greater than the first threshold value and less than the second threshold value, it may be classified into the "medium" category, and when it is equal to or greater than the second threshold value, it may be classified into the "low" category. In the example of FIG. 2, the first threshold value is 50 and the second threshold value is 70 (see FIG. 4).

[0055] FIG. 4 is a table showing the analysis results of the fatigue stress state of the organization by the fatigue stress state analysis unit 34. As shown in FIG. 4, in the organizations to which members A to I belong, the fatigue stress values of the respective members are classified into three categories by the fatigue stress state analysis unit 34. As a result, among the seven members excluding members A, E, and H who are the adjustment targets, 57.1% of the members have a low degree of fatigue stress, 14.3% of the members have a medium degree of fatigue stress, and 28.6% of the members have a high degree of fatigue stress, and such analysis results are obtained.

[0056] [Analysis method] FIG. 5 is a flowchart for explaining the analysis method in the analysis system 1 of FIG. 1. With reference to FIG. 5, the analysis method in the analysis system 1 will be described.

[0057] First, the control unit 30 acquires information on the respective fatigue stresses of a plurality of members (step S11). The information on the fatigue stress is, for example, the information on the respective heart rate intervals of the members measured using the measuring device 10 capable of acquiring the heart rate interval, and is stored in the storage unit of the control unit 30.

[0058] Next, the control unit 30 acquires information on the individuals of a plurality of members (step S12). The information on the individuals is input by the respective members or the members representing the organization using an input terminal such as a PC, a tablet PC, or a smartphone, and is stored in the information storage unit 20. The control unit 30 acquires the information on the individuals by referring to the information on the individuals stored in the information storage unit 20 or storing it in the storage unit of the control unit 30.

[0059] Next, the fatigue stress value acquisition unit 31 calculates the fatigue stress value of each of the plurality of members based on the information on the fatigue stress acquired in step S11 (step S13). As described above, the fatigue stress value is an autonomic nerve index calculated based on, for example, the heart rate interval, and in this embodiment, TP is calculated.

[0060] Next, the adjustment target extraction unit 32 extracts the members to be adjusted from the plurality of members based on the information on the individual and the predetermined conditions for extracting the members to be adjusted (step S14). The members to be adjusted refer to the members whose fatigue stress value is corrected or excluded from the analysis target of the fatigue stress state of the organization.

[0061] FIG. 6 is a flowchart for explaining the steps of extracting the members to be adjusted. With reference to FIG. 6, the details of the steps of extracting the members to be adjusted will be described.

[0062] The adjustment target extraction unit 32 determines whether or not a predetermined life event has occurred to the member (step S131). The adjustment target extraction unit 32 refers to the information on the individual of the member, and when the occurrence of a predetermined life event is included (Yes in step S131), it proceeds to step S133. The predetermined life events include, for example, caregiving, marriage, childbirth, misfortune, etc. as shown in the example of FIG. 2. The adjustment target extraction unit 32 refers to the information on the individual of the member, and when the occurrence of a predetermined life event is not included (No in step S131), it proceeds to step S132.

[0063] When a predetermined life event has not occurred (No in step S131), the adjustment target extraction unit 32 determines whether a predetermined health condition included in the health information of the member is good (step S132). If the information regarding the individual of the member includes, for example, having a disease or an injury, the adjustment target extraction unit 32 determines that the health condition is not good (No in step S132) and proceeds to step S133. Also, when the information regarding the individual of the member does not include having a disease or an injury (Yes in step S131), the adjustment target extraction unit 32 ends the extraction step of the employees to be adjusted.

[0064] When a predetermined life event of a member has occurred (Yes in step S131) or the health condition is not good, that member is extracted as an adjustment target. For example, in the example of FIG. 2, since a predetermined life event (marriage) has occurred to member A, member A is extracted as an adjustment target. Similarly, members E and H are also extracted as adjustment targets.

[0065] In the step of extracting the members to be adjusted, for each member, it is determined whether a predetermined life event has occurred and whether the health condition is good, and the members to be extracted as adjustment targets are determined.

[0066] Returning to FIG. 5, after extracting the members to be adjusted, the fatigue stress value adjustment unit 33 adjusts the fatigue stress values of the members to be adjusted (step S15). In the present embodiment, the fatigue stress value adjustment unit 33 excludes the fatigue stress values of the members to be adjusted from the analysis target. As a result, as shown in FIG. 2, the set of fatigue stress values is adjusted to the set of fatigue stress values of seven members excluding the fatigue stress values of members A, E, and H among the ten members A to I belonging to the organization.

[0067] Next, the fatigue stress state analysis unit 34 analyzes the fatigue stress state of the organization (step S16). The analysis of the fatigue stress state of the organization is performed based on the set of fatigue stress values adjusted in step S15. For example, in the example of FIG. 2, among the set of adjusted fatigue stress values, they are classified into three categories where the fatigue stress value is less than 50, 50 or more and less than 70, and 70 or more. By calculating the proportion or the number of people etc. occupied by each category in the whole set of fatigue stress values, an analysis result as shown in FIG. 4 can be obtained.

[0068] [Effect] According to Embodiment 1, the following effects can be achieved.

[0069] The analysis system 1 is an analysis system that analyzes the fatigue stress state of an organization to which a plurality of members belong, and includes a measuring device 10, an information storage unit 20, and a control unit 30. The measuring device 10 acquires information regarding the fatigue stress of a plurality of members. The information storage unit 20 stores information regarding individuals of a plurality of members. The control unit 30 analyzes the fatigue stress state of the organization based on the information regarding fatigue stress and the information regarding individuals. The fatigue stress value acquisition unit 31 of the control unit 30 calculates the respective fatigue stress values of a plurality of members based on the information regarding fatigue stress. The adjustment target extraction unit 32 of the control unit 30 extracts the members to be adjusted among a plurality of members based on the information regarding individuals and a predetermined condition for extracting the members to be adjusted. The fatigue stress value adjustment unit 33 of the control unit 30 adjusts the set of fatigue stress values by correcting or excluding from the analysis the fatigue stress values of the members to be adjusted. The fatigue stress state analysis unit 34 of the control unit 30 analyzes the fatigue stress state of the organization based on the adjusted set of fatigue stress values.

[0070] With such a configuration, it is possible to provide an analysis system that improves the analysis accuracy of the fatigue stress state of an organization. Specifically, by excluding the fatigue stress values of members with a high degree of fatigue or stress due to factors unrelated to the organization from the analysis target, it is possible to analyze the fatigue stress state of the organization due to factors related to the organization. By excluding factors unrelated to the organization, the analysis results of the fatigue stress state can be utilized for improving the organization operation.

[0071] For example, when life events such as marriage, childbirth, or misfortune occur to a member, or when the health condition is not good, that member may temporarily be in a state of high fatigue stress. If the fatigue stress values of such members are included in the analysis of the fatigue stress state of the organization, it may result in an analysis result that the fatigue stress state has deteriorated even though the organization operation is appropriate. Therefore, regarding the fatigue stress values of members who are presumed to be temporarily in a state of high fatigue stress due to the occurrence of life events or poor health condition, by excluding them from the analysis target, the fatigue stress state of the organization can be accurately analyzed.

[0072] The information about an individual includes the health information or life events of a plurality of members. The predetermined conditions include whether a predetermined health state included in the health information is good or whether a predetermined life event has occurred. The adjustment target extraction unit 32 of the control unit 30 extracts the members to be adjusted when the predetermined health state is not good or when a predetermined life event has occurred. The fatigue stress value adjustment unit 33 of the control unit 30 adjusts the set of fatigue stress values by excluding the fatigue stress values of the members to be adjusted from the analysis.

[0073] With such a configuration, it is possible to exclude the fatigue stress values of members who are presumed to be temporarily in a state of high fatigue stress from the analysis target, and improve the analysis accuracy of the fatigue stress state of the organization.

[0074] The fatigue stress state analysis unit 34 of the control unit 30 analyzes the fatigue stress state of the organization by classifying the fatigue stress values into a plurality of categories according to the magnitude of the fatigue stress values.

[0075] With such a configuration, it is possible to easily grasp the fatigue stress state of the entire organization rather than that of individual members.

[0076] The information regarding fatigue stress includes the biological information of a plurality of members.

[0077] With such a configuration, for example, the fatigue stress state can be analyzed using information obtained from biological information such as autonomic nerve indices.

[0078] The analysis device includes a fatigue stress value acquisition unit 31, an adjustment target extraction unit 32, a fatigue stress value adjustment unit 33, and a fatigue stress state analysis unit 34. The fatigue stress value acquisition unit 31 calculates the respective fatigue stress values of a plurality of members based on the information regarding the fatigue stress of the plurality of members. The adjustment target extraction unit 32 extracts the members to be adjusted among the plurality of members based on the information regarding the individuals of the plurality of members and a predetermined condition for extracting the members to be adjusted. The fatigue stress value adjustment unit 33 adjusts the set of fatigue stress values by correcting the fatigue stress values of the members to be adjusted or excluding them from the analysis target. The fatigue stress state analysis unit 34 analyzes the fatigue stress state of the organization based on the adjusted set of fatigue stress values.

[0079] With such a configuration, it is possible to provide an analysis device with improved analysis accuracy for the fatigue stress state of the organization.

[0080] The analysis method includes a step S11 of acquiring information regarding fatigue stress, a step S12 of acquiring information regarding individuals, a step S13 of calculating fatigue stress values, a step S14 of extracting the members to be adjusted, a step S15 of adjusting the set of fatigue stress values, and a step S16 of analyzing the fatigue stress state of the organization.

[0081] With such a configuration, it is possible to provide an analysis method that improves the analysis accuracy of the fatigue stress state of an organization.

[0082] In the above-described embodiment, an example in which the inter-beat interval is used as information related to fatigue stress has been described, but the present invention is not limited thereto. As information related to fatigue stress, for example, other biological information such as body temperature, heart rate, pulse, respiratory rate, electroencephalogram, etc. may be used. Alternatively, as information related to fatigue stress, information other than biological information such as the voice and body movement of the members can also be used.

[0083] In addition, a predetermined life event may include an event that occurred until information related to fatigue stress was acquired from a predetermined past time. That is, in order to extract the members to be adjusted, information on life events that occurred during a predetermined period, for example, from the time when information related to fatigue stress was acquired to one year ago, may be used. Since the change in the degree of fatigue stress due to the occurrence of a life event is often temporary, by excluding life events that occurred outside the predetermined period, the fatigue stress state of the organization can be analyzed accurately.

[0084] In the above-described embodiment, an example in which the analysis system 1 acquires information related to fatigue stress by measuring it with the measuring device 10 has been described, but the present invention is not limited thereto. For example, the analysis system 1 may acquire information related to fatigue stress by communication via a network using a communication circuit. That is, in the analysis system 1, the configuration for acquiring information related to fatigue stress is not limited to the measuring device 10, and it may be realized by an information acquisition unit that acquires information related to fatigue stress.

[0085] In the above-described embodiment, an example has been described in which the fatigue stress value acquisition unit 31 acquires the respective fatigue stress values of a plurality of members by calculating them based on information regarding fatigue stress. However, the present invention is not limited to this. The fatigue stress value acquisition unit 31 only needs to be able to acquire the respective fatigue stress values of a plurality of members calculated based on information regarding the fatigue stress of the plurality of members. For example, the information regarding fatigue stress acquired by the measuring device 10 may be transmitted to a device (external device) different from the analysis device (control unit 30), and the fatigue stress value may be calculated by the different device. For example, the fatigue stress value acquisition unit 31 may be configured by a communication circuit that communicates with another device via a network. In this case, the fatigue stress value acquisition unit 31 can acquire information regarding the information of the fatigue stress value calculated by the other device by communicating with the other device via the network.

[0086] In the above-described embodiment, an example has been described in which the adjustment target extraction unit 32 obtains the members to be adjusted among a plurality of members belonging to an organization by extracting the members to be adjusted based on the information about the individuals stored in the information storage unit 20 and a predetermined condition for extracting the members to be adjusted. However, the present invention is not limited to this. The adjustment target extraction unit 32 may obtain the members to be adjusted among a plurality of members as long as the extraction is based on the information about the individuals of the plurality of members including the health information of the plurality of members and a predetermined condition for extracting the members to be adjusted including whether or not a predetermined health state included in the health information is good. For example, the information about the individuals stored in the information storage unit 20 may be transmitted to a device (external device) different from the analysis device (control unit 30), and the employees to be adjusted may be extracted by the different device. The predetermined condition for extracting the members to be adjusted may be stored in advance in the storage or the like of the different device, or may be transmitted from the information storage unit 20 to the different device. The different device obtains the information about the individuals stored in the information storage unit 20 and the predetermined condition for extracting the members to be adjusted via a network, and extracts the members to be adjusted. The adjustment target extraction unit 32 may be configured by a communication circuit that communicates with a different device via a network, for example. In this case, the adjustment target extraction unit 32 can obtain the information about the employees to be adjusted extracted by the different device by communicating with the different device via the network.

[0087] In the above-described embodiment, an example has been described in which the fatigue stress value adjustment unit 33 obtains a set of fatigue stress values by adjusting the set of fatigue stress values of the members to be adjusted by correcting or excluding from the analysis the fatigue stress values of the members to be adjusted. However, the present invention is not limited to this. The fatigue stress value adjustment unit 33 only needs to be able to obtain a set of fatigue stress values adjusted by correcting or excluding from the analysis the fatigue stress values of the members to be adjusted. For example, information regarding the fatigue stress acquired by the measuring device 10 and information regarding the employees to be adjusted extracted by the adjustment target extraction unit 32 may be transmitted to a device (external device) different from the analysis device (control unit 30), and the set of fatigue stress values may be adjusted in the different device. For example, the fatigue stress value adjustment unit 33 may be constituted by a communication circuit that communicates with another device via a network. In this case, the fatigue stress value adjustment unit 33 can obtain information regarding the set of fatigue stress values adjusted by the different device by communicating with the different device via the network.

[0088] In the above-described embodiment, an example has been described in which the fatigue stress state analysis unit 34 analyzes the fatigue stress state of the organization based on the set of adjusted fatigue stress values. However, the present invention is not limited to this. The fatigue stress state analysis unit 34 does not necessarily have to perform the analysis only with the analysis device (control unit 30), and data necessary for the analysis may be transmitted to another device (external device), and a part of the analysis process may be performed by the other device. In this case, the analysis device can obtain a part of the analysis result by communicating with the other device via a network, and the time required for the analysis process and the burden on the device can be reduced.

[0089] In the above-described embodiment, an example has been described in which the information storage unit 20 is a storage device such as a memory or an HDD. However, the present invention is not limited to this. The information storage unit 20 may be constituted by, for example, a communication circuit, and may obtain information stored in a server different from the analysis system 1 via a network.

[0090] Note that the above-described embodiments can also be applied to programs. Further, the above-described embodiments can also be recorded on a recording medium as a program.

[0091] [Modification Example] FIG. 7 is a table showing the analysis result of the fatigue stress state of the organization according to Modification Example 1 of Embodiment 1. As shown in FIG. 7, the fatigue stress state of the organization may be classified, for example, by month for a set of fatigue stress values. By classifying the set of fatigue stress values by month, it is possible to grasp the numerical values of the monthly fatigue stress of each member and to discover members whose degree of fatigue stress is on an increasing trend.

[0092] FIG. 8 is a block diagram showing the analysis system 1A according to Modification Example 2 of Embodiment 1. FIG. 9 is a diagram showing an example of the analysis result displayed on the display unit 40 of the analysis system 1A in FIG. 8.

[0093] The analysis system 1A according to Modification Example 2 of Embodiment 1 includes a display unit 40 that displays the analysis result of the fatigue stress state of the organization, and the analysis result of the fatigue stress state of the organization is displayed as a graph on the display unit 40.

[0094] The display unit 40 is a device configured by, for example, a liquid crystal display, an organic EL display, etc., and displays the analysis result.

[0095] The analysis result of the fatigue stress state of the organization described with reference to FIG. 4 may be shown, for example, as a pie chart as shown in FIG. 9 and displayed on the display unit 40. In this case, it becomes easier to grasp the fatigue stress state of the entire organization. Also, the bias in the distribution of the fatigue stress values of the members belonging to the organization can be visually grasped.

[0096] FIG. 10 is a diagram showing another example of the analysis result displayed on the display unit 40 of the analysis system 1A in FIG. 8. As shown in FIG. 10, the fatigue stress state of the organization may be displayed as a bar graph on a monthly basis. When displayed as a bar graph, it is easy to compare on a monthly basis. By comparing with the organization's performance on a monthly basis, it is possible to determine the influence of the fatigue stress state on the organization's performance. In addition, by displaying as a bar graph, it is also easy to compare the fatigue stress states between different organizations.

[0097] (Embodiment 2) The analysis system according to Embodiment 2 of the present invention will be described. In Embodiment 2, mainly the differences from Embodiment 1 will be described. In Embodiment 2, the same or equivalent configurations as those in Embodiment 1 will be denoted by the same reference numerals and described. Further, in Embodiment 2, descriptions overlapping with those in Embodiment 1 will be omitted.

[0098] FIG. 11 is a flowchart showing the step of extracting the constituent members to be adjusted in the analysis method according to Embodiment 2. FIG. 12 is a table showing the fatigue stress values and personal information of each of the constituent members A to I belonging to the organization. FIG. 13 is a table showing the correction coefficients for each health state.

[0099] In Embodiment 2, it is different from Embodiment 1 in that the fatigue stress value of the constituent member to be adjusted is corrected.

[0100] For example, when a constituent member suffers from a chronic disease that may affect autonomic nerve indices such as diabetes, the influence on the fatigue stress value of the constituent member may be long-term. Therefore, instead of excluding the fatigue stress value of such a constituent member from the analysis target, by correcting the fatigue stress value according to the disease and its severity, the fatigue stress state of the organization can be accurately analyzed.

[0101] In the present embodiment, the adjustment target extraction unit 32 of the control unit 30 extracts the constituent members to be adjusted when a predetermined health state included in the health information is not good. The extraction of the constituent members to be adjusted in the present embodiment will be described with reference to FIG. 11.

[0102] The adjustment target extraction unit 32 of the control unit 30 determines whether a predetermined health state is good (step S231). Whether the predetermined health state is good can be determined by whether the individual has a predetermined disease such as diabetes, menopausal disorder, Lewy body dementia, etc., as in the example of FIG. 13. Alternatively, whether the predetermined health state is good can be determined by whether the numerical values of test results such as total cholesterol, LDL cholesterol, and triglycerides are normal or abnormal. The numerical values of the test results include, for example, body weight, metabolic syndrome determination based on abdominal circumference, eyesight, hearing (1 kHz, 4 kHz, or conversation method), blood pressure (systolic / diastolic), urine test (urinary protein / urinary occult blood), liver function (AST, ALT, γ-GTP), lipids (LDL cholesterol, HDL cholesterol, total cholesterol, triglyceride, non-HDL cholesterol), metabolism (uric acid), glucose metabolism (fasting blood glucose level, postprandial blood glucose level, post-meal blood glucose level, random blood glucose level, HbA1c), blood cells (white blood cell count, red blood cell count, hemoglobin, hematocrit, platelet count), fecal occult blood, PSA, or internal medicine examination results. Whether the test results are normal or abnormal is determined, for example, by whether the numerical values of the test results are within or outside the normal standard range, and are stored in the information storage unit 20 in advance as information related to the individual. In the example of FIG. 13, since member A has diabetes as a disease, it is determined that the predetermined health state is not good. Similarly, in the example of FIG. 13, since member B has abnormal test results for triglycerides and member D has menopausal disorder as a disease, it is determined that the predetermined health state is not good.

[0103] When it is determined that the predetermined health state is not good (No in step S231), the corresponding member is extracted as a member to be adjusted by the adjustment target extraction unit 32 (step S232). When it is determined that the predetermined health state is good (Yes in step S231), the step of extracting the member to be adjusted ends.

[0104] When the specified health condition is not good (No in step S231), the adjustment target extraction unit 32 extracts the member as a member to be adjusted (step S232).

[0105] When a member to be adjusted is extracted, the fatigue stress value adjustment unit 33 adjusts the set of fatigue stress values (step S15 in FIG. 5).

[0106] The fatigue stress value adjustment unit 33 corrects the fatigue stress value of the member to be adjusted. The correction of the fatigue stress value is performed based on a correction coefficient as shown in FIG. 13, for example. For example, when the fatigue stress value shown in FIG. 12 indicates the total power, the fatigue stress value of member A having diabetes is corrected using the correction coefficient for diabetes in FIG. 13. The range of the correction coefficient for diabetes is shown as 1 to 2.7, which means that different correction coefficients can be used according to the severity of diabetes. In the example of FIG. 12, correction coefficient 1.8 is used for member A according to the severity of diabetes. When suffering from diabetes, the value of the total power tends to be calculated lower than that of a healthy person. Therefore, the fatigue stress value is corrected by multiplying the fatigue stress value of member A by correction coefficient 1.8. When the degree of fatigue stress is indicated by the total power, the smaller the value, the higher the degree of fatigue stress. Therefore, when the fatigue stress value is calculated small due to diabetes like member A, a value corrected larger than the actual fatigue stress value using correction coefficient 1.8 is used for analysis. By correcting the fatigue stress value according to the health condition, the deviation of the fatigue stress value due to the health condition of the member can be corrected, and the analysis of the fatigue stress state of the organization can be performed more accurately. For member B, the fatigue stress value is corrected using correction coefficient 1.4, and for member D, the fatigue stress value is corrected using correction coefficient 0.6. Note that the correction coefficients in FIG. 13 are examples, and correction coefficients outside the range of the values shown in FIG. 13 can also be used.

[0107] [Effect] According to the second embodiment, the following effects can be achieved.

[0108] Personal information includes the health information of multiple members. The predetermined conditions include whether a predetermined health state included in the health information is good or not. When the predetermined health state is not good, the adjustment target extraction unit 32 of the control unit 30 extracts the member to be adjusted. The fatigue stress value adjustment unit 33 of the control unit 30 adjusts the set of fatigue stress values by correcting the fatigue stress value of the member to be adjusted.

[0109] With such a configuration, when the fatigue stress value is affected in the long term, for example, by suffering from a chronic disease, the fatigue stress value can be corrected according to the disease or the like to eliminate the influence not related to the organization and analyze the fatigue stress state of the organization. Therefore, the analysis accuracy can be improved.

[0110] The fatigue stress value adjustment unit 33 of the control unit 30 adjusts the set of fatigue stress values by correcting the fatigue stress value of the member to be adjusted based on the correction coefficient for each health state.

[0111] With such a configuration, by using the correction coefficient for each health state that may affect the fatigue stress value, the influence not related to the organization can be eliminated and the fatigue stress state of the organization can be analyzed. Therefore, the analysis accuracy can be improved.

[0112] In the above-described embodiment, as the health information, the presence or absence of diabetes, menopause, Lewy body dementia, total cholesterol, LDL cholesterol, and triglyceride test results are used, but the health information is not limited to this. The presence or absence of various diseases that may affect the fatigue stress value, or the test results can be used. Also, the fatigue stress value may be corrected for a member in whom a predetermined life event has occurred.

[0113] Also, in the above-described embodiment, an example of correcting the fatigue stress value based on the correction coefficient for each health state has been described, but the method of correcting the fatigue stress value is not limited to this.

[0114] FIG. 14 is a graph showing an example of statistical data used in the analysis system 1 according to Modification 1 of Embodiment 2. The fatigue stress value adjustment unit 33 of the control unit 30 may correct the stress value of the member to be adjusted based on the statistical data of the fatigue stress value with respect to the health state instead of the correction coefficient with respect to the health state.

[0115] In the graph of FIG. 14, the data obtained by plotting the fatigue stress values of healthy individuals with age on the horizontal axis is represented as linear data by, for example, linear regression analysis. Similarly, the data obtained by plotting the fatigue stress values of diabetes patients with age on the horizontal axis is represented as linear data by, for example, linear regression analysis. Statistical data such as that shown in FIG. 14 may be prepared for each health state, and the fatigue stress value may be corrected based on such statistical data. The statistical data may be acquired in advance by the control unit 30 and stored in the storage unit of the control unit 30. For example, the statistical data for each health state may be input in advance to the control unit 30 by the operator of the analysis system 1. Alternatively, the control unit 30 may communicate with an external device to utilize the statistical data stored in the external device. The statistical data may be acquired by the control unit 30 at a predetermined timing such as once a week, once a month, or once a year.

[0116] For example, when a member has diabetes, the fatigue stress value may be corrected according to how much the fatigue stress value of the member deviates from the linear data of diabetes in the graph of FIG. 14.

[0117] By using statistical data for the correction of the fatigue stress value, the accuracy of the correction of the fatigue stress value improves as the data of the fatigue stress value accumulates. Therefore, each time the analysis system 1 is used, the accuracy of the analysis of the fatigue stress state can be improved.

[0118] (Embodiment 3) An analysis system according to Embodiment 3 of the present invention will be described. In Embodiment 3, mainly the differences from Embodiment 1 will be described. In Embodiment 3, the same or equivalent configurations as those in Embodiment 1 will be described with the same reference numerals. Also, in Embodiment 3, descriptions overlapping with those in Embodiment 1 will be omitted.

[0119] FIG. 15 is a flowchart showing steps for extracting members to be adjusted in the analysis method according to Embodiment 3. FIG. 16 is a table showing the fatigue stress values and personal information of members A to I belonging to the organization.

[0120] In Embodiment 3, personal information is different from that in Embodiment 1 in that it includes information related to the organization's business. Also, in Embodiment 3, the adjustment target extraction unit 32 of the control unit 30 is different from that in Embodiment 1 in that it extracts members to be adjusted based on information related to the organization's business.

[0121] For example, factors related to the organization's business such as a large amount of overtime, immediately after a personnel transfer, and a large number of long-distance business trips may affect the fatigue stress values of members. When analyzing the fatigue stress state due to a specific factor among these factors related to the organization's business, it is desirable to eliminate the influence on the fatigue stress values caused by factors other than the specific factor. In the present embodiment, in order to eliminate the influence of factors other than the specific factor, the fatigue stress values of members having factors other than the specific factor are corrected or excluded from the analysis.

[0122] Referring to FIG. 15, the steps for extracting members to be adjusted in Embodiment 3 will be described. Since steps S331 to S333 in FIG. 15 are the same as steps S131 to S133 in FIG. 1 described in Embodiment 1, the description will be omitted.

[0123] In steps S331 to S333, the adjustment target extraction unit 32 of the control unit 30 extracts the constituent members to be adjusted based on the health information or life events of the constituent members. In the example of FIG. 16, the constituent members A, B, and D described as "Yes" in the column of "Adjustment Target 1" are extracted as the constituent members to be adjusted.

[0124] Next, the adjustment target extraction unit 32 of the control unit 30 determines whether the information related to the organization's business among the information about the individual satisfies a predetermined condition (step S334). The predetermined conditions include, for example, whether the overtime hours exceed a predetermined threshold, whether a predetermined period has elapsed since the personnel transfer, whether the number of long-distance business trips exceeds a predetermined threshold, and the like.

[0125] When the information related to the organization satisfies the predetermined condition (Yes in step S334), the adjustment target extraction unit 32 of the control unit 30 extracts the constituent member as a constituent member to be adjusted (step S335). When the information related to the organization does not satisfy the predetermined condition (No in step S334), the process of extracting the constituent members to be adjusted ends.

[0126] In the present embodiment, when the overtime hours per month exceed 67.5 hours and the number of months belonging to the department is 3 months or less, it is considered to satisfy the predetermined condition. In this case, as shown in FIG. 16, the constituent members E, F, and G described as "Yes" in the column of "Adjustment Target 2" are extracted as the constituent members to be adjusted.

[0127] When the constituent members to be adjusted are extracted, the fatigue stress value adjustment unit 33 of the control unit 30 adjusts the set of fatigue stress values by correcting the fatigue stress values of the constituent members to be adjusted or excluding them from the analysis target (step S15 in FIG. 5).

[0128] For the constituent members extracted in step S333 of FIG. 15, the fatigue stress values are corrected using a correction coefficient. As a result, the fatigue stress values of the constituent members A, B, and D are corrected, and the set of fatigue stress values is adjusted to the values in the column of "Adjusted Fatigue Stress Value 1" in FIG. 15.

[0129] For the components extracted in step S335 of FIG. 15, the fatigue stress values are excluded from the analysis target. As a result, from the "adjusted fatigue stress value 1", the fatigue stress values of components E, F, and G are further excluded, and the set of fatigue stress values is adjusted to the value of "adjusted fatigue stress value 2".

[0130] [Effect] According to the third embodiment, the following effects can be achieved.

[0131] The information about an individual includes information related to the organization's business. The adjustment target extraction unit 32 of the control unit 30 extracts the components to be adjusted based on the information related to the organization's business. The fatigue stress value adjustment unit 33 of the control unit 30 adjusts the set of fatigue stress values by correcting or excluding from the analysis the fatigue stress values of the components to be adjusted.

[0132] With such a configuration, among the deterioration factors of the fatigue stress values related to the organization's business, except for the predetermined factors, the fatigue stress state of the organization can be analyzed. Thereby, it is possible to prompt appropriate countermeasures against the deterioration of the fatigue stress values. As the predetermined factors, for example, the influence of overtime hours and personnel transfers can be excluded to analyze the fatigue stress state of the organization.

[0133] In the above-described embodiment, an example in which the fatigue stress value is excluded from the analysis target when the information related to the business satisfies a predetermined condition has been described, but the present invention is not limited thereto. When the information related to the business satisfies a predetermined condition, the fatigue stress value may be corrected. For example, the fatigue stress value may be corrected according to the overtime hours.

[0134] (Embodiment 4) An analysis system according to Embodiment 4 of the present invention will be described. In Embodiment 4, mainly the differences from Embodiment 1 will be described. In Embodiment 4, the same reference numerals will be given to the same or equivalent configurations as those in Embodiment 1 and they will be described. Also, in Embodiment 4, descriptions overlapping with those in Embodiment 1 will be omitted.

[0135] FIG. 17 is a block diagram showing an analysis system 2 according to Embodiment 4. FIG. 18 is a flowchart showing an analysis method in the analysis system 2 of FIG. 17.

[0136] As shown in FIG. 17, in Embodiment 4, the analysis system 2 is different from that in Embodiment 1 in that it includes a confidential information storage unit 50.

[0137] The confidential information storage unit 50 stores confidential information about individuals that is confidential to the organization. Confidential information about individuals includes, for example, the health information of members in the past (before belonging to the organization), or private information of members such as life events not managed by the organization, which the organization does not want to know. Life events not managed by the organization are, for example, private information of members such as the misfortune of a friend or acquaintance, or the misfortune of a pet, which is information that there is no obligation to report to the organization. The misfortune of a friend or acquaintance includes the misfortune of a partner in a partnership other than a legal marriage (such as a common-law marriage or a partnership in the case of a sexual minority). The confidential information about individuals is input by the member himself / herself and stored in the confidential information storage unit 50.

[0138] The input of the confidential information can be performed, for example, by an electronic device such as the PC, tablet, or smartphone of the member himself / herself.

[0139] The confidential information storage unit 50 is composed of a memory, or a storage device such as an HDD (Hard Disk Drive) or an SSD (Solid State Drive).

[0140] The confidential information storage unit 50 may be configured with hardware different from that of the information storage unit 20. Alternatively, the confidential information storage unit 50 may be configured on the same hardware as the information storage unit 20. In this case, by controlling the access right to the confidential information storage unit 50, it is preferable to prevent anyone other than the inputted member himself / herself from referring to the confidential information.

[0141] Referring to FIG. 18, the analysis method in the analysis system 2 will be described. In the present embodiment, the step of acquiring information about an individual in step S22 and the step of extracting members to be adjusted in step S24 are different from those in the first embodiment. Since steps S21, S23, S25 to S26 are the same as S11, S13, S15 to S16 in the first embodiment, the description thereof will be omitted.

[0142] In step S22, the control unit 30 acquires information about a plurality of individuals. First, the control unit 30 acquires information about individuals other than the confidential information (step S221). The control unit 30 refers to the information about individuals stored in the information storage unit 20 and stores it in the storage unit of the control unit 30, thereby acquiring the information about individuals.

[0143] Next, the control unit 30 acquires the confidential information about the individual (step S222). The control unit 30 refers to the confidential information about the individual stored in the confidential information storage unit 50 and stores it in the storage unit of the control unit 30, thereby acquiring the confidential information about the individual.

[0144] The control unit 30 analyzes the fatigue stress state of the organization based on the information about the individual stored in the information storage unit 20 and the confidential information about the individual stored in the confidential information storage unit 50. More specifically, in step S24, the adjustment target extraction unit 32 of the control unit 30 extracts the members to be adjusted based on the information about the individual and the confidential information about the individual. Similar to the information about the individual, the adjustment target extraction unit 32 can refer to the confidential information about the individual to extract the employees to be corrected or excluded.

[0145] [Effect] According to Embodiment 4, the following effects can be achieved.

[0146] The analysis system 2 includes a confidential information storage unit 50. The confidential information storage unit 50 stores confidential information about individuals that is confidential to the organization. The control unit 30 analyzes the fatigue stress state of the organization based on the information about individuals stored in the information storage unit 20 and the confidential information about individuals stored in the confidential information storage unit 50.

[0147] With such a configuration, it is possible to analyze the fatigue stress state of the organization while taking into account the personal information of the members whose information is desired to be kept confidential from the organization. Therefore, the accuracy of the analysis can be improved.

[0148] Note that the confidential information storage unit 50 may be included in the information storage unit 20. For example, the confidential information storage unit 50 can be realized by controlling access rights to the confidential information storage unit 50 so as not to disclose the confidential information stored in the confidential information storage unit 50 to the organization.

[0149] (Embodiment 5) The analysis system according to Embodiment 5 of the present invention will be described. In Embodiment 5, mainly the differences from Embodiment 1 will be described. In Embodiment 5, the same or equivalent components as those in Embodiment 1 will be described with the same reference numerals. Also, in Embodiment 5, descriptions overlapping with those in Embodiment 1 will be omitted.

[0150] FIG. 19 is a block diagram showing the configuration of the analysis system 3 according to Embodiment 5. As shown in FIG. 19, in Embodiment 5, the analysis system 3 is different from Embodiment 1 in that it includes an information acquisition unit 111. Also, the fatigue stress value acquisition unit 131, the adjustment target extraction unit 132, the fatigue stress value adjustment unit 133, the fatigue stress state analysis unit 134, and the information storage unit 120 are different from Embodiment 1 in that they are configured by a plurality of devices.

[0151] The information acquisition unit 111 is constituted by, for example, a communication circuit, and acquires measurement data 110 regarding the fatigue stress of a constituent member via a network NW as shown in FIG. 19. The measurement data 110 can be acquired by a device different from the analysis system 3, such as a biological sensor or the like. The analysis system 3 can acquire the measurement data 110 by the information acquisition unit 111 via a network or the like, and store the measurement data 110 in a database or the like within the analysis system 3. In the present embodiment, by providing the analysis system 3 with the information acquisition unit 111, it is possible to analyze the fatigue stress state of an organization using the measurement data 110 acquired by a biological sensor or the like outside the analysis system 3.

[0152] Also, in the present embodiment, the fatigue stress value acquisition unit 131, the adjustment target extraction unit 132, the fatigue stress value adjustment unit 133, and the fatigue stress state analysis unit 134 are each constituted by a different device. Here, the device is, for example, a configuration including various processors such as a CPU, an MPU, a CPU, an FPGA, a DSP, an ASIC, etc. The functions of the fatigue stress value acquisition unit 131, the adjustment target extraction unit 132, the fatigue stress value adjustment unit 133, and the fatigue stress state analysis unit 134 are executed by the processors of the respective devices. In this case, the fatigue stress value acquisition unit 131, the adjustment target extraction unit 132, the fatigue stress value adjustment unit 133, and the fatigue stress state analysis unit 134 can communicate with each other via a network. By constituting the fatigue stress value acquisition unit 131, the adjustment target extraction unit 132, the fatigue stress value adjustment unit 133, and the fatigue stress state analysis unit 134 by different devices, it is possible to physically arrange the respective constituent elements at different locations.

[0153] The fatigue stress value acquisition unit 131 calculates the respective fatigue stress values of the constituent members based on the information regarding the fatigue stress of the constituent members received by the information acquisition unit 111. The processor constituting the fatigue stress value acquisition unit 131 may be provided with a storage device (not shown) such as an HDD or an SSD, for example. The information regarding the fatigue stress acquired by the information acquisition unit 111 is stored in the storage device, and the fatigue stress value acquisition unit 131 can calculate the fatigue stress value using the information regarding the fatigue stress stored in the storage device.

[0154] [Effect] According to Embodiment 5, the following effects can be achieved.

[0155] The analysis system 3 is an analysis system that analyzes the fatigue stress state of an organization to which a plurality of constituent members belong. The analysis system 3 includes an information acquisition unit 111, an information storage unit 120, a fatigue stress value acquisition unit 131, an adjustment target extraction unit 132, a fatigue stress value adjustment unit 133, and a fatigue stress state analysis unit 134. The information acquisition unit 111 acquires information regarding the fatigue stress of a plurality of constituent members. The information storage unit 120 stores information regarding individuals of a plurality of constituent members. The fatigue stress value acquisition unit 131 calculates the respective fatigue stress values of a plurality of constituent members based on the information regarding the fatigue stress. The adjustment target extraction unit 132 extracts the constituent members to be adjusted among the plurality of constituent members based on the information regarding the individuals and a predetermined condition for extracting the constituent members to be adjusted. The fatigue stress value adjustment unit 133 adjusts the set of fatigue stress values by correcting or excluding from the analysis the fatigue stress values of the constituent members to be adjusted. The fatigue stress state analysis unit 134 analyzes the fatigue stress state of the organization based on the adjusted set of fatigue stress values.

[0156] With such a configuration, it is possible to provide an analysis system 3 that improves the analysis accuracy of the fatigue stress state of an organization. Further, the functions of the fatigue stress value acquisition unit 131, the adjustment target extraction unit 132, the fatigue stress value adjustment unit 133, and the fatigue stress state analysis unit 134 can be configured by different processors. Therefore, each component can be physically arranged in different locations.

[0157] In the above-described embodiment, an example in which the fatigue stress value acquisition unit 131, the adjustment target extraction unit 132, the fatigue stress value adjustment unit 133, and the fatigue stress state analysis unit 134 are each configured by different devices has been described, but the present invention is not limited thereto. For example, two or more of the fatigue stress value acquisition unit 131, the adjustment target extraction unit 132, the fatigue stress value adjustment unit 133, and the fatigue stress state analysis unit 134 may be configured by one device. Further, the information storage unit 120 may be configured by a device different from the fatigue stress value acquisition unit 131, the adjustment target extraction unit 132, the fatigue stress value adjustment unit 133, and the fatigue stress state analysis unit 134. That is, the fatigue stress value acquisition unit 131, the adjustment target extraction unit 132, the fatigue stress value adjustment unit 133, the fatigue stress state analysis unit 134, and the information storage unit 120 may each be configured by different devices, or may be configured by the same device.

[0158] (Overview of the Embodiment) (1) The analysis system of the present invention is an analysis system for analyzing the fatigue stress state of an organization to which a plurality of members belong, comprising: an information acquisition unit for acquiring information regarding the fatigue stress of the plurality of members; an information storage unit for storing information regarding the individuals of the plurality of members; a fatigue stress value acquisition unit for acquiring the respective fatigue stress values of the plurality of members calculated based on the information regarding the fatigue stress; information regarding the individuals including the health information of the plurality of members; and a predetermined condition for extracting a member to be adjusted including whether a predetermined health state included in the health information is good or not. Based on these, an adjustment target extraction unit for extracting a member to be adjusted from the plurality of members; a fatigue stress value adjustment unit for adjusting a set of fatigue stress values by correcting or excluding from the analysis the fatigue stress values of the members to be adjusted; and a fatigue stress state analysis unit for analyzing the fatigue stress state of the organization based on the adjusted set of fatigue stress values.

[0159] With such a configuration, it is possible to provide an analysis system that improves the analysis accuracy of the fatigue stress state of the organization.

[0160] (2) In the analysis system of (1), the adjustment target extraction unit may extract a member to be adjusted when the predetermined health state is not good, and the fatigue stress value adjustment unit may adjust the set of fatigue stress values by excluding from the analysis the fatigue stress values of the members to be adjusted.

[0161] With such a configuration, it is possible to eliminate the influence of the deterioration of the fatigue stress value due to factors not related to the operation of the organization, and to improve the analysis accuracy of the fatigue stress state of the organization.

[0162] (3) The analysis system of the present invention is an analysis system for analyzing the fatigue stress state of an organization to which a plurality of members belong, comprising an information acquisition unit for acquiring information on the fatigue stress of the plurality of members, an information storage unit for storing information on the individuals of the plurality of members, a fatigue stress value acquisition unit for acquiring the respective fatigue stress values of the plurality of members calculated based on the information on the fatigue stress, information on the individuals including the life events of the plurality of members, and a predetermined condition for extracting members to be adjusted including whether a predetermined life event has occurred, and an adjustment target extraction unit for extracting members to be adjusted from the plurality of members based on the above, and a fatigue stress value adjustment unit for adjusting the set of fatigue stress values by correcting or excluding from the analysis the fatigue stress values of the members to be adjusted, and a fatigue stress state analysis unit for analyzing the fatigue stress state of the organization based on the adjusted set of fatigue stress values.

[0163] With such a configuration, it is possible to provide an analysis system that improves the analysis accuracy of the fatigue stress state of an organization.

[0164] (4) In the analysis system of (3), the adjustment target extraction unit may extract members to be adjusted when a predetermined life event occurs, and the fatigue stress value adjustment unit may adjust the set of fatigue stress values by excluding from the analysis the fatigue stress values of the members to be adjusted.

[0165] With such a configuration, it is possible to eliminate the influence of the deterioration of the fatigue stress value due to factors unrelated to the operation of the organization, and improve the analysis accuracy of the fatigue stress state of the organization.

[0166] (5) In the analysis system of (4), the predetermined life event may include an event that occurred until the time when information on the fatigue stress was acquired from a predetermined past period.

[0167] With such a configuration, life events and the like that are presumed not to be related to the deterioration of the current fatigue stress value can be excluded from consideration as noise factors, and the analysis accuracy can be further improved.

[0168] (6) In any one of the analysis systems from (1) to (5), the information about an individual includes the health information of a plurality of members, the predetermined condition includes whether a predetermined health state included in the health information is good or not, and when the predetermined health state is not good, the adjustment target extraction unit extracts the members to be adjusted, and the fatigue stress value adjustment unit may adjust the set of fatigue stress values by correcting the fatigue stress values of the members to be adjusted.

[0169] With such a configuration, when the fatigue stress value is affected in the long term, such as the onset of a chronic disease, the fatigue stress state of the organization can be analyzed by eliminating the influence not related to the organization by correcting the fatigue stress value according to the disease or the like. Therefore, the analysis accuracy can be improved.

[0170] (7) In the analysis system of (6), the fatigue stress value adjustment unit may adjust the set of fatigue stress values by correcting the fatigue stress values of the members to be adjusted based on the correction coefficient for a predetermined health state.

[0171] With such a configuration, by using the correction coefficient for the health state that may affect the fatigue stress value, the influence not related to the organization can be excluded and the fatigue stress state of the organization can be analyzed. Therefore, the analysis accuracy can be improved.

[0172] (8) In the analysis system of (6), the fatigue stress value adjustment unit may adjust the set of fatigue stress values by correcting the fatigue stress values of the members to be adjusted based on the statistical data of the fatigue stress values for a predetermined health state obtained in advance.

[0173] With such a configuration, statistical data on fatigue stress values with respect to the health condition can be accumulated, so that the accuracy of correction can be improved as the measurement amount increases.

[0174] (9) In any one of the analysis systems from (1) to (8), the information about an individual includes information related to the organization's business, and the adjustment target extraction unit extracts the constituent members of the adjustment target based on the information related to the organization's business, and may adjust the set of fatigue stress values by correcting or excluding from the analysis the fatigue stress values of the constituent members of the adjustment target.

[0175] With such a configuration, among the deterioration factors of the fatigue stress values related to the organization's business, except for a predetermined factor, the fatigue stress state of the organization can be analyzed. Thereby, it is possible to prompt appropriate measures against the deterioration of the fatigue stress value.

[0176] (10) Any one of the analysis systems from (1) to (9) further includes a confidential information storage unit that stores confidential information about an individual that is confidential to the organization, and the fatigue stress state analysis unit may analyze the fatigue stress state of the organization based on the information about an individual stored in the information storage unit and the confidential information about an individual stored in the confidential information storage unit.

[0177] With such a configuration, it is possible to analyze the fatigue stress state of the organization in consideration of the personal information of the constituent members that need to be kept confidential from the organization. Therefore, the accuracy of the analysis can be improved.

[0178] (11) In any one of the analysis systems from (1) to (10), the fatigue stress state analysis unit may analyze the fatigue stress state of the organization by classifying the fatigue stress values into a plurality of categories according to the magnitude of the fatigue stress values.

[0179] With such a configuration, the fatigue stress state of the entire organization can be easily grasped.

[0180] The analysis system of (12) and (11) further includes a display unit that displays the analysis result of the fatigue stress state of the organization, and the analysis result may be displayed as a graph on the display unit.

[0181] With such a configuration, the fatigue stress state of the organization can be visually and easily displayed.

[0182] In any one of the analysis systems from (13) to (12), the information related to fatigue stress may include the biological information of a plurality of members.

[0183] With such a configuration, for example, the fatigue stress state can be analyzed using information obtained from biological information such as autonomic nerve indices.

[0184] The analysis device of the present invention is an analysis device that analyzes the fatigue stress state of an organization to which a plurality of members belong, and includes a fatigue stress value acquisition unit that acquires the respective fatigue stress values of a plurality of members calculated based on information related to the fatigue stress of the plurality of members, information related to individuals of the plurality of members including the health information of the plurality of members, and a predetermined condition for extracting a member to be adjusted including whether or not a predetermined health state included in the health information is good, and an adjustment target extraction unit that acquires the members to be adjusted among the plurality of members extracted based on the above, a fatigue stress value adjustment unit that acquires a set of fatigue stress values adjusted by correcting or excluding the fatigue stress values of the members to be adjusted from the analysis, and a fatigue stress state analysis unit that analyzes the fatigue stress state of the organization based on the set of adjusted fatigue stress values.

[0185] With such a configuration, an analysis device with improved analysis accuracy of the fatigue stress state of the organization can be provided.

[0186] (15) The analyzer of the present invention is an analyzer that analyzes the fatigue stress state of an organization to which a plurality of members belong, and includes a fatigue stress value acquisition unit that acquires the respective fatigue stress values of the plurality of members calculated based on information regarding the fatigue stress of the plurality of members, information regarding the individuals of the plurality of members including the life events of the plurality of members, and a predetermined condition for extracting members to be adjusted including whether or not a predetermined life event has occurred. An adjustment target extraction unit that acquires members to be adjusted among the plurality of members extracted based on the above, a fatigue stress value adjustment unit that acquires a set of fatigue stress values adjusted by correcting or excluding from the analysis the fatigue stress values of the members to be adjusted, and based on the set of adjusted fatigue stress values, A fatigue stress state analysis unit for analyzing the fatigue stress state of the organization.

[0187] With such a configuration, it is possible to provide an analyzer that improves the analysis accuracy of the fatigue stress state of an organization.

[0188] (16) In the analyzer of (14) or (15), at least one of the fatigue stress value acquisition unit, the adjustment target extraction unit, or the fatigue stress value adjustment unit may be configured by a communication circuit and receive information from an external device.

[0189] With such a configuration, the fatigue stress value acquisition unit, the adjustment target extraction unit, the fatigue stress value adjustment unit, and the fatigue stress state analysis unit can be configured by different servers or the like, respectively.

[0190] (17) The analysis method of the present invention is a method for analyzing the fatigue stress state of an organization to which a plurality of members belong, including steps of obtaining information related to the fatigue stress of the plurality of members, obtaining information related to the individuals of the plurality of members, calculating the respective fatigue stress values of the plurality of members based on the information related to the fatigue stress, extracting, based on the information related to the individuals including the health information of the plurality of members and a predetermined condition for extracting members to be adjusted including whether a predetermined health state included in the health information is good or not, members to be adjusted among the plurality of members, adjusting the set of fatigue stress values by correcting or excluding from the analysis the fatigue stress values of the members to be adjusted based on the information related to the individuals being a predetermined value, and analyzing the fatigue stress state of the organization based on the adjusted set of fatigue stress values.

[0191] With such a configuration, it is possible to provide an analysis method that improves the analysis accuracy of the fatigue stress state of the organization.

[0192] (18) The analysis method of the present invention is a method for analyzing the fatigue stress state of an organization to which a plurality of members belong, including steps of obtaining information related to the fatigue stress of the plurality of members, obtaining information related to the individuals of the plurality of members, calculating the respective fatigue stress values of the plurality of members based on the information related to the fatigue stress, extracting, based on the information related to the individuals including the life events of the plurality of members and a predetermined condition for extracting members to be adjusted including whether a predetermined life event has occurred or not, members to be adjusted among the plurality of members, adjusting the set of fatigue stress values by correcting or excluding from the analysis the fatigue stress values of the members to be adjusted based on the information related to the individuals being a predetermined value, and analyzing the fatigue stress state of the organization based on the adjusted set of fatigue stress values.

[0193] With such a configuration, it is possible to provide an analysis method that improves the analysis accuracy of the fatigue stress state of the organization.

[0194] (19) The program of the present invention causes a computer to execute the method described in (17) or (18).

[0195] (20) The recording medium of the present invention records the program of (19).

Industrial Applicability

[0196] The analysis system, analysis device, and analysis method of the present invention are useful when analyzing the fatigue stress state of an organization to which a plurality of members belong.

Explanation of Signs

[0197] 1, 1A, 2, 3 Analysis system 10 Measuring device 20, 120 Information storage unit 30 Control unit 31, 131 Fatigue stress value acquisition unit 32, 132 Adjustment target extraction unit 33, 133 Fatigue stress value adjustment unit 34, 134 Fatigue stress state analysis unit 40 Display unit 50 Confidential information storage unit 110 Measurement data 111 Information acquisition unit

Claims

1. An analysis system for analyzing the fatigue stress state of an organization to which a plurality of members belong, an information acquisition unit that acquires information on the fatigue stress of the plurality of members, an information storage unit that stores information on the individuals of the plurality of members, a fatigue stress value acquisition unit that acquires the respective fatigue stress values of the plurality of members calculated based on the information on the fatigue stress, a target extraction unit that extracts target members to be adjusted from the plurality of members based on the information on the individuals including the health information of the plurality of members and a predetermined condition for extracting target members to be adjusted including whether a predetermined health state is good or not, a fatigue stress value adjustment unit that adjusts the set of fatigue stress values by correcting or excluding from the analysis the fatigue stress values of the target members to be adjusted, a fatigue stress state analysis unit that analyzes the fatigue stress state of the organization based on the adjusted set of fatigue stress values, comprising, an analysis system.

2. The target extraction unit extracts the target members to be adjusted when the predetermined health state is not good, and the fatigue stress value adjustment unit adjusts the set of fatigue stress values by excluding from the analysis the fatigue stress values of the target members to be adjusted, The analysis system according to Claim 1.

3. An analysis system for analyzing the fatigue stress state of an organization to which a plurality of members belong, an information acquisition unit that acquires information on the fatigue stress of the plurality of members, an information storage unit that stores information on the individuals of the plurality of members, a fatigue stress value acquisition unit that acquires the respective fatigue stress values of the plurality of members calculated based on the information on the fatigue stress, a target extraction unit that extracts target members to be adjusted from the plurality of members based on the information on the individuals including the life events of the plurality of members and a predetermined condition for extracting target members to be adjusted including whether a predetermined life event has occurred or not, a fatigue stress value adjustment unit that adjusts the set of fatigue stress values by correcting or excluding from the analysis the fatigue stress values of the target members to be adjusted, a fatigue stress state analysis unit that analyzes the fatigue stress state of the organization based on the adjusted set of fatigue stress values, comprising, an analysis system.

4. When the predetermined life event occurs, the adjustment target extraction unit extracts the members to be adjusted, The fatigue stress value adjustment unit adjusts the set of fatigue stress values by excluding the fatigue stress values of the members to be adjusted from the analysis. The analysis system according to claim 3.

5. The predetermined life event includes an event that occurred from a predetermined past time until the information regarding the fatigue stress was acquired. The analysis system according to claim 4.

6. The information regarding the individual includes the health information of the plurality of members. The predetermined condition includes whether or not a predetermined health state included in the health information is good. When the predetermined health state is not good, the adjustment target extraction unit extracts the members to be adjusted. The fatigue stress value adjustment unit adjusts the set of fatigue stress values by correcting the fatigue stress values of the members to be adjusted. The analysis system according to claim 1.

7. The fatigue stress value adjustment unit adjusts the set of fatigue stress values by correcting the fatigue stress values of the members to be adjusted based on a correction coefficient for the predetermined health state. The analysis system according to claim 6.

8. The fatigue stress value adjustment unit adjusts the set of fatigue stress values by correcting the fatigue stress values of the members to be adjusted based on the statistical data of the fatigue stress values for the predetermined health state acquired in advance. The analysis system according to claim 6.

9. The information regarding the individual includes information related to the business of the organization. The adjustment target extraction unit extracts the members to be adjusted based on the information related to the business of the organization. The fatigue stress value adjustment unit adjusts the set of fatigue stress values by correcting or excluding from the analysis the fatigue stress values of the members to be adjusted. The analysis system according to claim 1.

10. Furthermore, A confidential information storage unit that stores confidential information regarding an individual that is confidential to the organization, is provided, The fatigue stress state analysis unit analyzes the fatigue stress state of the organization based on the information regarding the individual stored in the information storage unit and the confidential information regarding the individual stored in the confidential information storage unit. The analysis system according to claim 1.

11. The fatigue stress state analysis unit analyzes the fatigue stress state of the organization by classifying the fatigue stress value into a plurality of categories according to the magnitude of the fatigue stress value. The analysis system according to claim 1.

12. Furthermore, it includes a display unit that displays the analysis result of the fatigue stress state of the organization. The analysis result is displayed in a graph on the display unit. The analysis system according to claim 11.

13. The information regarding the fatigue stress includes the biological information of the plurality of members. The analysis system according to any one of claims 1 to 12.

14. An analysis device for analyzing the fatigue stress state of an organization to which a plurality of members belong, a fatigue stress value acquisition unit that acquires the respective fatigue stress values of the plurality of members, calculated based on the information regarding the fatigue stress of the plurality of members; an adjustment target extraction unit that extracts, based on the information regarding the individuals of the plurality of members including the health information of the plurality of members and a predetermined condition for extracting an adjustment target member including whether or not a predetermined health state included in the health information is good, the adjustment target members among the plurality of members; a fatigue stress value adjustment unit that acquires a set of the fatigue stress values adjusted by correcting or excluding from the analysis the fatigue stress values of the adjustment target members; a fatigue stress state analysis unit that analyzes the fatigue stress state of the organization based on the set of the adjusted fatigue stress values; comprising: an analysis device.

15. An analysis device for analyzing the fatigue stress state of an organization to which a plurality of members belong, a fatigue stress value acquisition unit that acquires the respective fatigue stress values of the plurality of members, calculated based on the information regarding the fatigue stress of the plurality of members; an adjustment target extraction unit that extracts, based on the information regarding the individuals of the plurality of members including the life events of the plurality of members and a predetermined condition for extracting an adjustment target member including whether or not a predetermined life event has occurred, the adjustment target members among the plurality of members; a fatigue stress value adjustment unit that acquires a set of the fatigue stress values adjusted by correcting or excluding from the analysis the fatigue stress values of the adjustment target members; a fatigue stress state analysis unit that analyzes the fatigue stress state of the organization based on the set of the adjusted fatigue stress values; comprising: an analysis device.

16. At least one of the fatigue stress value acquisition unit, the adjustment target extraction unit, or the fatigue stress value adjustment unit is constituted by a communication circuit and receives information from an external device. The analysis device according to claim 14 or 15.

17. A method for analyzing the fatigue stress state of an organization to which a plurality of members belong, which is executed by a computer, a step of acquiring information on the fatigue stress of the plurality of members; a step of acquiring information on the individuals of the plurality of members; a step of calculating the respective fatigue stress values of the plurality of members based on the information on the fatigue stress; a step of extracting, from the plurality of members, members to be adjusted based on the information on the individuals including the health information of the plurality of members and a predetermined condition for extracting members to be adjusted including whether or not a predetermined health state included in the health information is good; a step of adjusting the set of the fatigue stress values by correcting or excluding from the analysis the fatigue stress value of the member to be adjusted based on the information on the individual being a predetermined value; a step of analyzing the fatigue stress state of the organization based on the adjusted set of the fatigue stress values; including analysis method.

18. A method for analyzing the fatigue stress state of an organization to which a plurality of members belong, which is executed by a computer, a step of acquiring information on the fatigue stress of the plurality of members; a step of acquiring information on the individuals of the plurality of members; a step of calculating the respective fatigue stress values of the plurality of members based on the information on the fatigue stress; a step of extracting, from the plurality of members, members to be adjusted based on the information on the individuals including the life events of the plurality of members and a predetermined condition for extracting members to be adjusted including whether or not a predetermined life event has occurred; a step of adjusting the set of the fatigue stress values by correcting or excluding from the analysis the fatigue stress value of the member to be adjusted based on the information on the individual being a predetermined value; a step of analyzing the fatigue stress state of the organization based on the adjusted set of the fatigue stress values; including analysis method.

19. A program for causing a computer to execute the method according to claim 17 or 18.

20. A recording medium on which the program according to Claim 19 is recorded.

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