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

Abstract

This invention provides an analysis system for improving the accuracy of analyzing the fatigue stress state of an organization. The analysis system analyzes the fatigue stress state of an organization to which multiple members belong, and includes: an information acquisition unit for acquiring information related to the fatigue stress of multiple members; an information storage unit for storing personal information related to the multiple members; a fatigue stress value acquisition unit for acquiring the fatigue stress value of each member among the multiple members, calculated based on the fatigue stress-related information; an adjustment target extraction unit for extracting adjustment target members from the multiple members based on personal information related to the health information of the multiple members and predetermined conditions for extracting adjustment target members based on whether the health status included in the health information is good; and a fatigue stress state analysis unit for adjusting the set of fatigue stress values ​​by correcting the fatigue stress values ​​of adjustment target members or excluding the fatigue stress values ​​of adjustment target members from the analysis, and analyzing the fatigue stress state of the organization based on the adjusted set of fatigue stress values.

Description

Technical Field

[0001] This invention relates to an analytical system, analytical apparatus, analytical method, program, and recording medium for analyzing the fatigue stress state of tissues. Background Technology

[0002] Patent document 1 describes a lifestyle improvement assistance system that determines an individual's stress level and provides suggestions corresponding to that stress level.

[0003] Patent Document 1: Japanese Patent Application Publication No. 2000-311192

[0004] The lifestyle improvement assistance system described in Patent Document 1 has room for improvement in terms of increasing the accuracy of analyzing the fatigue stress state of tissues. Summary of the Invention

[0005] This invention provides an analysis system, analysis device, analysis method, program, and recording medium for improving the accuracy of analyzing the fatigue stress state of tissues.

[0006] One aspect of the analysis system of the present invention is an analysis system for analyzing the fatigue stress state of an organization to which multiple members belong, comprising:

[0007] The information acquisition department acquires information related to the fatigue stress of the aforementioned members.

[0008] The information storage department stores personal information related to the aforementioned members.

[0009] The fatigue pressure value acquisition unit acquires the fatigue pressure value of each of the above-mentioned multiple members, calculated based on information related to the fatigue pressure mentioned above.

[0010] The adjustment target extraction unit extracts the adjustment target members from the multiple members based on information related to the individuals mentioned above, which includes health information of the aforementioned multiple members, and on the specified conditions for extracting adjustment target members based on whether the health status included in the aforementioned health information is good.

[0011] The fatigue pressure value adjustment unit adjusts the set of fatigue pressure values ​​by correcting the fatigue pressure values ​​of the members to be adjusted or by excluding the fatigue pressure values ​​of the members to be adjusted from the analysis; and

[0012] The fatigue stress state analysis unit analyzes the fatigue stress state of the aforementioned tissue based on the adjusted set of the aforementioned fatigue stress values.

[0013] One aspect of the analytical apparatus of the present invention is an analytical apparatus for analyzing the fatigue stress state of tissues to which multiple members belong, comprising:

[0014] The fatigue pressure value acquisition unit acquires the fatigue pressure value of each of the multiple members calculated based on information related to the fatigue pressure of the multiple members.

[0015] The adjustment object extraction unit obtains the adjustment object members among the above-mentioned multiple members, wherein the adjustment object members are extracted based on the personal information of the above-mentioned multiple members that includes health information of the above-mentioned multiple members and the prescribed conditions for extracting adjustment object members based on whether the prescribed health status contained in the above-mentioned health information is good;

[0016] The fatigue pressure value adjustment unit acquires a set of fatigue pressure values ​​adjusted by correcting the fatigue pressure values ​​of the members to be adjusted or excluding the fatigue pressure values ​​of the members to be adjusted from the analysis; and

[0017] The fatigue stress state analysis unit analyzes the fatigue stress state of the aforementioned tissue based on the adjusted set of the aforementioned fatigue stress values.

[0018] One aspect of the present invention is an analysis method for analyzing the fatigue stress state of an organization to which multiple members belong, comprising:

[0019] The steps to obtain information related to the fatigue stress of the aforementioned members;

[0020] Steps for obtaining personal information related to the aforementioned members;

[0021] Based on the information related to the fatigue pressure mentioned above, the fatigue pressure value of each of the above members is calculated.

[0022] The step of extracting adjustment target members from the above-mentioned multiple members is based on the information related to the above-mentioned individuals that includes health information of the above-mentioned multiple members and the prescribed conditions for extracting adjustment target members based on whether the health status contained in the above-mentioned health information is good.

[0023] The step of adjusting the set of fatigue stress values ​​by modifying the fatigue stress values ​​of the adjustment target members or excluding the fatigue stress values ​​of the adjustment target members from the analysis based on the aforementioned specified values ​​of information related to the aforementioned individuals; and

[0024] The steps for analyzing the fatigue stress state of the aforementioned tissues are based on the adjusted set of the aforementioned fatigue stress values.

[0025] One method of this disclosure provides a procedure that enables a computer to perform the methods described above.

[0026] The above-described procedure is recorded in a recording medium according to one aspect of this disclosure.

[0027] According to the present invention, an analysis system, analysis apparatus, analysis method, program, and recording medium are provided to improve the accuracy of analysis of the fatigue stress state of tissues. Attached Figure Description

[0028] Figure 1 This is a block diagram representing the analysis system of Implementation Method 1.

[0029] Figure 2 It is a table that represents the fatigue stress value of each member of the organization, as well as other personal information.

[0030] Figure 3 It is a table representing the heartbeat intervals of a certain member.

[0031] Figure 4 This is a table representing the analysis results of the fatigue pressure state of an organization as analyzed by the fatigue pressure state analysis department.

[0032] Figure 5 Yes Figure 1 The flowchart illustrates the analysis methods used in the analysis system.

[0033] Figure 6 This is a flowchart illustrating the steps for extracting and adjusting object members.

[0034] Figure 7 This is a table showing the analysis results of the fatigue stress state of the tissue in Modification 1 of Embodiment 1.

[0035] Figure 8 This is a block diagram illustrating the analysis system of a variation of implementation 1, Example 2.

[0036] Figure 9 It means Figure 8 A figure showing an example of the analysis results displayed by the display unit of the analysis system.

[0037] Figure 10 It means Figure 8 The analysis system's display unit shows other examples of analysis results.

[0038] Figure 11 This is a flowchart illustrating the steps of the analysis system in Implementation 2 to extract and adjust target members.

[0039] Figure 12 It is a table that represents the individual fatigue stress values ​​of members of the organization, as well as other personal information.

[0040] Figure 13 This is a table representing correction factors for health status.

[0041] Figure 14This is a chart showing an example of statistical data used in the analysis system of Variation 1 of Implementation 2.

[0042] Figure 15 This is a flowchart illustrating the steps of extracting and adjusting target members in the analysis system of Implementation Method 3.

[0043] Figure 16 It is a table that represents the fatigue stress value of each member of the organization, as well as other personal information.

[0044] Figure 17 This is a block diagram representing the analysis system of implementation method 4.

[0045] Figure 18 It means Figure 17 The flowchart of the analysis method in analysis system 2.

[0046] Figure 19 This is a block diagram showing the structure of the analysis system 3 in implementation method 5.

[0047] Explanation of reference numerals in the attached figures

[0048] 1, 1A, 2, 3… Analysis system; 10… Measuring device; 20, 120… Information storage unit; 30… Control unit; 31, 131… Fatigue pressure value acquisition unit; 32, 132… Adjustment object extraction unit; 33, 133… Fatigue pressure value adjustment unit; 34, 134… Fatigue pressure state analysis unit; 40… Display unit; 50… Confidential information storage unit; 110… Measurement data; 111… Information acquisition unit. Detailed Implementation

[0049] (The process of completing this invention)

[0050] Patent Document 1 describes a lifestyle improvement assistance system that determines an individual's stress level and provides corresponding lifestyle recommendations. In the lifestyle improvement assistance system of Patent Document 1, the determination of stress level is based, for example, on data related to the individual's living conditions, or on biological data such as the individual's weight or body temperature.

[0051] In recent years, there has been a demand to apply information related to the fatigue stress of each individual within an organization to organizational operations. For example, research has been conducted to analyze the fatigue stress status of an organization, and in cases where an employee's fatigue stress has worsened due to work-related factors, measures such as reducing that employee's workload can be taken to improve work efficiency. Here, the organization's fatigue stress status, for example, indicates the percentage of members within the organization experiencing high fatigue stress, including statistics on the fatigue stress values ​​of each individual member. A high level of fatigue stress refers to a state where at least one of fatigue or stress is elevated.

[0052] As in Patent Document 1, when analyzing fatigue stress states based on personal data or biological data, factors unrelated to the organization can cause deterioration of stress states, interfering with the analysis of organizational stress states. Such deterioration of fatigue stress states due to factors unrelated to the organization refers, for example, to deterioration of fatigue stress states caused by an individual's health status or life events such as weddings or funerals.

[0053] The inventors discovered that by treating the deterioration of fatigue stress state caused by such individual circumstances as interference, the accuracy of tissue fatigue stress state analysis can be improved, and thus the following invention was completed.

[0054] Hereinafter, embodiments of the present invention will be described with reference to the accompanying drawings.

[0055] (Implementation Method 1)

[0056] [Overall Structure]

[0057] Figure 1 This is a block diagram illustrating the analysis system of Implementation Method 1. (Refer to...) Figure 1 The analysis system 1 will be described.

[0058] Analysis System 1 is a system for analyzing the fatigue stress state of an organization to which multiple members belong. Analysis System 1 analyzes the fatigue stress state of the organization based on information related to the fatigue stress of the multiple members. Analysis System 1 includes a measuring device 10, an information storage unit 20, and a control unit 30. The fatigue stress-related information may include at least one of fatigue-related information or pressure-related information, or may not necessarily include information related to both fatigue and pressure. The fatigue stress state of the organization may represent, for example, the proportion of members with a high degree of fatigue stress, the presence or absence of members with a high degree of fatigue, or the presence or absence of members with a high degree of pressure, and includes statistics on the fatigue stress values ​​of each member.

[0059] <Measuring Apparatus>

[0060] The measuring device 10 is a device for acquiring information related to the fatigue stress of multiple members. The fatigue stress-related information includes, for example, biological information, auditory and visual characteristics, or physical movements of each member, which can measure or infer at least one of the fatigue level or stress level of each member. Fatigue level indicates the degree of fatigue experienced by a member, while stress level indicates the degree of stress experienced by a member. Sometimes, fatigue level and stress level are referred to together as fatigue stress level.

[0061] In this embodiment, the measuring device 10 is, for example, composed of a biosensor capable of measuring the biological information of a member. Biological information refers to various physiological and anatomical information emitted by an organism. Examples of biological information include, for instance, body temperature, heart rate, pulse, respiratory rate, and brainwaves.

[0062] In this embodiment, the measuring device 10 is a device capable of measuring the member's heart rate interval as biological information of the member. Alternatively, the measuring device 10 may also measure the member's pulse as biological information of the member. The so-called heart rate interval refers to the interval between the R waves and the times when the R waves occur on an electrocardiogram. Periodic variations are usually observed in the heart rate interval. The periodic variations in the heart rate interval are called heart rate variations. Using heart rate variations, indicators representing a state of fatigue or stress can be calculated. As indicators representing a state of fatigue or stress, examples include autonomic nervous system indicators. Alternatively, as indicators representing a state of fatigue or stress, the concentration of reactive oxygen species in the blood, the value of lipids contained in the blood, the total amount of proteins in the blood, or the concentration of amino acids in the blood can also be used. Indicators representing a state of fatigue or stress can also be calculated by testing the activity of HHV6 (human herpesvirus) in saliva, by PVT testing to measure fatigue based on reaction speed, or by testing based on an activity measurement device using acceleration or GPS. In this embodiment, an indicator representing at least one of the degree of fatigue or the degree of stress is called a fatigue stress value.

[0063] The measuring device 10 is, for example, a heartbeat sensor or other device used to measure heartbeat intervals. Alternatively, the measuring device 10 may also be a wearable device such as a smartwatch with a heartbeat sensor.

[0064] Information related to fatigue pressure obtained by the measuring device 10 is stored, for example, in the storage section of the control unit 30, which will be described later.

[0065] <Information Storage Department>

[0066] The information storage unit 20 stores personal information related to multiple members. Personal information includes, for example, a member's health information, information about life events, or information related to the organization's work.

[0067] Health information includes, for example, health diagnoses, past medical history, current symptoms (presence or absence of disease), and allergies—information related to a member's health status. Additionally, health information may include the degree of health status, such as the severity of illness or allergies. Life events, such as weddings, funerals, caregiving, or childcare, are personal information that may affect fatigue and stress levels. More specifically, life events related to the individual include starting or ending school, employment, a side job, marriage (including wedding preparations), divorce (including divorce mediation), separation from a spouse, illness, or accidents. Life events related to relatives or acquaintances include pregnancy, childbirth, childcare, caregiving, marriage, divorce, starting school, transferring schools, dropping out of school, employment, career change, or retirement. Life events may also include moving, separation from relatives or acquaintances due to events or accidents. Furthermore, as life events, examples could include personal or family members experiencing harm from fraud, or personal or family members causing or being involved in incidents / accidents. Work-related information, such as overtime hours, business trips, and personnel changes, is among the work-related information that may influence a member's level of fatigue and stress.

[0068] The information storage unit 20 consists of storage devices such as memory, HDD (Hard Disk Drive) or SSD (Solid State Drive).

[0069] Personal information can be entered via input terminals such as PCs, tablets, and smartphones. This personal information can be entered by members representing the organization, or by each member entering their own information.

[0070] <Control Department>

[0071] The control unit 30 analyzes the organization's fatigue stress state based on information related to fatigue stress and information related to individuals. The organization's fatigue stress state includes, for example, statistics on the fatigue stress values ​​of each member.

[0072] An organization’s fatigue stress status can be represented by the fatigue stress values ​​of its members, for example by the number or proportion of members with higher fatigue stress values, i.e., higher levels of either fatigue or stress.

[0073] In this embodiment, the control unit 30 includes a fatigue pressure value acquisition unit 31, an adjustment target extraction unit 32, a fatigue pressure value adjustment unit 33, and a fatigue pressure state analysis unit 34. Furthermore, the control unit 30 is equivalent to the "analysis device" of this embodiment.

[0074] The control unit 30 includes a general-purpose processor such as a CPU or MPU that executes programs to perform the specified functions. Additionally, the control unit 30 includes a storage unit (not shown). The control unit 30 performs the functions of the fatigue pressure value acquisition unit 31, the adjustment object extraction unit 32, the fatigue pressure value adjustment unit 33, and the fatigue pressure state analysis unit 34, for example, by retrieving and executing a control program stored in the storage unit. The control unit 30 is not limited to performing the specified functions through hardware and software cooperation; it can also be a specially designed hardware circuit that performs the specified functions. That is, the control unit 30 can be implemented using various processors such as CPUs, MPUs, FPGAs, DSPs, and ASICs.

[0075] Next, the various components of the control unit 30 will be explained.

[0076] <Fatigue Stress Value Acquisition Department>

[0077] The fatigue pressure value acquisition unit acquires the fatigue pressure value by calculating the fatigue pressure value of each of the multiple members based on information related to fatigue pressure. The fatigue pressure value is calculated based on, for example, heart rate intervals acquired by the measuring device 10.

[0078] Specifically, autonomic nervous system indicators are calculated using the power spectrum of the periodic variations in heart rate intervals, i.e., the low-frequency band (LF) and the high-frequency band (HF). LF mainly contains sympathetic components, while HF mainly contains parasympathetic components.

[0079] For example, the total power (TP) shown by the sum of LF and HF is mainly an autonomic nervous system indicator related to fatigue level; the smaller the TP value, the higher the fatigue level. Alternatively, the ccvTP obtained by adjusting TP using heart rate, or the D-score obtained by biasing ccvTP by age, can also be used as an indicator related to fatigue level.

[0080] In addition, the LF / HF ratio, which represents the balance between the LF and HF (i.e., the balance between the sympathetic and parasympathetic nervous systems), indicates the activity level of the sympathetic nervous system and is an autonomic nervous system indicator associated with stress levels. A higher LF / HF value indicates a higher level of stress.

[0081] In this embodiment, the fatigue stress value acquisition unit 31 calculates, for example, autonomic nervous system indicators such as TP or LF / HF as the fatigue stress value. The fatigue stress value acquisition unit 31 may also calculate, for example, either TP, which represents the degree of fatigue, or LF / HF, which represents the degree of stress, or it may calculate both TP and LF / HF.

[0082] Figure 2 It is a table that represents the individual fatigue stress values ​​and related information of members A to I of the organization. Figure 3 It is a table representing the heartbeat intervals of a certain member.

[0083] like Figure 2 As shown, in this embodiment, the heart rate intervals of each member A to I are obtained as information related to fatigue stress. Figure 3 As shown, for example, the heartbeat intervals of a time series over a specified period (from time T1 to time Tn) are obtained. This is based on the fatigue pressure value acquisition unit 31. Figure 3 The heart rate interval is shown to calculate the fatigue stress value. In this embodiment, autonomic nervous system indicators are calculated based on the heart rate interval. Furthermore, Figure 2 The fatigue pressure value shown represents TP.

[0084] The fatigue pressure value calculated by the fatigue pressure value acquisition unit 31 ( Figure 2 (The fatigue pressure value before adjustment) is stored, for example, in the storage section of the control section 30.

[0085] <Adjustment of Object Extraction Department>

[0086] The adjustment target extraction unit 32 extracts adjustment target members from multiple members of the organization based on personal information stored in the information storage unit 20 and the prescribed conditions for extracting adjustment target members.

[0087] Among the members of an organization, there are sometimes individuals with high levels of fatigue stress due to personal factors other than those related to the organization's work, such as health status or specific life events. To exclude such members from the analysis of the organization's fatigue stress status, the adjustment object extraction unit 32 extracts their fatigue stress values. By excluding the fatigue stress values ​​of members with high levels of fatigue stress due to personal factors from the analysis, it is possible to analyze fatigue stress primarily caused by factors related to the organization.

[0088] like Figure 2As shown, the personal information includes a member's health information or life events. In this embodiment, personal information includes whether life events such as caregiving, marriage, childbirth, or death have occurred, as well as whether there have been injuries caused by accidents. Life events are not limited to these; various other life events such as childcare, moving, and divorce can be used. In addition, as health information, the member's health status, such as whether they have any diseases or health diagnosis results, can also be used.

[0089] In addition, as a prescribed condition, the health information includes whether the prescribed health status is good or whether a prescribed life event has occurred.

[0090] The adjustment target extraction unit 32 refers to the personal information stored in the information storage unit and extracts the member as the adjustment target member when the member's health condition is poor or when a member has experienced a specified life event.

[0091] For example, in Figure 2 In the example, member A is selected as a member subject to adjustment because of the life event of marriage. Similarly, member E is selected as a member subject to adjustment because of the life event of the death of a relative. Furthermore, member H is selected as a member subject to adjustment because of the life event of giving birth to themselves or a relative.

[0092] The adjustment object members extracted by the adjustment object extraction unit 32 are stored, for example, in the storage unit of the control unit 30.

[0093] <Fatigue Pressure Adjustment Section>

[0094] The fatigue pressure value adjustment unit 33 adjusts the set of fatigue pressure values ​​by correcting the fatigue pressure values ​​of the members to be adjusted or by excluding the fatigue pressure values ​​of the members to be adjusted from the analysis. In this embodiment, the fatigue pressure value adjustment unit 33 adjusts the set of fatigue pressure values ​​by excluding the fatigue pressure values ​​of the members to be adjusted from the objects being analyzed.

[0095] The so-called set of fatigue stress values ​​is Figure 2 The fatigue pressure value set is shown as a collection of fatigue pressure values ​​for each member A to I. The fatigue pressure value adjustment unit 33 stores the fatigue pressure values ​​of each member A to I in the storage unit of the control unit 30 as a collection of fatigue pressure values. The fatigue pressure value adjustment unit 33 adjusts the collection of fatigue pressure values ​​by excluding the fatigue pressure values ​​of members A, E, and H, which are extracted as the adjustment targets. Therefore, the adjusted collection of fatigue pressure values ​​consists of the fatigue pressure values ​​of members B to D, F, G, and I, excluding the fatigue pressure values ​​of members A, E, and H.

[0096] The set of fatigue pressure values ​​adjusted by the fatigue pressure value adjustment unit 33 is stored, for example, in the storage unit of the control unit 30.

[0097] <Fatigue Stress State Analysis Department>

[0098] The fatigue pressure state analysis unit 34 analyzes the fatigue pressure state of the organization based on the set of fatigue pressure values ​​adjusted by the fatigue pressure value adjustment unit 33.

[0099] The analysis of the stress state of an organization includes, for example, classifying the set of adjusted fatigue stress values ​​into multiple categories corresponding to the magnitude of the fatigue stress values. Figure 2 The fatigue pressure value is represented by TP, so the lower the value, the higher the degree of fatigue pressure. The fatigue pressure state analysis unit 34 classifies the fatigue pressure value into three categories: "low", "medium", and "high" according to the magnitude of the value. That is, the fatigue pressure state analysis unit 34 classifies fatigue pressure values ​​with a high degree of fatigue pressure into the "high" category, fatigue pressure values ​​with a moderate degree of fatigue pressure into the "medium" category, and fatigue pressure values ​​with a low degree of fatigue pressure into the "low" category.

[0100] Fatigue stress values ​​can also be classified based on predetermined thresholds. For example, fatigue stress values ​​can be classified as follows: below a first threshold as "high," above the first threshold but below a second threshold as "medium," and above the second threshold as "low." Figure 2 In the example, the first threshold is 50, and the second threshold is 70 (refer to...). Figure 4 ).

[0101] Figure 4 This is a table showing the analysis results of the fatigue pressure state of the organization analyzed by the fatigue pressure state analysis unit 34. For example... Figure 4 As shown, within the organization to which members A through I belong, the fatigue stress state analysis unit 34 categorizes the fatigue stress values ​​of each member into three categories. The results show that, excluding members A, E, and H who are the subjects of adjustment, 57.1% of the members have low fatigue stress, 14.3% have moderate fatigue stress, and 28.6% have high fatigue stress.

[0102] [Analysis Methods]

[0103] Figure 5 Yes Figure 1 A flowchart illustrating the analysis method in analysis system 1. (Refer to...) Figure 5 The analysis methods in analysis system 1 will be explained.

[0104] First, the control unit 30 acquires fatigue stress-related information for each of the multiple members (step S11). The fatigue stress-related information, such as the heart rate interval of each member measured by the measuring device 10 capable of acquiring the heart rate interval, is stored in the storage unit of the control unit 30.

[0105] Next, the control unit 30 acquires personal information related to multiple members (step S12). This personal information is input by each member or a member representing the organization using an input terminal such as a PC, tablet PC, or smartphone, and stored in the information storage unit 20. The control unit 30 acquires the personal information by referring to the personal information stored in the information storage unit 20, or by storing the personal information stored in the information storage unit 20 in the storage unit of the control unit 30.

[0106] Next, the fatigue stress value acquisition unit 31 calculates the fatigue stress value of each of the multiple members based on the fatigue stress-related information acquired in step S11 (step S13). As described above, the fatigue stress value is calculated in this embodiment, for example, based on an autonomic nervous system index calculated from the heart rate interval.

[0107] Next, the adjustment object extraction unit 32 extracts adjustment object members from multiple members based on personal information and prescribed conditions for extracting adjustment object members (step S14). Adjustment object members refer to members whose fatigue stress values ​​have been corrected, or members excluded from the analysis of the organization's fatigue stress state.

[0108] Figure 6 This is a flowchart illustrating the steps for extracting and adjusting object members. (Refer to...) Figure 6 The detailed steps for extracting and adjusting object members are explained.

[0109] The adjustment object extraction unit 32 determines whether a prescribed life event has occurred in a member (step S131). The adjustment object extraction unit 32 refers to information related to the member's individual circumstances; if the occurrence of the prescribed life event is confirmed ("Yes" in step S131), it proceeds to step S133. For example... Figure 2 As shown in the example, the defined life events include caregiving, marriage, childbirth, death, etc. The adjustment object extraction unit 32 refers to the information related to the member's personality, and if the defined life event does not occur (No in step S131), proceeds to step S132.

[0110] If no prescribed life event has occurred (No in step S131), the adjustment target extraction unit 32 determines whether the prescribed health status contained in the member's health information is good (step S132). If the information related to the member's personal health includes, for example, illness or injury, the adjustment target extraction unit 32 determines that the health status is poor (No in step S132) and proceeds to step S133. Alternatively, if the information related to the member's personal health does not include illness or injury (Yes in step S131), the adjustment target extraction unit 32 ends the extraction step for the adjustment target employee.

[0111] If a member's prescribed life event occurs ("Yes" in step S131) ​​or if their health condition is poor, that member is extracted as an adjustment target. For example, in Figure 2 In the example, member A is extracted as the subject of adjustment because a prescribed life event (marriage) has occurred. Similarly, members E and H are also extracted as subjects of adjustment.

[0112] In the step of extracting adjustment target members, for each member, it is determined whether a specified life event has occurred and whether their health status is good, and then the member is selected as the adjustment target.

[0113] Return to Figure 5 After extracting the members to be adjusted, the fatigue pressure value adjustment unit 33 adjusts the fatigue pressure value of the members to be adjusted (step S15). In this embodiment, the fatigue pressure value adjustment unit 33 excludes the fatigue pressure value of the members to be adjusted from the objects being analyzed. As a result, as Figure 2 As shown, the set of fatigue stress values ​​was adjusted to be the set of fatigue stress values ​​of the seven members (excluding members A, E, and H) out of the ten members A to I of the organization.

[0114] Next, the fatigue stress state analysis unit 34 analyzes the fatigue stress state of the tissue (step S16). The analysis of the tissue's fatigue stress state is based on the set of fatigue stress values ​​adjusted in step S15. For example, in Figure 2 In the example, the fatigue pressure values ​​in the adjusted set of fatigue pressure values ​​are classified into three categories: less than 50, 50 or more but less than 70, and 70 or more. By calculating the proportion or number of people in each category within the overall set of fatigue pressure values, we can obtain... Figure 4 The analysis results are as shown.

[0115] [Effect]

[0116] According to implementation method 1, the following effects can be achieved.

[0117] Analysis System 1 is an analysis system for analyzing the fatigue stress state of an organization to which multiple members belong, and includes a measuring device 10, an information storage unit 20, and a control unit 30. The measuring device 10 acquires information related to the fatigue stress of the multiple members. The information storage unit 20 stores individual information related to the multiple members. The control unit 30 analyzes the fatigue stress state of the organization based on the fatigue stress-related information and the individual information. The fatigue stress value acquisition unit 31 of the control unit 30 calculates the fatigue stress value of each member among the multiple members based on the fatigue stress-related information. The adjustment target extraction unit 32 of the control unit 30 extracts adjustment target members from the multiple members based on individual information and predetermined conditions for extracting adjustment target members. 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 adjustment target members or excluding the fatigue stress values ​​of adjustment target members from the analysis. 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.

[0118] This structure enables the provision of an analytical system that improves the accuracy of analyzing an organization's fatigue stress state. Specifically, by excluding fatigue stress values ​​of members with high levels of fatigue or stress due to factors unrelated to the organization, the system can analyze the organization's fatigue stress state caused by factors relevant to the organization. By excluding factors unrelated to the organization, the results of the fatigue stress state analysis can be used to improve organizational operations.

[0119] For example, when a member experiences life events such as marriage, childbirth, or death, or when their health deteriorates, that member may temporarily experience a higher level of fatigue and stress. If the fatigue and stress values ​​of such members are included in the analysis of the organization's fatigue and stress status, the analysis results may worsen the fatigue and stress state, even if the organization is well-managed. Therefore, by excluding the fatigue and stress values ​​of members whose fatigue and stress levels are temporarily inferred to be higher due to life events or poor health, the fatigue and stress status of the organization can be accurately analyzed.

[0120] The information related to individuals includes health information or life events of multiple members. The specified conditions include whether the specified health status is good or whether a specified life event has occurred. In cases of poor health status or the occurrence of a specified life event, the adjustment target extraction unit 32 of the control unit 30 extracts the adjustment target members. 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 adjustment target members from the analysis.

[0121] This structure allows for the exclusion of fatigue stress values ​​from members temporarily inferred to have a high degree of fatigue stress from the analyzed objects, thereby improving the accuracy of the analysis of the fatigue stress state of the tissue.

[0122] The fatigue pressure state analysis unit 34 of the control unit 30 analyzes the fatigue pressure state of the organization by classifying fatigue pressure values ​​into multiple categories corresponding to the magnitude of the fatigue pressure values.

[0123] This structure makes it easy to grasp the overall fatigue and stress level of the organization, rather than the fatigue and stress level of individual members.

[0124] Information related to fatigue stress includes biological information from multiple members.

[0125] Such a structure allows for the analysis of fatigue and stress states, for example, using information obtained from biological data such as autonomic nervous system indicators.

[0126] The analysis device includes a fatigue pressure value acquisition unit 31, an adjustment target extraction unit 32, a fatigue pressure value adjustment unit 33, and a fatigue pressure state analysis unit 34. The fatigue pressure value acquisition unit 31 calculates the fatigue pressure value of each member among the multiple members based on information related to the fatigue pressure of multiple members. The adjustment target extraction unit 32 extracts adjustment target members among the multiple members based on personal information related to the multiple members and predetermined conditions for extracting adjustment target members. The fatigue pressure value adjustment unit 33 adjusts the set of fatigue pressure values ​​by correcting the fatigue pressure values ​​of adjustment target members or excluding the fatigue pressure values ​​of adjustment target members from the analysis. The fatigue pressure state analysis unit 34 analyzes the fatigue pressure state of the organization based on the adjusted set of fatigue pressure values.

[0127] This structure enables the provision of analytical devices that improve the accuracy of analyzing the fatigue stress state of tissues.

[0128] The analysis method includes: step S11 of obtaining information related to fatigue stress, step S12 of obtaining information related to individuals, step S13 of calculating fatigue stress values, step S14 of extracting members of the adjustment object, step S15 of adjusting the set of fatigue stress values, and step S16 of analyzing the fatigue stress state of the organization.

[0129] This structure enables analytical methods that improve the accuracy of analyzing the fatigue stress state of tissues.

[0130] Furthermore, while the above embodiments illustrate the use of heart rate intervals as an example of information related to fatigue stress, this approach is not limited to this. Other biological information related to fatigue stress may also include body temperature, heart rate, pulse, respiratory rate, and brain waves. Alternatively, information other than biological information, such as a member's voice, body movements, etc., may also be used as information related to fatigue stress.

[0131] Furthermore, the defined life events can also include events that occurred from a previously defined period up to the time when information related to fatigue stress was obtained. That is, to extract information from members of the target group, information on life events that occurred within a defined period, such as from the time when information related to fatigue stress was obtained up to one year ago, can also be used. Since changes in fatigue stress levels caused by life events are often temporary, by excluding life events that occurred outside the defined period, the fatigue stress state of the organization can be analyzed with high precision.

[0132] Furthermore, in the above embodiment, an example of obtaining information related to fatigue pressure by measuring the measuring device 10 was described, but it is not limited to this. For example, the analysis system 1 can also obtain information related to fatigue pressure by using communication circuitry via a network. That is, in the analysis system 1, the structure for obtaining information related to fatigue pressure is not limited to the measuring device 10, and can be implemented by an information acquisition unit that obtains information related to fatigue pressure.

[0133] Furthermore, in the above embodiment, the example described by the fatigue pressure value acquisition unit 31 is that it acquires the fatigue pressure value by calculating the fatigue pressure value of each of the multiple members based on information related to fatigue pressure, but it is not limited to this. The fatigue pressure value acquisition unit 31 only needs to be able to acquire the fatigue pressure value of each of the multiple members calculated based on information related to the fatigue pressure of the multiple members. For example, the fatigue pressure-related information acquired by the measuring device 10 may be sent to a device different from the analysis device (control unit 30) (an external device), and the fatigue pressure value may be calculated in that other device. For example, the fatigue pressure value acquisition unit 31 may also be configured as a communication circuit that communicates with other devices via a network. In this case, the fatigue pressure value acquisition unit 31 can acquire information related to the fatigue pressure value calculated in the other device by communicating with the other device via a network.

[0134] Furthermore, in the above embodiment, an example was described whereby the adjustment target extraction unit 32 extracts adjustment target members from multiple members of an organization based on personal information stored in the information storage unit 20 and predetermined conditions for extracting adjustment target members, but this is not a limitation. The adjustment target extraction unit 32 can extract adjustment target members from multiple members based on personal information of multiple members including health information and predetermined conditions for extracting adjustment target members, including whether the health status contained in the health information is good. For example, the personal information stored in the information storage unit 20 can be sent to a device different from the analysis device (control unit 30) (an external device), and the employees for adjustment can be extracted from that other device. The predetermined conditions for extracting adjustment target members can also be pre-stored in the storage of that other device, or sent from the information storage unit 20 to that other device. That other device retrieves the personal information stored in the information storage unit 20 and the predetermined conditions for extracting adjustment target members via a network, and then extracts the adjustment target members. The adjustment target extraction unit 32 may also be configured as a communication circuit that communicates with other devices via a network. In this case, the adjustment target extraction unit 32 can obtain employee-related information extracted by the other device by communicating with the other device via the network.

[0135] Furthermore, in the above embodiment, an example was described where the fatigue pressure value adjustment unit 33 adjusts the set of fatigue pressure values ​​by correcting the fatigue pressure values ​​of the adjustment target member or excluding the fatigue pressure values ​​of the adjustment target member from the analysis, but this is not a limitation. The fatigue pressure value adjustment unit 33 only needs to be able to obtain the set of fatigue pressure values ​​adjusted by correcting the fatigue pressure values ​​of the adjustment target member or excluding the fatigue pressure values ​​of the adjustment target member from the analysis. For example, the fatigue pressure-related information obtained by the measuring device 10 and the adjustment target employee-related information extracted by the adjustment target extraction unit 32 can be sent to a device different from the analysis device (control unit 30) (an external device), and the set of fatigue pressure values ​​can be adjusted in that other device. For example, the fatigue pressure value adjustment unit 33 can also be configured as a communication circuit that communicates with other devices via a network. In this case, the fatigue pressure value adjustment unit 33 can obtain information related to the set of fatigue pressure values ​​adjusted by that other device by communicating with it via a network.

[0136] Furthermore, in the above embodiment, an example of the fatigue pressure state analysis unit 34 analyzing the fatigue pressure state of an organization based on a set of adjusted fatigue pressure values ​​has been described, but it is not limited to this. The fatigue pressure state analysis unit 34 may also perform the analysis not only through the analysis device (control unit 30), but may also send the data required for analysis to other devices (external devices) for partial analysis processing. In this case, the analysis device can obtain part of the analysis results by communicating with the other device via a network, thereby reducing the time required for analysis processing and the burden on the device.

[0137] Furthermore, in the above embodiments, examples of the information storage unit 20 being a memory or HDD and other storage devices have been described, but it is not limited to this. For example, the information storage unit 20 may also be configured as a communication circuit, acquiring information stored on a server different from the analysis system 1 via a network.

[0138] Furthermore, the above-described embodiments can also be applied to programs. Additionally, the above-described embodiments can also be recorded as programs on recording media.

[0139] [Variation Example]

[0140] Figure 7 This is a table showing the analysis results of the fatigue stress state of the tissue in Modification 1 of Embodiment 1. For example... Figure 7 As shown, the fatigue stress status of an organization can be categorized by month, for example, by the set of fatigue stress values. By categorizing the set of fatigue stress values ​​by month, it is possible to know the monthly fatigue stress value of each member, or to identify members whose fatigue stress level is on the rise.

[0141] Figure 8 This is a block diagram illustrating the analysis system 1A of a variation of implementation 1, example 2. Figure 9 It means Figure 8 A figure showing an example of the analysis results displayed by the display unit 40 of the analysis system 1A.

[0142] The analysis system 1A of the modified example 2 of embodiment 1 includes a display unit 40 that displays the analysis results of the fatigue stress state of the tissue, and the analysis results of the fatigue stress state of the tissue are displayed on the display unit 40 in the form of a graph.

[0143] The display unit 40, for example, is composed of a liquid crystal display, an organic EL display, etc., and is a device for displaying analysis results.

[0144] For example, you can use Figure 9 A pie chart like the one shown is used to represent... Figure 4The analysis results of the fatigue stress state of the organization described herein are displayed on the display unit 40. In this case, the overall fatigue stress state of the organization is easily grasped. In addition, it is possible to visually grasp the deviation in the distribution of fatigue stress values ​​belonging to the members of the organization.

[0145] Figure 10 It means Figure 8 A figure showing another example of the analysis results displayed by the display unit 40 of the analysis system 1A. (See figure below.) Figure 10 As shown, the fatigue stress state of an organization can also be displayed monthly using a bar chart. Using a bar chart facilitates monthly comparisons. By comparing the monthly organizational performance, the impact of fatigue stress state on organizational performance can be determined. Furthermore, using a bar chart also makes it easier to compare the fatigue stress states between different organizations.

[0146] (Implementation Method 2)

[0147] The analysis system of Embodiment 2 of the present invention will be described. Furthermore, in Embodiment 2, the differences from Embodiment 1 will be mainly explained. In Embodiment 2, the same reference numerals will be used to describe structures that are the same as or equivalent to those in Embodiment 1. Additionally, in Embodiment 2, descriptions that are repeated in Embodiment 1 will be omitted.

[0148] Figure 11 This is a flowchart illustrating the steps of extracting and adjusting target members in the analysis method of Implementation Method 2. Figure 12 It is a table that represents the individual fatigue stress values ​​and related information of members A to I of the organization. Figure 13 This is a table representing the correction coefficients for each health status.

[0149] In Implementation 2, the point at which the fatigue pressure value of the member being adjusted is different from that in Implementation 1.

[0150] For example, in cases where members suffer from chronic diseases such as diabetes that may affect autonomic nerve indicators, the impact on their fatigue stress values ​​may be long-lasting. Therefore, by not excluding the fatigue stress values ​​of such members from the analysis, but rather adjusting the fatigue stress values ​​according to the disease and its severity, it is possible to analyze the fatigue stress state of tissues with high precision.

[0151] In this embodiment, the adjustment target extraction unit 32 of the control unit 30 extracts adjustment target members when the prescribed health status contained in the health information is poor. (Refer to...) Figure 11 The extraction of the adjustment target members in this embodiment will be explained.

[0152] The adjustment target extraction unit 32 of the control unit 30 determines whether the specified health status is good (step S231). For example... Figure 13 As the examples illustrate, a defined state of health can be determined based on specific conditions, such as the presence of diabetes, menopausal disorders, Lewy body dementia, or other defined diseases. Alternatively, a defined state of health can be determined by whether the values ​​of test results for total cholesterol, LDL cholesterol, and triglycerides are normal or abnormal. Test results may include, for example, weight, metabolic syndrome assessment based on waist circumference, vision, hearing (1kHz, 4kHz, or speech), blood pressure (systolic / diastolic), urine tests (urine protein / urine occult blood), liver function tests (AST, ALT, γ-GTP), lipids (LDL cholesterol, HDL cholesterol, total cholesterol, triglycerides, non-HDL cholesterol), metabolism (uric acid), glucose metabolism (fasting blood glucose, immediate postprandial blood glucose, postprandial blood glucose, intravenous blood glucose, HbA1c), blood cell count (white blood cell count, red blood cell count, hemoglobin, hematocrit, platelet count), fecal occult blood, PSA, or results from internal medicine examinations. Whether the test results are normal or abnormal, for example, based on whether the test result values ​​are within or outside the normal baseline range, is pre-stored as personal information in the information storage unit 20. Figure 13 In the example, because member A has diabetes as a disease, they are judged to be in poor health. Similarly, in Figure 13 In the example, because member B's triglyceride test results were abnormal and member D had menopausal disorder as a disease, they were judged to be in poor health.

[0153] If the specified health status is determined to be poor (No in step S231), the corresponding member is extracted as an adjustment target member by the adjustment target extraction unit 32 (step S232). If the specified health status is determined to be good (Yes in step S231), the step of extracting adjustment target members ends.

[0154] If the specified health status is poor (No in step S231), the adjustment object extraction unit 32 extracts the member as an adjustment object member (step S232).

[0155] If the adjustment target members are extracted, the fatigue pressure value set is adjusted by the fatigue pressure value adjustment unit 33. Figure 5 Step S15).

[0156] The fatigue pressure value adjustment unit 33 corrects the fatigue pressure value of the member to be adjusted. The correction of the fatigue pressure value is, for example, based on... Figure 13 The correction factor is as shown. For example, in Figure 12The fatigue pressure values ​​shown represent the fatigue pressure values ​​of member A with diabetes, assuming total power. Figure 13 The correction factor is used to adjust for diabetes. The correction factor for diabetes ranges from 1 to 2.7, meaning that different correction factors can be used depending on the severity of diabetes. Figure 12 In the example, member A used a correction factor of 1.8 based on the severity of diabetes. In cases of diabetes, the total power value tends to be calculated lower than in healthy individuals. Therefore, member A's fatigue stress value was corrected by multiplying it by the correction factor of 1.8. Furthermore, when using total power to represent the degree of fatigue stress, a smaller value indicates a higher degree of fatigue stress. Therefore, in cases like member A where the fatigue stress value is calculated lower due to diabetes, a correction factor of 1.8 is used to correct for a value larger than the actual fatigue stress value for analysis. By correcting the fatigue stress value based on health status, biases in fatigue stress values ​​caused by a member's health status can be corrected, allowing for more accurate analysis of the tissue's fatigue stress state. A correction factor of 1.4 was used to correct the fatigue stress value for member B, and a correction factor of 0.6 was used for member D. Furthermore, Figure 13 The correction factor is an example, and it can also be used. Figure 13 Correction factor for values ​​outside the range shown.

[0157] [Effect]

[0158] According to embodiment 2, the following effects can be achieved.

[0159] The information related to an individual includes the health information of multiple members. The specified conditions include whether the specified health status is good or bad. When the specified health status is poor, the adjustment target extraction unit 32 of the control unit 30 extracts the adjustment target members. 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 adjustment target members.

[0160] With this structure, for example, in cases where chronic diseases have a long-term impact on fatigue stress values, by adjusting the fatigue stress values ​​according to the disease, it is possible to eliminate influences unrelated to the tissue and analyze the tissue's fatigue stress state. Therefore, the accuracy of the analysis can be improved.

[0161] The fatigue pressure value adjustment unit 33 of the control unit 30 adjusts the set of fatigue pressure values ​​by correcting the fatigue pressure values ​​of the members to be adjusted based on the correction coefficient of each health state.

[0162] This structure allows for the analysis of tissue fatigue stress state by using correction factors for each health condition that could potentially affect fatigue stress values, thus eliminating influences irrelevant to the tissue. Therefore, analytical accuracy can be improved.

[0163] Furthermore, in the above-described embodiments, test results for diabetes, menopausal disorders, presence or absence of Lewy body dementia, total cholesterol, LDL cholesterol, and triglycerides are used as health information, but the health information is not limited to these. Various diseases or test results that may affect fatigue stress levels can be used. Additionally, fatigue stress levels can be adjusted for members who have experienced specified life events.

[0164] Furthermore, in the above embodiments, an example of correcting the fatigue pressure value based on a correction coefficient for each health state has been described, but the method for correcting the fatigue pressure value is not limited to this.

[0165] Figure 14 This is a graph showing an example of statistical data used in the analysis system 1 of the modified example 1 of embodiment 2. The fatigue pressure value adjustment unit 33 of the control unit 30 can also replace the correction coefficient for the health state and adjust the pressure value of the member to be adjusted based on the statistical data of the fatigue pressure value for the health state.

[0166] exist Figure 14 In charts, for example, data obtained by plotting fatigue stress values ​​of normal individuals with age on the horizontal axis using linear regression analysis can be represented as linear data. Similarly, data obtained by plotting fatigue stress values ​​of diabetic patients with age on the horizontal axis using linear regression analysis can also be represented as linear data. Data can also be prepared for various health states. Figure 14 Such statistical data is used to correct fatigue stress values. The statistical data can also be pre-acquired by the control unit 30 and stored in its storage unit. For example, the operator of the analysis system 1 can pre-input statistical data for each health condition into the control unit 30. Alternatively, the control unit 30 can communicate with external devices to utilize statistical data stored on those devices. The statistical data can also be acquired by the control unit 30 at predetermined intervals, such as weekly, monthly, or annually.

[0167] For example, in the case of a member with diabetes, their fatigue stress level can also be used to determine the appropriate level. Figure 14 The chart shows how much the linear data for diabetes deviates from the value of fatigue stress.

[0168] By using statistical data in the correction of fatigue pressure values, the accuracy of the correction improves as fatigue pressure value data accumulates. Therefore, the accuracy of fatigue pressure state analysis is improved with each use of analysis system 1.

[0169] (Implementation Method 3)

[0170] The analysis system of Embodiment 3 of the present invention will be described. Furthermore, in Embodiment 3, the differences from Embodiment 1 will be mainly explained. In Embodiment 3, the same reference numerals will be used to describe structures that are the same as or equivalent to those in Embodiment 1. Additionally, in Embodiment 3, descriptions that are repeated in Embodiment 1 will be omitted.

[0171] Figure 15 This is a flowchart illustrating the steps of extracting and adjusting target members in the analysis method of Implementation Method 3. Figure 16 It is a table that represents the individual fatigue stress values ​​and related information of members A to I of the organization.

[0172] In Embodiment 3, the point that the information related to individuals includes information related to the organization's work differs from that in Embodiment 1. Furthermore, in Embodiment 3, the point that the adjustment target extraction unit 32 of the control unit 30 extracts adjustment target members based on information related to the organization's work differs from that in Embodiment 1.

[0173] For example, factors related to organizational work, such as frequent overtime hours and long-distance business trips shortly after personnel changes, can also affect the fatigue stress levels of employees. When analyzing the fatigue stress state caused by a specific factor among these work-related factors, it is preferable to exclude the influence of factors other than the specific factor on the fatigue stress value. In this embodiment, in order to exclude the influence of factors other than the specific factor, the fatigue stress values ​​of employees with factors other than the specific factor are corrected, or the fatigue stress values ​​of employees with factors other than the specific factor are excluded from the analysis.

[0174] Reference Figure 15 The steps for extracting the adjustment target members in Implementation Method 3 will be explained. Furthermore, Figure 15 Steps S331 to S333 are the same as those described in Embodiment 1. Figure 1 The steps S131 to S133 are the same, so the explanation is omitted.

[0175] In steps S331 to S333, the adjustment target extraction unit 32 of the control unit 30 extracts adjustment target members based on the members' health information or life events. Figure 16In the example, members A, B, and D, which are marked as "Yes" in the "Adjustment Object 1" column, are extracted as adjustment object members.

[0176] Next, the adjustment object extraction unit 32 of the control unit 30 determines whether the information related to the organization's work among the personal information meets the prescribed conditions (step S334). Prescribed conditions include, for example, whether overtime hours exceed a prescribed threshold, whether a prescribed period has elapsed since the personnel transfer, and whether the number of long-distance business trips exceeds a prescribed threshold, etc.

[0177] If the information associated with the organization meets the prescribed conditions ("Yes" in step S334), the adjustment object extraction unit 32 of the control unit 30 extracts the member as an adjustment object member (step S335). If the information associated with the organization does not meet the prescribed conditions ("No" in step S334), the step of extracting the adjustment object member ends.

[0178] In this implementation, the specified conditions are met when monthly overtime exceeds 67.5 hours and the department comprises less than three months. In this case, if... Figure 16 As shown, members E, F, and G, which are marked as "Yes" in the "Adjustment Object 2" column, are extracted as adjustment object members.

[0179] If the adjustment target member is extracted, the fatigue pressure value adjustment unit 33 of the control unit 30 adjusts the set of fatigue pressure values ​​by correcting the fatigue pressure value of the adjustment target member or excluding the fatigue pressure value of the adjustment target member from the analyzed objects. Figure 5 Step S15).

[0180] For in Figure 15 The members extracted in step S333 are used to correct the fatigue pressure values ​​using correction coefficients. As a result, the fatigue pressure values ​​of members A, B, and D are corrected, and the set of fatigue pressure values ​​is adjusted to... Figure 15 The value of the "Adjusted fatigue pressure value 1" column.

[0181] For in Figure 15 The members extracted in step S335 are excluded from the analysis object for fatigue pressure values. As a result, the fatigue pressure values ​​of members E, F, and G are further excluded from "Adjusted Fatigue Pressure Value 1", and the set of fatigue pressure values ​​is adjusted to the value of "Adjusted Fatigue Pressure Value 2".

[0182] [Effect]

[0183] According to implementation method 3, the following effects can be achieved.

[0184] Information related to individuals includes information relevant to the organization's work. The adjustment target extraction unit 32 of the control unit 30 extracts adjustment target members based on information relevant to the organization's work. 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 adjustment target members or excluding their fatigue stress values ​​from the analysis.

[0185] This structure allows for the removal of predefined factors from the list of aggravating factors related to organizational fatigue stress levels, enabling the analysis of the organization's fatigue stress status. This facilitates appropriate responses to the deterioration of fatigue stress levels. Predefined factors, such as the exclusion of overtime hours and personnel changes, can be used to analyze the organization's fatigue stress status.

[0186] Furthermore, the above embodiments illustrate an example of excluding fatigue stress values ​​from the analyzed objects when work-related information meets specified conditions, but this is not a limitation. Fatigue stress values ​​can also be corrected when work-related information meets specified conditions. For example, fatigue stress values ​​can be corrected based on overtime hours.

[0187] (Implementation Method 4)

[0188] The analysis system of Embodiment 4 of the present invention will be described. Furthermore, in Embodiment 4, the differences from Embodiment 1 will be mainly explained. In Embodiment 4, the same reference numerals will be used to describe structures that are the same as or equivalent to those in Embodiment 1. Additionally, in Embodiment 4, descriptions that are repeated in Embodiment 1 will be omitted.

[0189] Figure 17 This is a block diagram representing the analysis system 2 of implementation method 4. Figure 18 It means Figure 17 The flowchart of the analysis method in analysis system 2.

[0190] like Figure 17 As shown, in Embodiment 4, the analysis system 2 has a confidential information storage unit 50, which is different from Embodiment 1.

[0191] The Confidential Information Storage Unit 50 stores confidential personal information that is confidential to the organization. Confidential personal information includes, for example, a member's past (before joining the organization) health information, or personal life events not managed by the organization—information that the member does not wish the organization to know. Personal life events not managed by the organization include, for example, the death of a friend or acquaintance, the death of a pet, and other private information that the member is not obligated to report to the organization. The death of a friend or acquaintance includes the death of a partner in a partnership outside of legal marriage (such as a common-law marriage or a partnership within a sexual minority group). Confidential personal information is entered by the member themselves and stored in the Confidential Information Storage Unit 50.

[0192] The input of confidential information can be done, for example, through a member's own PC, tablet, or smartphone.

[0193] The confidential information storage unit 50 consists of a memory, or a storage device such as an HDD (Hard Disk Drive) or an SSD (Solid State Drive).

[0194] The confidential information storage unit 50 may also be constructed using different hardware than the information storage unit 20. Alternatively, the confidential information storage unit 50 may be constructed using the same hardware as the information storage unit 20. In this case, by controlling access rights to the confidential information storage unit 50, members other than the member making the input can be prevented from accessing the confidential information.

[0195] Reference Figure 18 The analysis method in analysis system 2 will be explained. In this embodiment, the step of obtaining personal-related information in step S22 and the step of extracting adjustment target members in step S24 are different from those in embodiment 1. Steps S21, S23, S25 to S26 are the same as S11, S13, S15 to S16 in embodiment 1, so they are omitted from the description.

[0196] In step S22, the control unit 30 acquires multiple pieces of personal information. First, the control unit 30 acquires personal information other than confidential information (step S221). The control unit 30 acquires personal information by referring to the personal information stored in the information storage unit 20 and storing it in the storage unit of the control unit 30.

[0197] Next, the control unit 30 obtains confidential information related to the individual (step S222). The control unit 30 obtains the confidential information related to the individual by referring to the confidential information related to the individual stored in the confidential information storage unit 50 and storing it in the storage unit of the control unit 30.

[0198] The control unit 30 analyzes the organization's fatigue stress state based on personal information stored in the information storage unit 20 and personal confidential information 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 adjustment target members based on personal information and personal confidential information. Similar to the personal information, the adjustment target extraction unit 32 can also extract employees who are subject to correction or exclusion by referring to the personal confidential information.

[0199] [Effect]

[0200] According to implementation method 4, the following effects can be achieved.

[0201] The analysis system 2 includes a confidential information storage unit 50. The confidential information storage unit 50 stores confidential information about individuals that is kept secret from the organization. The control unit 30 analyzes the organization's fatigue stress state based on the personal information stored in the information storage unit 20 and the confidential information stored in the confidential information storage unit 50.

[0202] This structure allows for the analysis of organizational fatigue stress levels by also considering personal information of members who wish to keep their information confidential. Therefore, it improves the accuracy of the analysis.

[0203] Furthermore, the confidential information storage unit 50 may also be included in the information storage unit 20. For example, by controlling access rights to the confidential information storage unit 50, the confidential information stored in the confidential information storage unit 50 can be controlled to not be disclosed to the organization, thereby enabling the confidential information storage unit 50 to function.

[0204] (Implementation Method 5)

[0205] The analysis system of Embodiment 5 of the present invention will be described. Furthermore, in Embodiment 5, the differences from Embodiment 1 will be mainly explained. In Embodiment 5, the same reference numerals are used to describe structures that are the same as or equivalent to those in Embodiment 1. Additionally, in Embodiment 5, descriptions that are repeated in Embodiment 1 are omitted.

[0206] Figure 19 This is a block diagram illustrating the structure of the analysis system 3 in embodiment 5. For example... Figure 19 As shown, in Embodiment 5, the analysis system 3 has an information acquisition unit 111, which differs from Embodiment 1. Furthermore, the fatigue pressure value acquisition unit 131, the adjustment target extraction unit 132, the fatigue pressure value adjustment unit 133, the fatigue pressure state analysis unit 134, and the information storage unit 120 are composed of multiple devices, which also differs from Embodiment 1.

[0207] The information acquisition unit 111 is, for example, composed of a communication circuit, such as Figure 19 As shown, measurement data 110 related to the fatigue stress of a member is acquired via network NW. The measurement data 110 can be acquired using a device different from the analysis system 3, such as a biosensor. The analysis system 3 can acquire the measurement data 110 via, for example, a network through the information acquisition unit 111, and store the measurement data 110 in a database within the analysis system 3. In this embodiment, because the analysis system 3 is equipped with the information acquisition unit 111, the fatigue stress state of tissues can be analyzed using the measurement data 110 acquired by a biosensor or similar device external to the analysis system 3.

[0208] Furthermore, in this embodiment, the fatigue pressure value acquisition unit 131, the adjustment target extraction unit 132, the fatigue pressure value adjustment unit 133, and the fatigue pressure state analysis unit 134 are each composed of different devices. Here, the devices may include various processors such as CPU, MPU, FPGA, DSP, and ASIC. The functions of the fatigue pressure value acquisition unit 131, the adjustment target extraction unit 132, the fatigue pressure value adjustment unit 133, and the fatigue pressure state analysis unit 134 are executed by the processors of each device. In this case, the fatigue pressure value acquisition unit 131, the adjustment target extraction unit 132, the fatigue pressure value adjustment unit 133, and the fatigue pressure state analysis unit 134 can communicate with each other via a network. By composing the fatigue pressure value acquisition unit 131, the adjustment target extraction unit 132, the fatigue pressure value adjustment unit 133, and the fatigue pressure state analysis unit 134 with different devices, each component can be arranged in physically different locations.

[0209] The fatigue pressure value acquisition unit 131 calculates the fatigue pressure value of each member based on the fatigue pressure-related information received by the information acquisition unit 111. The processor constituting the fatigue pressure value acquisition unit 131 may also include a storage device such as an HDD or SSD (not shown). The fatigue pressure-related information acquired by the information acquisition unit 111 is stored in the storage device, and the fatigue pressure value acquisition unit 131 can use the fatigue pressure-related information stored in the storage device to calculate the fatigue pressure value.

[0210] [Effect]

[0211] According to embodiment 5, the following effects can be achieved.

[0212] Analysis System 3 is an analysis system for analyzing the fatigue stress state of an organization to which multiple members belong. 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 related to the fatigue stress of multiple members. The information storage unit 120 stores personal information related to the multiple members. The fatigue stress value acquisition unit 131 calculates the fatigue stress value of each member among the multiple members based on the fatigue stress-related information. The adjustment target extraction unit 132 extracts adjustment target members from the multiple members based on personal information and predetermined conditions for extracting adjustment target members. The fatigue stress value adjustment unit 133 adjusts the set of fatigue stress values ​​by correcting the fatigue stress values ​​of adjustment target members or excluding adjustment target members from the analysis. The fatigue stress state analysis unit 134 analyzes the fatigue stress state of the organization based on the adjusted set of fatigue stress values.

[0213] This structure enables the provision of an analysis system 3 that improves the accuracy of analyzing the fatigue stress state of an organization. Furthermore, the fatigue stress value acquisition unit 131, the adjustment object extraction unit 132, the fatigue stress value adjustment unit 133, and the fatigue stress state analysis unit 134 can each be configured with different processors. Therefore, each component can be placed in physically different locations.

[0214] Furthermore, in the above embodiments, examples have been described where the fatigue pressure value acquisition unit 131, the adjustment object extraction unit 132, the fatigue pressure value adjustment unit 133, and the fatigue pressure state analysis unit 134 are each composed of different devices, but this is not a limitation. For example, two or more of the fatigue pressure value acquisition unit 131, the adjustment object extraction unit 132, the fatigue pressure value adjustment unit 133, and the fatigue pressure state analysis unit 134 may be constituted by a single device. Moreover, the information storage unit 120 may also be composed of a different device than the fatigue pressure value acquisition unit 131, the adjustment object extraction unit 132, the fatigue pressure value adjustment unit 133, and the fatigue pressure state analysis unit 134. That is, the fatigue pressure value acquisition unit 131, the adjustment object extraction unit 132, the fatigue pressure value adjustment unit 133, the fatigue pressure state analysis unit 134, and the information storage unit 120 may each be composed of different devices, or they may be composed of the same device.

[0215] (Summary of the implementation method)

[0216] (1) The analysis system of the present invention is an analysis system for analyzing the fatigue stress state of an organization to which multiple members belong, comprising: an information acquisition unit for acquiring information related to the fatigue stress of multiple members; an information storage unit for storing personal information related to multiple members; a fatigue stress value acquisition unit for acquiring the fatigue stress value of each of the multiple members calculated based on the fatigue stress-related information; an adjustment target extraction unit for extracting adjustment target members from the multiple members based on personal information related to the health information of multiple members and predetermined conditions for extracting adjustment target members based on whether the prescribed health status contained in the health information is good; a fatigue stress value adjustment unit for adjusting the set of fatigue stress values ​​by correcting the fatigue stress values ​​of adjustment target members or excluding the fatigue stress values ​​of adjustment target members from the analysis; 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.

[0217] This structure enables the provision of an analytical system that improves the accuracy of analyzing the fatigue stress state of tissues.

[0218] (2) In the analysis system of (1), the set of fatigue pressure values ​​can also be adjusted by extracting adjustment object members by the adjustment object extraction unit under the condition of poor health status, and excluding the fatigue pressure values ​​of adjustment object members from the analysis by the fatigue pressure value adjustment unit.

[0219] This structure can eliminate the influence of factors unrelated to the organization's operations that cause a deterioration in fatigue stress values, thereby improving the accuracy of the analysis of the organization's fatigue stress state.

[0220] (3) The analysis system of the present invention is an analysis system for analyzing the fatigue stress state of an organization to which multiple members belong, comprising: an information acquisition unit for acquiring information related to the fatigue stress of multiple members; an information storage unit for storing personal information related to multiple members; a fatigue stress value acquisition unit for acquiring the fatigue stress value of each of the multiple members calculated based on the fatigue stress-related information; an adjustment target extraction unit for extracting adjustment target members from the multiple members based on personal information including life events of multiple members and predetermined conditions including whether a predetermined life event has occurred; a fatigue stress value adjustment unit for adjusting the set of fatigue stress values ​​by correcting the fatigue stress values ​​of adjustment target members or excluding the fatigue stress values ​​of adjustment target members from the analysis; 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.

[0221] This structure enables the provision of an analytical system that improves the accuracy of analyzing the fatigue stress state of tissues.

[0222] (4) In the analysis system of (3), the set of fatigue pressure values ​​can also be adjusted by the adjustment object extraction unit extracting adjustment object members and the fatigue pressure value adjustment unit excluding the fatigue pressure values ​​of adjustment object members from the analysis when a specified life event occurs.

[0223] This structure can eliminate the influence of factors unrelated to the organization's operations that cause a deterioration in fatigue stress values, thereby improving the accuracy of the analysis of the organization's fatigue stress state.

[0224] (5) In the analysis system of (4), life events can also include events that have occurred from the specified period in the past until the information related to fatigue stress is obtained.

[0225] This structure allows for the consideration of life events, which are presumed to be unrelated to the deterioration of current fatigue stress values, as interfering factors, thereby further improving the accuracy of the analysis.

[0226] (6) In any of the analysis systems in (1) to (5), the information related to an individual may include the health information of multiple members. The specified conditions include whether the specified health status of the health information is good. If the specified health status is not good, the adjustment object extraction unit extracts the adjustment object members, and the fatigue pressure value adjustment unit corrects the fatigue pressure value of the adjustment object members to adjust the set of fatigue pressure values.

[0227] With this structure, for example, in cases where chronic diseases have a long-term impact on fatigue stress values, by adjusting the fatigue stress values ​​according to the disease, it is possible to eliminate influences unrelated to the tissue and analyze the tissue's fatigue stress state. Therefore, the accuracy of the analysis can be improved.

[0228] (7) In the analysis system of (6), the fatigue pressure value adjustment unit can also adjust the set of fatigue pressure values ​​by adjusting the fatigue pressure values ​​of the adjustment object members based on the correction coefficient for the specified health status.

[0229] This structure allows for the analysis of tissue fatigue stress state by using correction factors for health conditions that may influence fatigue stress values, thus eliminating influences unrelated to the tissue. Therefore, analytical accuracy can be improved.

[0230] (8) In the analysis system of (6), the fatigue pressure value adjustment unit can also adjust the set of fatigue pressure values ​​by modifying the fatigue pressure values ​​of the adjustment target members based on the statistical data of fatigue pressure values ​​obtained in advance for the specified health state.

[0231] This structure allows for the accumulation of statistical data on fatigue stress values ​​related to health conditions, thus improving the accuracy of corrections as the amount of measurement increases.

[0232] (9) In any of the analysis systems in (1) to (8), the information related to individuals may include information related to the organization’s work. By adjusting the object extraction unit based on the information related to the organization’s work, the adjustment object members are extracted, and the fatigue stress values ​​of the adjustment object members are corrected or the fatigue stress values ​​of the adjustment object members are excluded from the analysis, thereby adjusting the set of fatigue stress values.

[0233] This structure allows for the analysis of an organization's fatigue stress state by removing predefined factors that worsen fatigue stress levels associated with the organization's work. This, in turn, facilitates appropriate responses to the deterioration of fatigue stress levels.

[0234] (10) Alternatively, any one of the analysis systems (1) to (9) may also have a confidential information storage unit, which stores confidential information related to individuals that is confidential to the organization. The fatigue stress state analysis unit analyzes the fatigue stress state of the organization based on the personal information stored in the information storage unit and the personal confidential information stored in the confidential information storage unit.

[0235] This structure allows for the analysis of organizational fatigue stress levels, taking into account the personal information of members who wish to keep the information confidential. Therefore, it improves the accuracy of the analysis.

[0236] (11) In any of the analysis systems (1) to (10), the fatigue pressure state analysis unit can also analyze the fatigue pressure state of the tissue by classifying the fatigue pressure value into multiple categories corresponding to the size of the fatigue pressure value.

[0237] This structure makes it easy to understand the overall fatigue and stress state of the organization.

[0238] (12) In the analysis system of (11), there may also be a display unit that displays the analysis results of the fatigue stress state of the tissue, and the analysis results are displayed on the display unit in the form of charts.

[0239] This structure allows for a visually easy-to-understand display of the tissue's fatigue and stress state.

[0240] (13) In any of the analysis systems in (1) to (12), the information related to fatigue stress can also include biological information of multiple members.

[0241] Such a structure allows for the analysis of fatigue and stress states, for example, using information obtained from biological data such as autonomic nervous system indicators.

[0242] (14) The analysis apparatus of the present invention is an analysis apparatus for analyzing the fatigue stress state of an organization to which multiple members belong, comprising: a fatigue stress value acquisition unit that acquires the fatigue stress value of each of the multiple members calculated based on information related to the fatigue stress of the multiple members; an adjustment target extraction unit that acquires adjustment target members among the multiple members, wherein the adjustment target members are extracted based on personal information related to the multiple members including health information and predetermined conditions for extracting adjustment target members based on whether the prescribed health status included in the health information is good; a fatigue stress value adjustment unit that acquires a set of fatigue stress values ​​adjusted by correcting the fatigue stress values ​​of the adjustment target members or excluding the fatigue stress values ​​of the adjustment target members 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.

[0243] This structure enables the provision of analytical devices that improve the accuracy of analyzing the fatigue stress state of tissues.

[0244] (15) The analysis apparatus of the present invention is an analysis apparatus for analyzing the fatigue stress state of an organization to which multiple members belong, comprising: a fatigue stress value acquisition unit that acquires the fatigue stress value of each of the multiple members calculated based on information related to the fatigue stress of the multiple members; an adjustment target extraction unit that acquires adjustment target members among the multiple members, wherein the adjustment target members are extracted based on personal information related to the multiple members including life events of the multiple members and predetermined conditions for extracting adjustment target members including whether a predetermined life event has occurred; a fatigue stress value adjustment unit that acquires a set of fatigue stress values ​​adjusted by correcting the fatigue stress values ​​of the adjustment target members or excluding the fatigue stress values ​​of the adjustment target members 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.

[0245] This structure enables the provision of analytical devices that improve the accuracy of analyzing the fatigue stress state of tissues.

[0246] (16) In the analysis apparatus of (14) or (15), at least one of the fatigue pressure value acquisition unit, the adjustment object extraction unit, or the fatigue pressure value adjustment unit may be composed of a communication circuit to receive information from an external device.

[0247] With this structure, different servers can be used to form a fatigue pressure value acquisition unit, an adjustment object extraction unit, a fatigue pressure value adjustment unit, and a fatigue pressure state analysis unit.

[0248] (17) The analytical method of the present invention is a method for analyzing the fatigue stress state of an organization to which multiple members belong, comprising: a step of acquiring information related to the fatigue stress of multiple members; a step of acquiring personal information related to multiple members; a step of calculating the fatigue stress value of each member among the multiple members based on the fatigue stress-related information; a step of extracting adjustment target members among the multiple members based on personal information containing health information of multiple members and a predetermined condition for extracting adjustment target members based on whether the health status contained in the health information is good; a step of adjusting the set of fatigue stress values ​​by correcting the fatigue stress values ​​of adjustment target members or excluding the fatigue stress values ​​of adjustment target members from the analysis based on the predetermined value of personal information; and a step of analyzing the fatigue stress state of the organization based on the adjusted set of fatigue stress values.

[0249] This structure enables analytical methods that improve the accuracy of analyzing the fatigue stress state of tissues.

[0250] (18) The analytical method of the present invention is a method for analyzing the fatigue stress state of an organization to which multiple members belong, comprising: a step of acquiring information related to the fatigue stress of multiple members; a step of acquiring personal information related to multiple members; a step of calculating the fatigue stress value of each member among the multiple members based on the fatigue stress-related information; a step of extracting adjustment target members among the multiple members based on personal information including life events of multiple members and predetermined conditions for extracting adjustment target members including whether a predetermined life event has occurred; a step of adjusting the set of fatigue stress values ​​by correcting the fatigue stress values ​​of adjustment target members or excluding the fatigue stress values ​​of adjustment target members from the analysis based on predetermined values ​​of personal information; and a step of analyzing the fatigue stress state of the organization based on the adjusted set of fatigue stress values.

[0251] This structure enables analytical methods that improve the accuracy of analyzing the fatigue stress state of tissues.

[0252] (19) The program of the present invention causes a computer to perform the method described in (17) or (18).

[0253] (20) The recording medium of the present invention records (19) the procedure.

[0254] The analysis system, analysis apparatus, and analysis method of the present invention are useful in analyzing the fatigue stress state of tissues to which multiple members belong.

Claims

1. An analysis system for analyzing the fatigue stress state of an organization to which multiple members belong, comprising: The information acquisition department acquires information related to the fatigue stress of the aforementioned members. The information storage department stores personal information related to the aforementioned members. The fatigue pressure value acquisition unit acquires the fatigue pressure value of each of the above-mentioned multiple members, calculated based on information related to the fatigue pressure mentioned above. The adjustment target extraction unit extracts the adjustment target members from the multiple members based on information related to the individuals mentioned above, which includes health information of the aforementioned multiple members, and on the specified conditions for extracting adjustment target members based on whether the health status included in the aforementioned health information is good. The fatigue pressure value adjustment unit adjusts the set of fatigue pressure values ​​by correcting the fatigue pressure values ​​of the members to be adjusted or by excluding the fatigue pressure values ​​of the members to be adjusted from the analysis; and The fatigue stress state analysis unit analyzes the fatigue stress state of the aforementioned tissue based on the adjusted set of the aforementioned fatigue stress values.

2. The analysis system according to claim 1, wherein, In cases where the aforementioned health condition is poor, the aforementioned adjustment target extraction department extracts the aforementioned adjustment target members. The fatigue pressure value adjustment unit adjusts the set of fatigue pressure values ​​by excluding the fatigue pressure values ​​of the members to be adjusted from the analysis.

3. An analysis system for analyzing the fatigue stress state of an organization to which multiple members belong, comprising: The information acquisition department acquires information related to the fatigue stress of the aforementioned members. The information storage department stores personal information related to the aforementioned members. The fatigue pressure value acquisition unit acquires the fatigue pressure value of each of the above-mentioned multiple members, calculated based on information related to the fatigue pressure mentioned above. The adjustment target extraction unit extracts adjustment target members from the aforementioned multiple members based on information related to the aforementioned individuals that includes life events of the aforementioned multiple members and specified conditions for extracting adjustment target members that include whether a specified life event has occurred. The fatigue pressure value adjustment unit adjusts the set of fatigue pressure values ​​by correcting the fatigue pressure values ​​of the members to be adjusted or by excluding the fatigue pressure values ​​of the members to be adjusted from the analysis; and The fatigue stress state analysis unit analyzes the fatigue stress state of the aforementioned tissue based on the adjusted set of the aforementioned fatigue stress values.

4. The analysis system according to claim 3, wherein, In the event of the aforementioned specified life events, the aforementioned adjustment target extraction department extracts the aforementioned adjustment target members. The fatigue pressure value adjustment unit adjusts the set of fatigue pressure values ​​by excluding the fatigue pressure values ​​of the members to be adjusted from the analysis.

5. The analysis system according to claim 4, wherein, The aforementioned defined life events include events that have occurred from the specified period in the past until the acquisition of information related to the aforementioned fatigue stress.

6. The analysis system according to claim 1, wherein, The information related to the aforementioned individuals includes the health information of the aforementioned members. The above-mentioned conditions include whether the health status specified in the above-mentioned health information is good. In cases where the aforementioned health condition is poor, the aforementioned adjustment target extraction department extracts the aforementioned adjustment target members. The fatigue pressure value adjustment unit adjusts the set of fatigue pressure values ​​by correcting the fatigue pressure values ​​of the members to be adjusted.

7. The analysis system according to claim 6, wherein, 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 correction coefficient for the specified health status.

8. The analysis system according to claim 6, wherein, 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 statistical data of fatigue stress values ​​obtained in advance for the specified health conditions.

9. The analysis system according to claim 1, wherein, Information relating to the aforementioned individuals includes information related to their work with the aforementioned organizations. The aforementioned adjustment target extraction department extracts the members of the aforementioned adjustment targets based on information related to the work of the aforementioned organization. The fatigue pressure value adjustment unit adjusts the set of fatigue pressure values ​​by correcting the fatigue pressure values ​​of the members to be adjusted or by excluding the fatigue pressure values ​​of the members to be adjusted from the analysis.

10. The analysis system according to claim 1, wherein, It also has a confidential information storage department, which stores confidential personal information that is confidential to the aforementioned organization. The fatigue stress state analysis unit analyzes the fatigue stress state of the organization based on information related to the aforementioned individual stored in the aforementioned information storage unit and confidential information related to the aforementioned individual stored in the aforementioned confidential information storage unit.

11. The analysis system according to claim 1, wherein, The fatigue stress state analysis unit described above analyzes the fatigue stress state of the organization by classifying the fatigue stress values ​​into multiple categories corresponding to the magnitude of the fatigue stress values.

12. The analysis system according to claim 11, wherein, It also includes a display unit that displays the analysis results of the fatigue stress state of the aforementioned tissue. The above analysis results are displayed in the above display section in the form of charts.

13. The analysis system according to any one of claims 1 to 12, wherein, The information related to the aforementioned fatigue stress includes biological information of the aforementioned members.

14. An analytical apparatus for analyzing the fatigue stress state of tissues to which multiple members belong, comprising: The fatigue pressure value acquisition unit acquires the fatigue pressure value of each of the multiple members calculated based on information related to the fatigue pressure of the multiple members. The adjustment object extraction unit retrieves the adjustment object member from the aforementioned multiple members, among which... The aforementioned adjustment target members are extracted based on the personal information of the aforementioned multiple members, including their health information, and the prescribed conditions for extracting adjustment target members, including whether their health status is good. The fatigue pressure value adjustment unit acquires a set of fatigue pressure values ​​adjusted by correcting the fatigue pressure values ​​of the members to be adjusted or excluding the fatigue pressure values ​​of the members to be adjusted from the analysis; and The fatigue stress state analysis unit analyzes the fatigue stress state of the aforementioned tissue based on the adjusted set of the aforementioned fatigue stress values.

15. An analytical apparatus for analyzing the fatigue stress state of tissues to which multiple members belong, comprising: The fatigue pressure value acquisition unit acquires the fatigue pressure value of each of the multiple members calculated based on information related to the fatigue pressure of the multiple members. The adjustment object extraction unit retrieves the adjustment object member from the aforementioned multiple members, among which... The aforementioned adjustment target members are extracted based on personal information related to the aforementioned multiple members' life events and the prescribed conditions for extracting adjustment target members, including whether the prescribed life events have occurred. The fatigue pressure value adjustment unit acquires a set of fatigue pressure values ​​adjusted by correcting the fatigue pressure values ​​of the members to be adjusted or excluding the fatigue pressure values ​​of the members to be adjusted from the analysis; and The fatigue stress state analysis unit analyzes the fatigue stress state of the aforementioned tissue based on the adjusted set of the aforementioned fatigue stress values.

16. The analytical apparatus according to claim 14 or 15, wherein, At least one of the above-mentioned fatigue pressure value acquisition unit, adjustment object extraction unit, or fatigue pressure value adjustment unit is composed of a communication circuit and receives information from an external device.

17. An analytical method for analyzing the fatigue stress state of an organization to which multiple members belong, comprising: The steps to obtain information related to the fatigue stress of the aforementioned members; Steps for obtaining personal information related to the aforementioned members; The steps for calculating the fatigue pressure value of each of the above-mentioned members based on the information related to the fatigue pressure mentioned above. The step of extracting adjustment target members from the above-mentioned multiple members is based on the information related to the above-mentioned individuals that includes health information of the above-mentioned multiple members and the prescribed conditions for extracting adjustment target members based on whether the health status contained in the above-mentioned health information is good. The steps involve adjusting the set of fatigue stress values ​​based on the specified values ​​related to the aforementioned individuals, either by correcting the fatigue stress values ​​of the aforementioned adjustment target members or by excluding the fatigue stress values ​​of the aforementioned adjustment target members from the analysis; and... The steps for analyzing the fatigue stress state of the aforementioned tissues are based on the adjusted set of the aforementioned fatigue stress values.

18. An analytical method for analyzing the fatigue stress state of an organization to which multiple members belong, comprising: The steps to obtain information related to the fatigue stress of the aforementioned members; Steps for obtaining personal information related to the aforementioned members; The steps for calculating the fatigue pressure value of each of the above-mentioned members based on the information related to the fatigue pressure mentioned above. The steps for extracting adjustment target members from the above-mentioned multiple members are as follows: based on information related to the above-mentioned individuals that includes life events of the above-mentioned multiple members and the prescribed conditions for extracting adjustment target members that include whether the prescribed life events have occurred. The steps involve adjusting the set of fatigue stress values ​​based on the specified values ​​related to the aforementioned individuals, either by correcting the fatigue stress values ​​of the aforementioned adjustment target members or by excluding the fatigue stress values ​​of the aforementioned adjustment target members from the analysis; and... The steps for analyzing the fatigue stress state of the aforementioned tissues are based on the adjusted set of the aforementioned fatigue stress values.

19. A program product that causes a computer to perform the method described in claim 17 or 18.

20. A recording medium having a program that causes a computer to perform the method described in claim 17 or 18.

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