A stress induction and assessment method, system and device based on electrical stimulation

Abstract

The present invention discloses a stress induction and assessment method, system and equipment based on electrical stimulation, which relates to the field of training assistance. The method obtains resting-state data of a GSR wristband and basic electrical stimulation; performs training requirement analysis on training task information, establishes a connection with basic electrical stimulation based on the task requirement parameter type, and generates task electrical stimulation rule information; monitors the status of the tested user during training in real time, and when the tested user's status reaches the trigger condition in the task electrical stimulation rule information, activates the electrical stimulation equipment, and collects the GSR data of the tested user during training in real time; uses the GSR data and the resting-state data of the GSR wristband to determine the stress adaptation level and obtain the user's stress adaptation level. The method solves the technical problem of lacking effective means of training stimulation supervision and being unable to ensure the completion effect of the training task. The method achieves the effect of motivating the trained user through the generated stress response, and has the effect of supervising and improving the completion status of the training goal.

Description

Technical Field

[0001] The present invention relates to the field of training assistance technology, and in particular to a stress induction and assessment method, system and equipment based on electrical stimulation. Background Art

[0002] Training tasks require trainees to train tirelessly through their own efforts and willpower to improve their own level and complete the training goals. The training process is often full of hardships and difficulties. How to effectively motivate and supervise the trainees is of great significance to the training effect.

[0003] Stress reactions are nonspecific responses to various stressful stimuli (stressors). They include both physical and psychological components. The former includes "emergency response," cardiovascular reactions, and activation of the pituitary-adrenal system, while the latter includes emotional reactions and self-defense responses. An individual's stress response is the result of the interaction between the stimulus and their own physical and mental characteristics, rather than being unilaterally determined by external stimuli. Stress reactions can be used to provide state-based motivation for task training. By stimulating trainees through stimuli to generate state-based stress reactions, training requirements can be linked to stress reactions, allowing for monitoring and motivation of trainees.

[0004] The existing technology has the following technical problems:

[0005] The existing technology lacks effective means of training stimulation and supervision, and the training effect depends on the self-control of the trainees, which cannot guarantee the completion effect of the training task. Summary of the Invention

[0006] The purpose of this application is to provide a stress induction and evaluation method, system and equipment based on electrical stimulation, so as to solve the technical problems in the prior art that there is a lack of effective means of training stimulation supervision, the training effect relies on the self-control of the trainee, and the completion effect of the training task cannot be guaranteed.

[0007] In view of the above problems, the present application provides a stress induction and assessment method, system and device based on electrical stimulation.

[0008] In a first aspect, the present application provides a stress induction and assessment method based on electrical stimulation, which is applied to a wearable device, wherein the wearable device includes electrical stimulation equipment and a GSR bracelet, and the method includes: obtaining resting-state data of the GSR bracelet; determining the range of electrical stimulation parameters, and performing electrical stimulation threshold analysis of the user under test based on the electrical stimulation parameter range to obtain basic electrical stimulation; obtaining training task information, and performing training requirement analysis on the training task information to determine the task requirement parameter type; establishing a connection with the basic electrical stimulation based on the task requirement parameter type to generate task electrical stimulation rule information; real-time monitoring of the state of the user under test during training, and when the state of the user under test reaches the trigger condition in the task electrical stimulation rule information, starting the electrical stimulation equipment to perform electrical stimulation according to the electrical stimulation requirements in the task electrical stimulation rule information, and at the same time collecting GSR data of the individual user under test during training in real time through the GSR bracelet; using the GSR data and the resting-state data of the GSR bracelet to determine the stress adaptation level to obtain the user's stress adaptation level.

[0009] Preferably, the electrical stimulation parameter range is a pulse width greater than 600 μs, a pulse frequency of 1-4 Hz, and a current intensity not exceeding 50 mA.

[0010] Preferably, the range of electrical stimulation parameters is determined, and an electrical stimulation threshold analysis of the user under test is performed based on the electrical stimulation parameter range to obtain basic electrical stimulation, including: gradually increasing the electrical stimulation intensity based on the electrical stimulation parameter range, applying it to the user under test through electrical stimulation equipment, formulating a Likert scale, and determining the pain score level of the user under test; monitoring the applied electrical stimulation parameters and recording the pain score level of the user under test at the same time, and when the pain score level of the user under test or the applied electrical stimulation parameters reach the preset requirements, stopping the electrical stimulation operation and using the applied electrical stimulation parameters currently monitored as the basic electrical stimulation.

[0011] Preferably, the stress adaptation level is determined by using the GSR data and the GSR bracelet resting-state data to obtain the user's stress adaptation level, including: screening the GSR data collected in real time according to data requirements to determine valid GSR data; establishing a dynamic sliding window, and using the dynamic sliding window to calculate the collected valid GSR data to obtain monitoring data characteristics, wherein the monitoring data characteristics include skin conductance response data and skin conductance level data; performing stress adaptation level calculation based on the skin conductance response data, skin conductance level data, and GSR bracelet resting-state data to obtain the user's stress adaptation level.

[0012] Preferably, the collected valid GSR data is calculated using a dynamic sliding window to obtain monitoring data features, including: setting a time interval range; extracting matching data from the valid GSR data based on the set time interval range, performing data feature extraction on the matching data, and obtaining the monitoring data features.

[0013] Preferably, performing stress adaptation level calculation based on the skin conductance response data, skin conductance level data, and GSR wristband resting state data to obtain the user's stress adaptation level includes: using the formula: The skin conductance level change rate ΔSCL was calculated, where SCLpre was the average SCL of the pre-test 1 minute at rest, and SCLpost was the average SCL of the post-test 1 minute at rest; the formula was: The skin conductance response area change rate Δarea_SCR is calculated and obtained; and the stress adaptation level of the user is obtained according to the skin conductance level change rate and the skin conductance response area change rate.

[0014] Preferably, the stress adaptation level of the user is obtained according to the skin conductance level change rate and the skin conductance response area change rate, including: when count(Δarea_SCR t-post>80%)<60%&ΔSCL<50%, the stress adaptation level of the user is A; when count(Δarea_SCR t-post>80%)<60%|ΔSCL<50%, the stress adaptation level of the user is B; when count(Δ area_SCR t-post>80%)≥60%&ΔSCL≥50%, the stress adaptation level of the user is C.

[0015] Preferably, the GSR data collected in real time is screened according to data requirements to determine valid GSR data, including: determining the monitoring time of the GSR data to obtain the monitoring time; judging whether the electrical stimulation equipment is in an intermission period based on the monitoring time; and when in an intermission period, using the GSR data as the valid GSR data.

[0016] In a second aspect, the present application provides a stress induction and assessment system based on electrical stimulation, the system comprising: a resting state data acquisition unit for acquiring resting state data of a GSR wristband;

[0017] a basic electrical stimulation determination unit, configured to determine a range of electrical stimulation parameters, and perform an electrical stimulation threshold analysis on the user under test based on the range of electrical stimulation parameters to obtain a basic electrical stimulation;

[0018] A task type analysis unit is used to obtain training task information, perform training requirement analysis on the training task information, and determine the task requirement parameter type;

[0019] an electrical stimulation connection unit, configured to establish a connection with the basic electrical stimulation based on the task requirement parameter type and generate task electrical stimulation rule information;

[0020] A monitoring data acquisition unit is used to monitor the status of the measured user during the training process in real time. When the status of the measured user reaches the trigger condition in the task electrical stimulation rule information, the electrical stimulation device is activated to perform electrical stimulation according to the electrical stimulation requirements in the task electrical stimulation rule information, and the GSR data of the measured user during the training process is collected in real time through the GSR wristband;

[0021] The stress adaptation level calculation unit is used to determine the stress adaptation level by using the GSR data and the resting state data of the GSR bracelet to obtain the user's stress adaptation level.

[0022] In a third aspect, the present application provides a wearable device, which can execute any method step in the first aspect.

[0023] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0024] The method obtains resting-state data from a GSR wristband; determines a range of electrical stimulation parameters, and analyzes the electrical stimulation threshold of the user under test based on the electrical stimulation parameter range to obtain a basic electrical stimulation; obtains training task information, analyzes the training requirements of the training task information, and determines the task requirement parameter type; establishes a connection between the task requirement parameter type and the basic electrical stimulation to generate task electrical stimulation rule information; monitors the state of the user under test in real time during training, and when the user's state reaches the trigger condition in the task electrical stimulation rule information, activates the electrical stimulation device to perform electrical stimulation according to the electrical stimulation requirements in the task electrical stimulation rule information, while simultaneously collecting GSR data of the individual user under test during training in real time through the GSR wristband; and uses the GSR data and the resting-state data of the GSR wristband to determine the stress adaptation level to obtain the user's stress adaptation level. A matching training supervision stimulation scheme is set based on the different stress response adaptation levels of different training individuals, and the generated stress response motivates the trainee to achieve the training requirements, thereby achieving the technical effect of supervising and improving the completion of training goals. This solves the technical problem in the prior art that there is a lack of effective training stimulation and supervision means, the training effect depends on the self-control of the trainee, and the completion effect of the training task cannot be guaranteed.

[0025] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] In order to more clearly illustrate the technical solutions in this application or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are merely exemplary, and a person of ordinary skill in the art can obtain other drawings based on the provided drawings without any creative work.

[0027] Figure 1 A schematic flow chart of a stress induction and assessment method based on electrical stimulation provided in an embodiment of the present application;

[0028] Figure 2 A schematic diagram of a process for obtaining basic electrical stimulation in a stress induction and assessment method based on electrical stimulation provided in an embodiment of the present application;

[0029] Figure 3 A schematic diagram of a process for obtaining a user's stress adaptation level in a stress induction and assessment method based on electrical stimulation provided in an embodiment of the present application;

[0030] Figure 4 A schematic structural diagram of a stress induction and assessment system based on electrical stimulation provided in an embodiment of the present application. DETAILED DESCRIPTION

[0031] This application solves the technical problems in the prior art of lacking effective means of training stimulation supervision, relying on the self-control of the trainee for training results, and being unable to guarantee the completion of training tasks by providing a stress induction and evaluation method, system and equipment based on electrical stimulation.

[0032] The acquisition, storage, use, and processing of data in this application's technical solution comply with relevant national laws and regulations.

[0033] Below, the technical solutions in this application will be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of this application, rather than all the embodiments of this application. It should be understood that this application is not limited to the example embodiments described herein. Based on the embodiments of this application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application. It should also be noted that, for the convenience of description, only the parts related to this application, rather than all of them, are shown in the accompanying drawings.

[0034] Example 1

[0035] like Figure 1 As shown, the present application provides a stress induction and assessment method based on electrical stimulation, the method is applied to a wearable device, the wearable device includes electrical stimulation equipment and a GSR bracelet, the method includes:

[0036] Specifically, wearable devices include electrical stimulation equipment and GSR bracelets. Among them, electrical stimulation equipment includes but is not limited to portable electrical stimulation equipment, wearable electrical stimulation equipment, electrical stimulators and other devices that can perform electrical stimulation. GSR bracelets are bracelets that monitor skin current response and monitor the wearer's skin current response.

[0037] S1: Obtain resting state data from the GSR wristband.

[0038] Wear a wearable electrical stimulation device and a GSR wristband and collect resting-state GSR data for 1 minute. Because surface current can interfere with GSR data quality, the electrodes of the electrical stimulation device and the GSR acquisition terminal need to be kept a certain distance apart. Maintaining a certain distance between the electrical stimulation device and the GSR wristband ensures that resting-state data is collected without interference. This GSR wristband resting-state data is collected for 1 minute while the wristband is in resting state and free of current interference.

[0039] Furthermore, to ensure the reliability of data analysis and evaluation, when subsequently used as the basis for stress judgment and evaluation, the GSR data selected only used data collected during the electrical stimulation interval, that is, data without interference from the electrical stimulation equipment.

[0040] S2: Determine an electrical stimulation parameter range, perform an electrical stimulation threshold analysis on the user under test based on the electrical stimulation parameter range, and obtain a basic electrical stimulation.

[0041] Furthermore, the electrical stimulation parameter range is a pulse width greater than 600 μs, a pulse frequency of 1-4 Hz, and a current intensity not exceeding 50 mA.

[0042] Further, such as Figure 2 As shown, the range of electrical stimulation parameters is determined, and the electrical stimulation threshold of the user under test is analyzed based on the electrical stimulation parameter range to obtain basic electrical stimulation. S2 includes: S21: gradually increasing the electrical stimulation intensity based on the electrical stimulation parameter range, applying it to the user under test through electrical stimulation equipment, and formulating a Likert scale to determine the pain score level of the user under test; S22: monitoring the applied electrical stimulation parameters and recording the pain score level of the user under test at the same time. When the pain score level of the user under test or the applied electrical stimulation parameters reach the preset requirements, the electrical stimulation operation is stopped, and the applied electrical stimulation parameters currently monitored are used as the basic electrical stimulation.

[0043] Because each user has a different threshold for tolerating pain from electrical current, we conduct individual pain threshold testing and analysis to develop a customized stimulation protocol. Within the stimulation parameter range, stimulation is applied from low to high, gradually increasing the current intensity until the preset requirement is reached.

[0044] The preset requirements include: when the individual's subjective pain score reaches 7-9 points, or the current intensity reaches the maximum threshold of 50mA, the current intensity will stop increasing and the current electrical stimulation parameters will be used as the basic electrical stimulation for the current user being tested.

[0045] The individual's subjective pain score is assessed using a Likert scale. It should be understood that the Likert scale is the most commonly used type of summation scale. Items belonging to the same construct are scored in aggregate, and individual items are meaningless. The scale consists of a set of statements, each with five responses: "strongly agree," "agree," "not sure," "disagree," and "strongly disagree," scored as 5, 4, 3, 2, and 1, respectively. The total attitude score for each respondent is the sum of the scores for each question. This total score can indicate the strength of their attitude or their different states on the scale. In this embodiment of the application, the pain experienced due to electrical stimulation is scored on a scale of 1 to 9, with 1 indicating no sensation and 9 indicating severe pain. Higher scores indicate stronger pain. The user's pain score is determined by collecting and entering information based on the Likert scale.

[0046] Optionally, the tolerance range of the user being stabbed is determined through pattern recognition technology or subjective emotion scoring, so as to select the optimal electrical stimulation parameters: frequency, intensity, and pulse width, to ensure that the user being tested shows significant negative pleasure, positive arousal, positive fear, and positive aversion during electrical stimulation compared to when not being stimulated, that is, the user can be successfully induced to produce instantaneous stress similar to jump scare, thereby improving the training effect.

[0047] It should be understood that stress reactions are a type of non-specific reaction caused by various stressful stimuli (stressors). These reactions include both physical (physiological) and psychological (behavioral) components. The former include "emergency response," cardiovascular reactions, and activation of the pituitary-adrenal system, while the latter include emotional reactions and self-defense reactions. An individual's stress reaction is the result of the interaction between the stimulus and their own physical and mental characteristics, rather than being unilaterally dependent on external stimuli. Leveraging the generated stress response to motivate the trainee to achieve training requirements has the technical effect of monitoring and improving the completion of training goals.

[0048] The corresponding electrical stimulation parameters are set according to the different tolerance conditions of the users to perform electrical stimulation in order to successfully induce the stress response of the tested users and motivate the users to complete the training tasks during the training process.

[0049] S3: Obtain training task information, perform training requirement analysis on the training task information, and determine the task requirement parameter type.

[0050] S4: Establishing a connection between the task requirement parameter type and the basic electrical stimulation to generate task electrical stimulation rule information.

[0051] Determine the type of task parameters based on the objectives of the specific training task. This involves tasks that balance speed, accuracy, and persistence, such as the Gonogo test, the IAT, the stroop test, competing responses, or other training tasks. Taking the stroop test as an example, it's important to understand that the Stroop effect, in psychology, refers to the interference of dominant responses with nondominant responses. For example, when a participant is asked to answer the color of a meaningful font, answering the meaning of the font itself is a dominant response, while answering the font color is a nondominant response. If the font color differs from the meaning of the font, the participant's response speed will often decrease and their error rate will increase.

[0052] Different forms of connection between electrical stimulation and tasks are specified according to different task types. For example, the user being tested is required to complete all rounds of the stroop task within a limited time. If the task fails to complete the task on time, the user being tested will be electrically stimulated by the electrical stimulation device for each remaining trial. The user being tested is required to complete each stroop task as correctly as possible. Each failure will result in a momentary electrical stimulation. The requirements of different training tasks are used to establish a connection with the electrical stimulation, and corresponding task electrical stimulation rule information is generated, that is, when a certain state is reached, the electrical stimulation device is triggered, and corresponding stimulation is performed according to the user's basic electrical stimulation information. The electrical stimulation parameters in the task electrical stimulation rule information will be greater than the user's basic electrical stimulation information. The greater degree is preferably 1-2 points. For example, if the user scores 7 points, the stimulation process can be an intensity corresponding to 8 or 9 points, so as to achieve an incentive stimulation effect and enhance the training enthusiasm of the user being tested.

[0053] Establish a connection between electrical stimulation and task performance, and inform the user that the pain they feel during the task is higher than the basic electrical stimulation, and the electrical stimulation intensity in the training task is ≥ the basic electrical stimulation.

[0054] S5: Monitor the status of the user under test during the training process in real time. When the status of the user under test reaches the trigger condition in the task electrical stimulation rule information, start the electrical stimulation equipment to perform electrical stimulation according to the electrical stimulation requirements in the task electrical stimulation rule information. At the same time, collect the GSR data of the individual user under test during the training process in real time through the GSR bracelet.

[0055] The GSR data of the tested users is recorded from the start to the end of the task, which induces state stress. By continuously performing this task, the stress adaptability of individuals or groups can be trained, which can motivate and supervise users during the training process and improve the training effect.

[0056] S6: Using the GSR data and the resting state data of the GSR wristband to determine the stress adaptation level, and obtain the user's stress adaptation level.

[0057] Further, such as Figure 3 As shown, the stress adaptation level is determined by using the GSR data and the resting state data of the GSR wristband to obtain the user's stress adaptation level. S6 includes:

[0058] S61: screening the GSR data collected in real time according to data requirements to determine valid GSR data;

[0059] S62: establishing a dynamic sliding window, and using the dynamic sliding window to calculate the collected effective GSR data to obtain monitoring data features, wherein the monitoring data features include skin conductance response data and skin conductance level data;

[0060] S63: Perform stress adaptation level calculation based on the skin conductance response data, the skin conductance level data, and the GSR wristband resting state data to obtain the user's stress adaptation level.

[0061] Furthermore, the collected effective GSR data is calculated using a dynamic sliding window to obtain monitoring data features. S62 includes:

[0062] S621: Setting the time interval range;

[0063] S622: Extract matching data from the valid GSR data based on the set time interval, perform data feature extraction on the matching data, and obtain the monitoring data features.

[0064] Furthermore, a stress adaptation level calculation is performed based on the skin conductance response data, the skin conductance level data, and the GSR wristband resting state data to obtain the user's stress adaptation level. S63 includes:

[0065] S631: By formula: The skin conductance level change rate ΔSCL was calculated, where SCLpre was the average SCL of the pre-test 1 minute at rest, and SCLpost was the average SCL of the post-test 1 minute at rest;

[0066] S632: By formula: Calculate the skin conductance response area change rate Δarea_SCR;

[0067] S633: Obtain the user's stress adaptation level according to the skin conductance level change rate and the skin conductance reaction area change rate.

[0068] Furthermore, the user's stress adaptation level is obtained according to the skin conductance level change rate and the skin conductance reaction area change rate. S633 includes:

[0069] S6331: When count(Δarea_SCR t-post>80%)<60%&ΔSCL<50%, the user's stress adaptation level is A;

[0070] S6332: When count(Δarea_SCR t-post>80%)<60%|ΔSCL<50%, the user's stress adaptation level is B;

[0071] S6333: When count(Δarea_SCR t-post>80%)≥60%&ΔSCL≥50%, the user's stress adaptation level is level C.

[0072] Furthermore, the GSR data collected in real time is screened according to data requirements to determine valid GSR data. S61 includes:

[0073] S611: Determine the monitoring time of the GSR data to obtain the monitoring time;

[0074] S612: Determining whether the electrical stimulation device is in an intermission period based on the monitoring time;

[0075] S613: When , the GSR data is used as the valid GSR data.

[0076] In order to avoid interference of electrodes on the data collected by the GSR bracelet, when evaluating the user's stress level, the GSR data used is the data collected during the interval of the electrical stimulation equipment. Therefore, before making a judgment, the collected GSR data is first determined and screened, and the data collected during the interval of the electrical stimulation equipment is analyzed and processed.

[0077] The wristband collects real-time GSR data during training, calculates GSR feature data through a dynamic sliding window, and assesses stress adaptation levels. The GSR wristband collects data including pulse wave, skin conductance, acceleration, angular velocity, skin temperature, ambient temperature, temperature, and air pressure.

[0078] By setting a dynamic sliding window for calculation, the bracelet collects raw data while synchronously calculating the required feature data based on the raw data. The sliding window has a fixed interval range. For example, if it is set to 10s, the corresponding data features are extracted based on 10s of data each time. Among the various data collected by the GSR bracelet, the embodiment of the present application mainly uses skin conductance EDA. EDA can obtain skin conductance response SCR and skin conductance level SCL through feature extraction. These two feature data are used to evaluate the user's stress response level.

[0079] The sliding window is calculated dynamically according to the time interval. The area of ​​each window SCR is determined as time t changes. The GSR wristband is subjected to 1 minute of resting state data collection before and after the measurement. The collected skin conductance response (SCR), skin conductance level (SCL), and resting state data are calculated using the formula: When count(Δarea_SCR t-post>80%)>60%, the user's stress response level is evaluated. When count(Δarea_SCRt-post>80%)<60%&ΔSCL<50%, the user's stress adaptation level is A; when count(Δarea_SCR t-post>80%)<60%|ΔSCL<50%, the user's stress adaptation level is B; when count(Δarea_SCR t-post>80%)≥60%&ΔSCL≥50%, the user's stress adaptation level is C. Wherein, area_SCR t is the SCR area of ​​each window that changes with time t, SCL pre The average SCL and SCL of the resting state in the previous 1 minute postThe average SCL at rest during the 1-minute post-test. Δarea_SCR is the rate of change in skin conductance response area (i.e., area_SCR at post-test t2 minus area_SCR at pre-test t1, divided by area_SCR at pre-test t1). Count is the statistical number or ratio of triggering under a certain condition. For example, if count(Δarea_SCR t-post>80%)>60%, it means that the skin conductance response area changed by more than 80% compared to the pre-test resting state during training, accounting for more than 60% of the time. The user's stress adaptation level is determined based on the range of the statistical ratio. A higher stress adaptation level indicates a less negative impact of the stress training scenario on the participant's physiological signs and training-related abilities, indicating a higher level of adaptation to the stressful situation. The individual's stress adaptation level is used to determine the appropriate stress training for the participant. This stress training is used to motivate the participant to maintain consistent and effective training, achieve training goals, and thus improve training effectiveness. The present invention solves the technical problems in that the existing technology lacks effective means of training stimulation and supervision, the training effect depends on the self-control of the trainee, and the completion effect of the training task cannot be guaranteed.

[0080] The three categories of the grade division examples provided in the embodiments of the present application can be used to perform more detailed or broader stress level grading by adjusting different parameter standards, and specific settings and adjustments can be made according to the evaluation requirements of specific training tasks.

[0081] Example 2

[0082] Based on the same inventive concept as the stress induction and assessment method based on electrical stimulation in the above embodiment, Figure 4 As shown, the present application also provides a stress induction and assessment system based on electrical stimulation, the system comprising:

[0083] A resting state data acquisition unit, used to obtain resting state data of the GSR wristband;

[0084] a basic electrical stimulation determination unit, configured to determine a range of electrical stimulation parameters, and perform an electrical stimulation threshold analysis on the user under test based on the range of electrical stimulation parameters to obtain a basic electrical stimulation;

[0085] A task type analysis unit is used to obtain training task information, perform training requirement analysis on the training task information, and determine the task requirement parameter type;

[0086] an electrical stimulation connection unit, configured to establish a connection with the basic electrical stimulation based on the task requirement parameter type and generate task electrical stimulation rule information;

[0087] A monitoring data acquisition unit is used to monitor the status of the measured user during the training process in real time. When the status of the measured user reaches the trigger condition in the task electrical stimulation rule information, the electrical stimulation device is activated to perform electrical stimulation according to the electrical stimulation requirements in the task electrical stimulation rule information, and the GSR data of the measured user during the training process is collected in real time through the GSR wristband;

[0088] The stress adaptation level calculation unit is used to determine the stress adaptation level by using the GSR data and the resting state data of the GSR bracelet to obtain the user's stress adaptation level.

[0089] Furthermore, the system further comprises:

[0090] The electrical stimulation parameter setting unit is used to set the electrical stimulation parameter range to a pulse width greater than 600 μs, a pulse frequency of 1-4 Hz, and a current intensity not exceeding 50 mA.

[0091] Furthermore, the basic electrical stimulation determination unit includes:

[0092] a grading unit, configured to gradually increase the intensity of electrical stimulation based on the electrical stimulation parameter range, apply the electrical stimulation to the user being tested via the electrical stimulation device, and formulate a Likert scale to determine the pain rating of the user being tested;

[0093] The electrical stimulation monitoring unit is used to monitor the applied electrical stimulation parameters and record the pain score level of the user being tested. When the pain score level of the user being tested or the applied electrical stimulation parameters reach the preset requirements, the electrical stimulation operation is stopped and the applied electrical stimulation parameters currently monitored are used as the basic electrical stimulation.

[0094] Furthermore, the stress adaptation level calculation unit includes:

[0095] A data screening unit, configured to screen the GSR data collected in real time according to data requirements to determine valid GSR data;

[0096] a sliding window calculation unit, configured to establish a dynamic sliding window and calculate the collected effective GSR data using the dynamic sliding window to obtain monitoring data features, wherein the monitoring data features include skin conductance response data and skin conductance level data;

[0097] The level calculation unit is used to perform stress adaptation level calculation based on the skin conductance response data, the skin conductance level data, and the GSR wristband resting state data to obtain the user's stress adaptation level.

[0098] Furthermore, the sliding window calculation unit is further configured to:

[0099] Set the time interval range;

[0100] Matching data is extracted from the valid GSR data based on the set time interval, and data feature extraction is performed on the matching data to obtain the monitoring data feature.

[0101] Furthermore, the level calculation unit is further configured to:

[0102] By formula: The skin conductance level change rate ΔSCL was calculated, where SCLpre was the average SCL of the pre-test 1 minute at rest, and SCLpost was the average SCL of the post-test 1 minute at rest;

[0103] By formula: Calculate the skin conductance response area change rate Δarea_SCR;

[0104] The stress adaptation level of the user is obtained according to the skin conductance level change rate and the skin conductance reaction area change rate.

[0105] Furthermore, the level calculation unit is further configured to:

[0106] When count(Δarea_SCR t-post>80%)<60%&ΔSCL<50%, the user's stress adaptation level is A;

[0107] When count(Δarea_SCR t-post>80%)<60%|ΔSCL<50%, the user's stress adaptation level is B;

[0108] When count(Δarea_SCR t-post>80%)≥60%&ΔSCL≥50%, the user's stress adaptation level is level C.

[0109] Furthermore, the data screening unit includes:

[0110] A monitoring time determining unit, configured to determine the monitoring time of the GSR data to obtain the monitoring time;

[0111] an intermission determination unit, configured to determine whether the electrical stimulation device is in an intermission period based on the monitoring time;

[0112] The valid data determining unit is configured to, when , use the GSR data as the valid GSR data.

[0113] The electrical stimulation-based stress induction and assessment method and specific examples in the aforementioned embodiment 1 are also applicable to the electrical stimulation-based stress induction and assessment system of this embodiment. Through the aforementioned detailed description of the electrical stimulation-based stress induction and assessment method, those skilled in the art will clearly understand the electrical stimulation-based stress induction and assessment system of this embodiment. Therefore, for the sake of brevity, a detailed description is not given here. As for the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant details can be referred to the method section.

[0114] The above description of the disclosed embodiments is intended to enable one skilled in the art to implement or use the present application. Various modifications to these embodiments will be readily apparent to one skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application is not limited to the embodiments shown herein, but is intended to conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A stress induction and assessment method based on electrical stimulation, characterized in that: The method is applied to a wearable device, the wearable device including an electrical stimulation device and a GSR wristband, and the method includes: Obtain resting state data from the GSR wristband; Determining an electrical stimulation parameter range, and performing an electrical stimulation threshold analysis on the user under test based on the electrical stimulation parameter range to obtain a basic electrical stimulation; Obtaining training task information, and performing training requirement analysis on the training task information to determine the task requirement parameter type; Establishing a connection between the task requirement parameter type and the basic electrical stimulation to generate task electrical stimulation rule information; Real-time monitoring of the state of the user under test during the training process. When the state of the user under test reaches the trigger condition in the task electrical stimulation rule information, the electrical stimulation equipment is activated to perform electrical stimulation according to the electrical stimulation requirements in the task electrical stimulation rule information, and at the same time, the GSR data of the individual user under test during the training process is collected in real time through the GSR bracelet; The GSR data and the resting state data of the GSR bracelet are used to determine the stress adaptation level to obtain the user's stress adaptation level.

2. The method according to claim 1, wherein The electrical stimulation parameter range is a pulse width greater than 600 μs, a pulse frequency of 1-4 Hz, and a current intensity not exceeding 50 mA.

3. The method according to claim 1, wherein Determining an electrical stimulation parameter range, performing an electrical stimulation threshold analysis on the user under test based on the electrical stimulation parameter range, and obtaining a basic electrical stimulation, including: gradually increasing the intensity of electrical stimulation based on the electrical stimulation parameter range, applying the electrical stimulation to the user being tested through the electrical stimulation device, and developing a Likert scale to determine the pain score level of the user being tested; Monitor the applied electrical stimulation parameters and record the pain score level of the user being tested. When the pain score level of the user being tested or the applied electrical stimulation parameters reach the preset requirements, stop the electrical stimulation operation and use the applied electrical stimulation parameters currently monitored as the basic electrical stimulation.

4. The method according to claim 1, wherein The stress adaptation level is determined by using the GSR data and the resting state data of the GSR wristband to obtain the user's stress adaptation level, including: Screening the GSR data collected in real time according to data requirements to determine valid GSR data; Establishing a dynamic sliding window, and using the dynamic sliding window to calculate the collected effective GSR data to obtain monitoring data features, wherein the monitoring data features include skin conductance response data and skin conductance level data; A stress adaptation level calculation is performed based on the skin conductance response data, the skin conductance level data, and the GSR bracelet resting state data to obtain the user's stress adaptation level.

5. The method according to claim 4, wherein The dynamic sliding window is used to calculate the collected effective GSR data to obtain the monitoring data characteristics, including: Set the time interval range; Matching data is extracted from the valid GSR data based on the set time interval, and data feature extraction is performed on the matching data to obtain the monitoring data feature.

6. The method according to claim 4, wherein Performing a stress adaptation level calculation based on the skin conductance response data, the skin conductance level data, and the GSR wristband resting state data to obtain the user's stress adaptation level includes: By formula: , calculate the skin conductance level change rate ΔSCL, where SCLpre is the average SCL of the resting state in the pre-test 1 minute, and SCLpost is the average SCL of the resting state in the post-test 1 minute; By formula: , calculate the skin conductance response area change rate Δarea_SCR, where area_SCRt is the SCR area of ​​each window that changes with time t, that is, the area of ​​the post-measurement period t2. Subtract the previous test period t1 , then divide the previous measurement of t1 period The value obtained; The stress adaptation level of the user is obtained according to the skin conductance level change rate and the skin conductance reaction area change rate.

7. The method according to claim 6, wherein Obtaining the user's stress adaptation level according to the skin conductance level change rate and the skin conductance response area change rate, including: When count(Δarea_SCR t-post >80%)<60% & ΔSCL<50%, the user's stress adaptation level is A, where count is the statistical number or proportion of triggering under a certain condition, and count(Δarea_SCR t-post>80%)>60% means that during the training process, the skin conductance response area changed by more than 80% compared to the pre-test resting state, accounting for more than 60% of the times; When count(Δarea_SCR t-post >80%)<60% | ΔSCL<50%, the user's stress adaptation level is B; When count(Δarea_SCR t-post >80%)≥60% & ΔSCL≥50%, the user's stress adaptation level is C.

8. The method according to claim 4, wherein The GSR data collected in real time is screened according to data requirements to determine valid GSR data, including: Determining the monitoring time of the GSR data to obtain the monitoring time; determining whether the electrical stimulation device is in an intermission period based on the monitoring time; When , the GSR data is taken as the valid GSR data.

9. A stress induction and assessment system based on electrical stimulation, characterized in that: The system comprises: A resting state data acquisition unit, used to obtain resting state data of the GSR wristband; a basic electrical stimulation determination unit, configured to determine a range of electrical stimulation parameters, and perform an electrical stimulation threshold analysis on the user under test based on the range of electrical stimulation parameters to obtain a basic electrical stimulation; A task type analysis unit is used to obtain training task information, perform training requirement analysis on the training task information, and determine the task requirement parameter type; an electrical stimulation connection unit, configured to establish a connection with the basic electrical stimulation based on the task requirement parameter type and generate task electrical stimulation rule information; A monitoring data acquisition unit is used to monitor the status of the measured user during the training process in real time. When the status of the measured user reaches the trigger condition in the task electrical stimulation rule information, the electrical stimulation device is activated to perform electrical stimulation according to the electrical stimulation requirements in the task electrical stimulation rule information, and the GSR data of the measured user during the training process is collected in real time through the GSR wristband; The stress adaptation level calculation unit is used to determine the stress adaptation level by using the GSR data and the resting state data of the GSR bracelet to obtain the user's stress adaptation level.

10. A wearable device, characterized in that: The wearable device can execute the steps of any method described in claims 1-8.

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