Continuous assessment method and device for psychological stress, medium and equipment

Abstract

The invention discloses a continuous assessment method and device for psychological stress, a medium and equipment. The method comprises the following steps: acquiring historical stress information of a target object; establishing a target pressure evaluation model of the target object for each type of historical pressure events according to the historical pressure information; collecting current stress information of the target object, and generating a current psychological stress evaluation result based on the corresponding target stress evaluation model; and querying a preset management library to generate a pressure management scheme. According to the invention, not only is the targeted pressure evaluation model established according to the pressure event of the detector, the user information and the reaction data, but also the current pressure information of the target object is continuously collected from a plurality of associated factor levels, so that the dynamic comprehensive pressure risk evaluation and pressure management demand analysis of the target object are realized; pressure health intervention guidance and supervision prompts are comprehensively coordinated, and complete-cycle, scientific and targeted pressure health management of a target object is completed.

Description

Technical Field

[0001] The present invention relates to the field of psychological assessment technology, and in particular to a method, device, medium and equipment for continuous assessment of psychological stress. Background Art

[0002] With the acceleration of the pace of social life and the change of medical model, mental health has become an important part of public health. Stress is the precursor of many mental health problems. At the same time, being under excessive stress for a long time will cause serious harm to the body's cardiovascular health and other physiological health. Therefore, good stress management is very important to improve the public's psychological and overall health level.

[0003] At present, clinical treatment methods for psychological problems are gradually enriched, but there are few methods for comprehensive assessment and continuous management of stress. First of all, the existing stress monitoring mainly relies on mental health assessment scales, which have certain limitations, mainly including incomplete detection information and can only reflect the current stress situation. Therefore, it is fragmentary and cannot know the ins and outs of stress, making it difficult to guide stress management. Secondly, the stress assessment process and results of existing technologies are usually obtained by comparing the standard values ​​of big data, which lacks pertinence and personalization. Different people may have different stress reactions to the same event, so it is very important to establish an assessment model suitable for specific users. Finally, the existing assessment method lacks continuity, which is reflected in the fact that the assessment model remains unchanged, but personal experience has a significant impact on the user's ability to withstand stress and the way stress is manifested, so the model needs to be continuously optimized. Summary of the invention

[0004] The present invention aims to solve one of the technical problems in the related art at least to a certain extent.

[0005] To this end, one purpose of the present invention is to provide a method for continuous psychological stress assessment, which not only establishes a targeted stress evaluation model based on the tester's own stress events, user information and response data, but also continuously collects the current stress information of the target object from multiple related factor levels, thereby realizing dynamic and comprehensive stress risk assessment and stress management needs analysis of the target object.

[0006] To achieve the above object, a first aspect of an embodiment of the present invention provides a method for continuously evaluating psychological stress, comprising the following steps:

[0007] Step 1, obtaining historical stress information of the target object, wherein the historical stress information includes historical stress events and historical reaction data and historical user information corresponding to each historical stress event;

[0008] Step 2, establishing a target stress evaluation model for each type of historical stress event of the target object according to the historical stress information;

[0009] Step 3, collecting the current stress information of the target object, and generating the current psychological stress evaluation result of the target object based on the corresponding target stress evaluation model, wherein the current stress information includes current reaction data and current stress events;

[0010] Step 4: query a preset management library to generate a stress management plan corresponding to the current psychological stress evaluation result.

[0011] A second aspect of an embodiment of the present invention provides a computer-readable storage medium storing a computer program. When the computer program is executed by a processor, the above-mentioned method for continuous assessment of psychological stress is implemented.

[0012] A third aspect of an embodiment of the present invention provides a device for continuously evaluating psychological stress, comprising a computer-readable storage medium and a processor, wherein the processor implements the steps of the above-mentioned method for continuously evaluating psychological stress when executing a computer program on the computer-readable storage medium.

[0013] A fourth aspect of an embodiment of the present invention provides a device for continuously evaluating psychological stress, including an acquisition module, a model building module, an evaluation module, and a query module.

[0014] The acquisition module is used to acquire historical stress information of the target object, wherein the historical stress information includes historical stress events and historical reaction data and historical user information corresponding to each historical stress event;

[0015] The model building module is used to establish a target pressure evaluation model for the target object for each type of historical pressure event according to the historical pressure information;

[0016] The evaluation module is used to collect the current stress information of the target object and generate the current psychological stress evaluation result of the target object based on the corresponding target stress evaluation model, wherein the current stress information includes current reaction data and current stress events;

[0017] The query module is used to query a preset management library and generate a stress management plan corresponding to the current psychological stress evaluation result.

[0018] The beneficial effects of the present invention are: the present invention provides a method, device, medium and equipment for continuous assessment of psychological stress, which not only establishes a targeted stress evaluation model based on the historical events, user information and stress response data of the tester himself, but also continuously collects the current stress information of the target object from multiple related factor levels, thereby realizing dynamic and comprehensive stress risk assessment and stress management needs analysis of the target object, comprehensively coordinating stress health intervention guidance and supervision prompts, and completing full-cycle, scientific and targeted stress health management of the target object.

[0019] In order to make the above-mentioned objects, features and advantages of the invention more obvious and easy to understand, the preferred embodiments of the present invention are specifically cited below and described in detail with reference to the attached drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for use in the embodiments are briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present invention and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without creative work.

[0021] Figure 1 is a flow chart of the method for continuous assessment of psychological stress provided in Example 1;

[0022] Figure 2 is a schematic diagram of the structure of the device for continuous assessment of psychological stress provided in Example 2;

[0023] Figure 3 Schematic diagram of the structure of the psychological stress continuous assessment device provided in Example 3. DETAILED DESCRIPTION

[0024] In order to make the purpose, technical scheme and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0025] It should be noted that, if there is no conflict, the various features in the embodiments of the present invention can be combined with each other, all within the scope of protection of the present invention. In addition, although the functional modules are divided in the device schematic diagram and the logical order is shown in the flow chart, in some cases, the steps shown or described can be performed in a different order from the module division in the device or the flow chart. Furthermore, the words "first", "second", "third", etc. used in the present invention do not limit the data and execution order, but only distinguish the same items or similar items with basically the same functions and effects.

[0026] Figure 1 1 is a flow chart of a method for continuous assessment of psychological stress provided in Example 1.

[0027] like Figure 1 As shown, the following steps are included:

[0028] Step 1, obtaining historical stress information of the target object, wherein the historical stress information includes historical stress events and historical reaction data and historical user information corresponding to each historical stress event;

[0029] Step 2, establishing a target stress evaluation model for each type of historical stress event of the target object according to the historical stress information;

[0030] Step 3, collecting the current stress information of the target object, and generating the current psychological stress evaluation result of the target object based on the corresponding target stress evaluation model;

[0031] Step 4: query a preset management library to generate a stress management plan corresponding to the current psychological stress evaluation result.

[0032] The above embodiments provide a method for continuous assessment of psychological stress, which not only establishes a targeted stress evaluation model based on the tester's own stress events, user information and stress response data, but also continuously collects the target object's current stress information from multiple related factor levels, such as current response data, current stress events and / or current user information, etc., thereby realizing dynamic and comprehensive stress risk assessment and stress management needs analysis for the target object, comprehensively coordinating stress health intervention guidance and supervision prompts, and completing full-cycle, scientific and targeted stress health management for the target object.

[0033] Each step of the above method is described in detail below using specific embodiments.

[0034] It can be understood that, in a specific embodiment, the historical stress information at least includes historical stress events, where historical stress events mainly refer to events caused by different types of stress sources that have caused fluctuations in user stress emotions or fluctuations in objective reaction data, including changing events (such as work and family changes), unfamiliar scene events (such as business trips and travel), multi-person scene events (such as team building), and life stage change events (such as weddings and funerals), etc., which can be mainly obtained through questionnaires, face-to-face consultations, etc.

[0035] Different people have different stress responses to the above-mentioned stress events, which means that different degrees of historical reaction data (hereinafter referred to as reaction data) will be generated. The reaction data here include subjective reaction data and objective reaction data. The subjective reaction data include stress cognition data, stress thinking patterns, stress self-efficacy data, personal satisfaction data and at least one of active decompression data (including active decompression methods and active decompression capabilities, etc.), which are mainly obtained through questionnaires, psychological assessments, etc. Objective reaction data mainly refers to physical indicator data, including sleep quality data, resting heart rate data, cortisol awakening response data, hair cortisol content data, breathing pattern data, facial expression data and verbal expression data. One or more combinations are mainly obtained by retrieving and analyzing the user's historical medical records, stress perception scales, historical physical examination reports, and historical health monitoring reports (such as daily health monitoring data recorded by smart wearable devices) in the same period.

[0036] As those skilled in the art know, it is difficult to obtain matching historical response data, especially objective response data, for some historical stress events. In view of the above scenario, a preferred embodiment of the present invention provides an objective response data supplementation step, which is specifically:

[0037] First, the historical user information of the target object is obtained, and the historical user information includes basic information and resource information. It can be understood that the historical user information here is also included in the historical pressure information, and the associated historical user information can be obtained when the historical pressure information is collected.

[0038] In a specific embodiment, the basic information includes at least one of age, gender, occupation, personality traits, household registration, health history, and living habits. The resource information mainly reflects the social resource status of the target object, including group information, personal network information, living environment information, purchasing power information, and / or social support information. Here, the social support information mainly refers to material support data, emotional support data, and social interaction support data from the government, charity organizations, mutual aid societies, relatives, friends, colleagues, etc.

[0039] It is understandable that the user information involved here mainly refers to the user information at the time when the historical stress event occurred, such as the age, occupation, purchasing power, etc. of the target object when the historical stress event occurred.

[0040] Then, the preset database is queried, and the objective response standard data with the highest matching degree is obtained according to the historical user information, and the objective response standard data is associated with the target object. It can be understood that the objective response standard data here is obtained by integrating big data, and is used to characterize the objective response data that the user is likely to generate when the basic situation, social status, wealth, etc. of the user represented by the user information are the same or similar, such as heart rate data, sleep duration data, cortisol content data, etc.

[0041] In other embodiments, the above-mentioned subjective reaction data and / or objective reaction data may be supplemented by scene simulation, scene recall or dynamic prediction methods, which will not be described in detail here.

[0042] Then, a target stress evaluation model for the target object can be generated by combining the above historical stress events, historical reaction data, historical user information, the group stress evaluation results of the user's group for the historical stress event, and / or the target object's self-stress evaluation results for the historical stress event.

[0043] In a preferred embodiment, the above step 2 establishes a target stress evaluation model for the target object for each type of historical stress event according to the historical stress information, which specifically includes the following steps:

[0044] First, the user group to which the target object belongs is generated based on the historical user information, and a basic evaluation model corresponding to the user group is obtained. In a specific embodiment, the user group can be divided according to occupation, or according to personality characteristics, social resource level, such as income level, etc. For example, a basic evaluation model can be established for the middle and senior management groups of an enterprise.

[0045] Then, the self-stress evaluation result of the target object for at least one of the historical stress events is obtained. And the influence coefficient corresponding to each historical reaction data under each type of historical stress event is generated according to the self-stress evaluation result of the target object, and an association relationship is established. In a specific embodiment, different types of historical stress events mainly refer to historical stress events with different stress sources.

[0046] Finally, the parameters of the basic evaluation model are adjusted according to the association relationship to generate a target stress evaluation model for the target object for each type of historical stress event.

[0047] It is understandable that each person has different tolerance and manifestation (subjective and objective reaction data) to stress caused by different types of stressors, and it is difficult for a general evaluation system to obtain accurate stress evaluation results. For example, for events of the same stress level, some people will have faster heartbeats and shorter sleep, while some may not, but their cortisol values ​​will change. For the same user, it is also possible to have faster heartbeats and shorter sleep under one type of stress event, and to react to changes in cortisol values ​​under another type of stress event. Therefore, by associating the self-stress evaluation results of the target object under different types of historical stress events with the corresponding historical reaction data, it is possible to know which reaction data has changed greatly under which stress events for the target object, and the degree of change corresponding to different stress levels. In other words, the influence coefficient corresponding to each historical reaction data under each type and stress level of historical stress events can be obtained, so as to optimize the basic evaluation model of the group, and obtain a personal evaluation model only for the target object, so as to obtain a more applicable and more accurate evaluation result.

[0048] Then, step 3 can be executed to collect the current stress information of the target object, and generate the psychological stress evaluation result of the target object at the current moment based on the corresponding target stress evaluation model.

[0049] In one embodiment, the current stress information includes current reaction data and current stress events, so that the target stress evaluation model of the corresponding event type is selected according to the current stress event. The current reaction data also includes current subjective reaction data and current objective reaction data. In a preferred embodiment, the current objective reaction data includes at least one of current sleep quality data, current resting heart rate data, current cortisol awakening reaction data, and current hair cortisol content data, or a combination of multiple ones.

[0050] It is understandable that the current stress information obtained may not include the current stress event, that is, no specific stress event has occurred, but the user may also experience stress emotions due to long-term stress accumulation. When evaluating psychological stress at this time, all target stress evaluation models of the target object can be used to obtain multiple evaluation results based on the current reaction data, and then all evaluation results are integrated, including marking repeated conclusions, deleting contradictory conclusions, retaining optional conclusions, etc., to obtain the current psychological stress evaluation result of the target object.

[0051] In another preferred embodiment, the current pressure information obtained may also include the current user information, and the current user information is compared with the historical user information, that is, the first similarity between the current basic information and the historical basic information and / or the second similarity between the current resource information and the historical resource information is calculated. When the first similarity and / or the second similarity is greater than the preset similarity threshold, the current target pressure evaluation model is reselected. In other words, if the current user information changes greatly, such as the user goes bankrupt, the target pressure evaluation model corresponding to the group when the purchasing power was strong in the past can no longer be used, but the target pressure evaluation model under the historical pressure event should be regenerated based on the current user information, thereby further improving the accuracy of the evaluation results.

[0052] It is understandable that the corresponding target stress evaluation model is first obtained according to the current stress event of the target object, and the target stress evaluation model includes reference values ​​corresponding to sleep quality data, resting heart rate data, cortisol awakening response data, and hair cortisol content data. For sleep quality data, it can be monitored by smart detection devices such as bracelets. For example, if the currently monitored sleep quality score is 80 points, and the reference value in the target stress evaluation model is 100, the first scoring data can be output, such as the probability of stress problems, stress levels, etc.

[0053] For resting heart rate data, it can be monitored by instruments such as a bracelet or a heart rate belt, and a reference value is set in the target pressure evaluation model. The reference value includes a fluctuation threshold and a cycle threshold. When the fluctuation amplitude of the resting heart rate within the cycle threshold exceeds the fluctuation threshold, the second scoring data is output. For example, if the reference value of the fluctuation threshold is 10%, and the reference value of the cycle threshold is 2 days, the fluctuation of the resting heart rate is monitored every day. If the fluctuation is 15% higher than the set value (such as 80-100) and lasts for more than two days, the second scoring data is output.

[0054] For the cortisol awakening response data, the cortisol content of the tester after waking up can be collected non-periodically to obtain the peak value of the cortisol content. Specifically, the cortisol content change data of the target object can be collected through saliva, such as monitoring the cortisol content level at 5 minutes, 30 minutes, 1 hour, 1.5 hours after waking up and at 2 o'clock in the afternoon, and drawing the cortisol awakening response curve at the same time (theoretically, the more time points monitored, the more accurate the curve). By comparing the daily curve with the curve of the previous day, the change data of the cortisol awakening content can be obtained. For example, if the peak value of today's curve is higher, it means that today's pressure is greater.

[0055] In a preferred embodiment, a reference value of the cortisol awakening response data is set in the target stress evaluation model, including a peak threshold and a curve integral threshold, where the peak threshold represents the maximum value of the cortisol content in the previous detection cycle, and the curve integral threshold represents the maximum value of the cortisol awakening response curve integral (i.e., the area under the curve) in the previous detection cycle. According to the cortisol awakening response curve, the maximum value of the current cortisol awakening response data and / or the current curve integral area are obtained, and the third scoring data is generated according to the comparison result of the maximum value and the peak threshold and / or the comparison result of the current curve integral area and the curve integral threshold.

[0056] For the hair cortisol content data, the hair growth rate and / or cortisol concentration data at different distances from the hair root of the tester can be collected. For example, the hair within 3 cm from the hair root of the tester is collected, and the hair cortisol concentration at this location is measured at the same time. A change curve is drawn through the hair growth rate and the hair cortisol concentration at different distances from the hair root, and a reference value of the corresponding change curve in the target stress evaluation model is obtained at the same time, and the fourth scoring data is generated according to the comparison result.

[0057] It can be understood that, in a preferred embodiment, the target stress evaluation model of the target object will comprehensively consider sleep quality data, resting heart rate data, cortisol awakening response data, and hair cortisol content data, etc. Therefore, the target stress evaluation model will set the influence coefficients of the above different types of data (used to represent the calculation weights), and at this time, step 3 specifically includes:

[0058] First, the target object's current sleep quality data, current resting heart rate data, current cortisol awakening response data, and current hair cortisol content data are collected and compared with corresponding reference values, and first scoring data, second scoring data, third scoring data, and fourth scoring data are generated according to the comparison results;

[0059] Then, the psychological stress score of the target object is calculated based on the influence coefficient of each objective response data and the first to fourth scoring data, for example, by performing weighted calculation on the first to fourth scoring data.

[0060] Finally, the current subjective response data of the target object and the psychological stress score are integrated to generate the current psychological stress evaluation result of the target object. In a preferred embodiment, the current psychological stress evaluation result includes the stress classification of the target object and at least one stress source, stress event, stress management needs and / or stress improvement suggestions, so as to obtain a more accurate evaluation result. Here, the stress improvement suggestions include psychological counseling, diet, exercise, daily life, social activities and other aspects.

[0061] It is understandable that in order to improve the accuracy of long-term psychological stress monitoring, in a preferred embodiment, the evaluation method further includes a model optimization step, specifically:

[0062] Collect feedback information from the target subject regarding the psychological stress evaluation result, wherein the feedback information includes confirmation results of stress classification, stress source, stress event, stress management needs and / or stress improvement suggestions. The confirmation results here include whether the information is received, whether the stress evaluation is consistent with the current situation, input of stress self-evaluation, whether the relevant stress management plan is agreed and accepted, etc.

[0063] The structure and parameters of the target pressure evaluation model are optimized according to the feedback information, so that the output result of the target pressure evaluation model is more consistent with the current pressure state of the target object.

[0064] In other embodiments, a comprehensive analysis can be performed on the daily monitoring data of the smart wearable device. The daily monitoring data here is not only the objective response data involved in the target stress evaluation model, but also includes blood pressure, breathing pattern data (such as breathing rhythm), facial expression data, speech expression data, and movement data, etc., from which the influencing factors and the degree of influence (i.e., the influence coefficient) closely related to any type of stress event and psychological stress evaluation results of the target object can be found, so as to supplement the target stress evaluation model, further optimize the target stress evaluation model, and improve the accuracy of the psychological stress evaluation of the target object.

[0065] Finally, step 4 is executed to query the preset management library and generate a stress management plan corresponding to the current psychological stress evaluation result. In a preferred embodiment, the stress management plan includes stress event management plan, stress source solution, energy repair therapy advice, life behavior guidance, exercise, diet, rehabilitation therapy, decompression therapy, psychological counseling services, scientific medical treatment and other program modules. At the same time, the various modules are integrated with each other. For example, after determining the exercise plan, the diet on the exercise day will be adjusted due to the amount of exercise.

[0066] In some preferred embodiments, the method further includes: guiding the examinee's psychological stress regulation behavior based on the stress management plan, non-periodically supervising the examinee's psychological stress regulation behavior, and continuously collecting reaction data sets. Specifically, supervise the implementation of each plan, and generate stress health trends in real time based on the implementation. For example, after the examinee completes a treatment, the corresponding stress score will be reduced. At the same time, track the changes in stress through real-time smart bracelets and self-stress report punch-ins, physical examination data, follow-up reports from stress managers, etc., adjust the stress management plan according to the stress health trend or stress changes, and remind the examinee to complete the tasks of the corresponding psychological management plan and pay attention to the corresponding emotional management.

[0067] It should be understood that the order of execution of the steps in the above embodiment does not necessarily mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiment of the present invention.

[0068] An embodiment of the present invention further provides a computer-readable storage medium storing a computer program, and when the computer program is executed by a processor, the above-mentioned method for continuous assessment of psychological stress is implemented.

[0069] Figure 2 is a schematic diagram of the structure of the continuous psychological stress assessment device provided in Example 2. Figure 2 As shown, it includes an acquisition module 100, a model building module 200, an evaluation module 300 and a query module 400.

[0070] The acquisition module 100 is used to acquire historical stress information of the target object, wherein the historical stress information includes historical stress events and historical reaction data and historical user information corresponding to each historical stress event;

[0071] The model building module 200 is used to establish a target pressure evaluation model for the target object for each type of historical pressure event according to the historical pressure information;

[0072] The evaluation module 300 is used to collect the current stress information of the target object and generate the current psychological stress evaluation result of the target object based on the corresponding target stress evaluation model;

[0073] The query module 400 is used to query a preset management library and generate a stress management plan corresponding to the current psychological stress evaluation result.

[0074] The above embodiments provide a device for continuous psychological stress assessment, which not only establishes a targeted stress evaluation model based on the historical events, user information and stress response data of the tester himself, but also continuously collects the current stress information of the target object from multiple related factor levels, thereby realizing dynamic and comprehensive stress risk assessment and stress management needs analysis for the target object, comprehensively coordinating stress health intervention guidance and supervision prompts, and completing full-cycle, scientific and targeted stress health management for the target object.

[0075] In a preferred embodiment, the model building module 200 specifically includes:

[0076] A first acquisition unit, configured to generate a user group to which the target object belongs according to the historical user information, and to acquire a basic evaluation model corresponding to the user group;

[0077] A second acquisition unit, configured to acquire a self-stress evaluation result of the target object for at least one of the historical stress events;

[0078] An association unit, used to generate an influence coefficient corresponding to each historical reaction data under each type of historical stress event according to the self-stress evaluation result of the target object, and establish an association relationship;

[0079] An adjustment unit is used to adjust the parameters of the basic evaluation model according to the association relationship to generate a target stress evaluation model for the target object for each type of historical stress event.

[0080] In a preferred embodiment, the continuous psychological stress assessment device of the present invention also includes an optimization module, which is specifically used to collect feedback information from the target object regarding the current psychological stress assessment result, wherein the feedback information includes confirmation results of stress classification, stress source, stress event, stress management needs and / or stress improvement suggestions; and is used to optimize the structure and parameters of the target stress assessment model based on the feedback information.

[0081] In a preferred embodiment, the psychological stress continuous assessment device of the present invention also includes a data supplement module, which is specifically used to obtain historical user information of the target object and query a preset database, obtain objective reaction standard data with the highest matching degree based on the historical user information, and associate the objective reaction standard data with the target object, wherein the historical user information includes basic information and resource information, the basic information includes at least one of age, gender, occupation, personality traits, household registration, health history and living habits; the resource information includes living environment information, purchasing power information and / or social support information.

[0082] In a preferred embodiment, the evaluation module 300 specifically includes:

[0083] a comparison unit, configured to obtain a corresponding target stress evaluation model according to a current stress event of the target object, and collect current sleep quality data, current resting heart rate data, current cortisol awakening response data, and current hair cortisol content data of the target object, and compare them with corresponding reference values, and generate first scoring data, second scoring data, third scoring data, and fourth scoring data according to the comparison results;

[0084] a calculation unit, configured to calculate a psychological stress score of the target object based on an influence coefficient of each objective response data and the first scoring data - the fourth scoring data;

[0085] The comprehensive evaluation unit is used to comprehensively analyze the current subjective response data of the target object and the psychological stress score to generate a current psychological stress evaluation result of the target object.

[0086] In a preferred embodiment, the comparison unit is specifically used to non-periodically collect the cortisol content of the target object at preset time points and draw a cortisol awakening response curve of the target object; and obtain the maximum value of the current cortisol data and / or the current curve integral area according to the cortisol awakening response curve, and generate third scoring data according to the comparison result of the maximum value and the peak threshold and / or the current curve integral area and / or the curve integral threshold; the preset time point includes at least one fixed moment and / or several moments after the target object wakes up.

[0087] The above embodiments provide a device for continuous psychological stress assessment, which not only establishes a targeted stress evaluation model based on the historical events, user information and stress response data of the tester himself, but also continuously collects the current stress information of the target object from multiple related factor levels, thereby realizing dynamic and comprehensive stress risk assessment and stress management needs analysis for the target object, comprehensively coordinating stress health intervention guidance and supervision prompts, and completing full-cycle, scientific and targeted stress health management for the target object.

[0088] An embodiment of the present invention further provides a device for continuously evaluating psychological stress, comprising a computer-readable storage medium and a processor, wherein the processor implements the steps of the above-mentioned method for continuously evaluating psychological stress when executing a computer program on the computer-readable storage medium.

[0089] Figure 3 is a schematic diagram of the structure of a device for continuously evaluating psychological stress provided by Example 3 of the present invention. Figure 3 As shown, the psychological stress continuous assessment device 8 of this embodiment includes: a processor 80, a readable storage medium 81, and a computer program 82 stored in the readable storage medium 81 and executable on the processor 80. When the processor 80 executes the computer program 82, the steps in the above-mentioned various method embodiments are implemented, for example Figure 1 Alternatively, when the processor 80 executes the computer program 82, the functions of the modules in the above-mentioned device embodiments are realized, for example Figure 2 Functionality of the modules shown.

[0090] Exemplarily, the computer program 82 may be divided into one or more modules, which are stored in the readable storage medium 81 and executed by the processor 80 to implement the present invention. The one or more modules may be a series of computer program instruction segments capable of implementing specific functions, which are used to describe the execution process of the computer program 82 in the psychological stress continuous assessment device 8.

[0091] The psychological stress continuous assessment device 8 may include, but is not limited to, a processor 80 and a readable storage medium 81. Those skilled in the art will appreciate that Figure 3 It is only an example of the continuous psychological stress assessment device 8 and does not constitute a limitation of the continuous psychological stress assessment device 8. It may include more or fewer components than shown in the figure, or a combination of certain components, or different components. For example, the continuous psychological stress assessment device may also include a power management module, an operation processing module, an input and output device, a network access device, a bus, etc.

[0092] The processor 80 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc.

[0093] The readable storage medium 81 may be an internal storage unit of the psychological stress continuous assessment device 8, such as a hard disk or memory of the psychological stress continuous assessment device 8. The readable storage medium 81 may also be an external storage device of the psychological stress continuous assessment device 8, such as a plug-in hard disk, a smart memory card (SmartMediaCard, SMC), a secure digital (SecureDigital, SD) card, a flash card (FlashCard), etc. equipped on the psychological stress continuous assessment device 8. Further, the readable storage medium 81 may also include both an internal storage unit and an external storage device of the psychological stress continuous assessment device 8. The readable storage medium 81 is used to store the computer program and other programs and data required by the psychological stress continuous assessment device. The readable storage medium 81 may also be used to temporarily store data that has been output or is to be output.

[0094] The technicians in the relevant field can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example for illustration. In practical applications, the above-mentioned function allocation can be completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiment can be integrated in a processing unit, or each unit can exist physically separately, or two or more units can be integrated in one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of this application. The specific working process of the units and modules in the above-mentioned system can refer to the corresponding process in the aforementioned method embodiment, which will not be repeated here.

[0095] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0096] Those of ordinary skill in the art will appreciate that the units and method steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0097] In the embodiments provided by the present invention, it should be understood that the disclosed devices / terminal equipment and methods can be implemented in other ways. For example, the device / terminal equipment embodiments described above are only schematic. For example, the division of the modules or units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0098] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0099] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0100] The present invention is not limited to what is described in the specification and implementation modes, and therefore additional advantages and modifications can be easily realized by those skilled in the art. Therefore, without departing from the spirit and scope of the general concept defined by the claims and their equivalents, the present invention is not limited to the specific details, representative devices, and illustrative examples shown and described herein.

Claims

1. A method for continuous assessment of psychological stress, characterized in that: The following steps are involved: Step 1, obtaining historical stress information of the target object, wherein the historical stress information includes historical stress events and historical reaction data and historical user information corresponding to each historical stress event; Step 2, establishing a target stress evaluation model for each type of historical stress event of the target object according to the historical stress information; Step 3, collecting the current stress information of the target object, and generating the current psychological stress evaluation result of the target object based on the corresponding target stress evaluation model; Step 4: query a preset management library to generate a stress management plan corresponding to the current psychological stress evaluation result.

2. The method for continuous assessment of psychological stress according to claim 1, characterized in that: A target pressure evaluation model for the target object for each type of historical pressure event is established according to the historical pressure information, specifically: Generate the user group to which the target object belongs according to the historical user information, and obtain the basic evaluation model corresponding to the user group; Obtaining a self-stress evaluation result of the target subject for at least one of the historical stress events; Generate the impact coefficients corresponding to each historical reaction data under each type of historical stress event according to the self-stress evaluation results of the target object, and establish a correlation relationship; The parameters of the basic evaluation model are adjusted according to the association relationship to generate a target stress evaluation model for the target object for each type of historical stress event.

3. The method for continuous assessment of psychological stress according to claim 1, characterized in that: The current psychological stress evaluation result includes the target object's stress classification and at least one stress source, stress event, stress management demand and / or stress improvement suggestion; the evaluation method also includes an optimization step, specifically: Collecting feedback information of the target object regarding the current psychological stress evaluation result, wherein the feedback information includes confirmation results of stress classification, stress source, stress event, stress management needs and / or stress improvement suggestions; The structure and parameters of the target pressure evaluation model are optimized according to the feedback information.

4. The method for continuous assessment of psychological stress according to any one of claims 1 to 3, characterized in that: The historical reaction data includes subjective reaction data and objective reaction data. The method further includes an objective reaction data supplementation step, specifically: Acquire historical user information of the target object, wherein the historical user information includes basic information and resource information, wherein the basic information includes at least one of age, gender, occupation, personality traits, household registration, health history, and living habits; and the resource information includes living environment information, purchasing power information, and / or social support information; A preset database is queried, objective response standard data with the highest matching degree is obtained according to the historical user information, and the objective response standard data is associated with the target object.

5. The method for continuous assessment of psychological stress according to claim 4, characterized in that: The subjective response data includes one or more combinations of stress cognition data, stress thinking patterns, stress self-efficacy data, personal satisfaction data and active stress reduction data; The objective response data includes one or more combinations of sleep quality data, resting heart rate data, cortisol awakening response data, hair cortisol content data, breathing pattern data, facial expression data, and verbal expression data.

6. The method for continuous assessment of psychological stress according to claim 5, characterized in that: The current stress information includes the current stress event, the current objective reaction data and the current subjective reaction data; the target stress evaluation model includes reference values ​​and influence coefficients corresponding to sleep quality data, resting heart rate data, cortisol awakening reaction data and hair cortisol content data, respectively. Step 3 is specifically as follows: Obtaining a corresponding target stress evaluation model according to the current stress event of the target object; Collecting the target object's current sleep quality data, current resting heart rate data, current cortisol awakening response data, and current hair cortisol content data, and comparing them with corresponding reference values, and generating first scoring data, second scoring data, third scoring data, and fourth scoring data according to the comparison results; Calculating the psychological stress score of the target object based on the influence coefficient of each objective response data and the first scoring data-the fourth scoring data; The current subjective response data of the target object and the psychological stress score are integrated to generate the current psychological stress evaluation result of the target object.

7. The method for continuous assessment of psychological stress according to claim 6, characterized in that: The reference values ​​corresponding to the cortisol awakening response data include a peak threshold and a curve integral threshold, and the third scoring data is generated specifically as follows: Aperiodically collecting the target subject's cortisol level at a preset time point and drawing the target subject's cortisol awakening response curve; Obtaining the maximum value of current cortisol data and / or the current curve integral area according to the cortisol awakening response curve, and generating third scoring data according to the comparison result of the maximum value with the peak threshold and / or the comparison result of the current curve integral area and / or the curve integral threshold; The preset time point includes at least one fixed time and / or several time points after the target object wakes up.

8. A device for continuous assessment of psychological stress, based on the method for continuous assessment of psychological stress according to any one of claims 1 to 7, characterized in that: It includes acquisition module, model building module, evaluation module and query module. The acquisition module is used to acquire historical stress information of the target object, wherein the historical stress information includes historical stress events and historical reaction data and historical user information corresponding to each historical stress event; The model building module is used to establish a target pressure evaluation model for the target object for each type of historical pressure event according to the historical pressure information; The evaluation module is used to collect the current stress information of the target object and generate the current psychological stress evaluation result of the target object based on the corresponding target stress evaluation model, wherein the current stress information includes current reaction data and current stress events; The query module is used to query a preset management library and generate a stress management plan corresponding to the current psychological stress evaluation result.

9. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the method for continuous assessment of psychological stress described in any one of claims 1 to 7 is implemented.

10. A device for continuous assessment of psychological stress, comprising a computer-readable storage medium and a processor, characterized in that: When the processor executes the computer program on the computer-readable storage medium, the processor implements the steps of the method for continuous psychological stress assessment according to any one of claims 1 to 7.

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