CN110743078B

CN110743078B - Psychological adjustment training scheme generation method and equipment

Info

Publication number: CN110743078B
Application number: CN201910821216.7A
Authority: CN
Inventors: 任满钧
Original assignee: Beijing Longxin Technology Co ltd
Current assignee: Beijing Longxin Technology Co ltd
Priority date: 2019-08-05
Filing date: 2019-09-02
Publication date: 2022-07-26
Anticipated expiration: 2039-09-02
Also published as: CN110743074B; CN110743077A; CN110743079A; CN110752034A; CN110743074A; CN110743078A; CN110752007A; CN110743077B; CN110743079B

Abstract

The invention provides a mental adjustment training scheme generation method and equipment, wherein the method comprises the following steps: collecting a first physiological signal of a user; judging whether various psychological states are abnormal or not according to the first physiological signal; when abnormal psychological states exist, determining at least one psychological adjustment training alternative according to various abnormal psychological states, wherein the psychological adjustment training alternative comprises information used for instructing the training equipment to execute training actions; generating a psychometric training program comprising information for instructing the training device to perform a training action according to the at least one psychometric training alternative.

Description

Psychological adjustment training scheme generation method and equipment

Technical Field

The invention relates to the field of psychotherapy, in particular to a mental adjustment training scheme generation method and equipment.

Background

Modern medicine indicates that human health includes both physical health and psychological health, and that simply pursuing physical health and neglecting psychological health not only causes mental diseases but also induces various somatic diseases. In modern society, people are in an increasingly serious psychological sub-health condition due to the accelerated running rhythm and the increasing competition situation.

Psychological counseling and psychological treatment are increasingly receiving social attention as means for solving psychological problems. People can choose to determine and try to solve problems through psychological counseling and psychological treatment when doubts exist about possible abnormality of the psychological state of the people.

The existing psychological counseling and psychological treatment scheme is that psychological experts use psychological methods to provide psychological assistance for inquirers who have problems in the aspect of psychological adaptation and seek to solve the problems. The existing scheme belongs to a treatment process, measures are usually taken when people self-recognize that problems exist or are in a sick state, intervention and evacuation are not carried out from a psychological sub-health state, people in the situation often have serious abnormity, effects which can be obtained through consultation and treatment are very limited, and the process is dependent on manpower and has low efficiency.

Disclosure of Invention

In view of this, the present invention provides a method for generating a mental adjustment training scheme, including:

collecting a first physiological signal of a user;

judging whether various psychological states are abnormal or not according to the first physiological signal;

when abnormal psychological states exist, determining at least one psychological adjustment training alternative according to various abnormal psychological states, wherein the psychological adjustment training alternative comprises information used for instructing the training equipment to execute training actions;

generating a psychometric training program comprising information for instructing the training device to perform a training action according to the at least one psychometric training alternative.

Optionally, the mental state comprises neural balance, mood, mental stress, physical fatigue, ability to adapt.

Optionally, each abnormal psychological state corresponds to a respective psychological adjustment training alternative.

Optionally, the mental adjustment training alternative includes multiple types of training device information, and the multiple types of training device information in the mental adjustment training alternative corresponding to various abnormal mental states are the same.

Optionally, in the step of determining whether the plurality of psychological states are abnormal according to the first physiological signal, the abnormal degrees of the abnormal psychological states are further respectively determined;

in the step of determining at least one mental adjustment training alternative according to various abnormal mental states, for the same abnormal mental state, the mental adjustment training alternatives corresponding to different abnormal degrees are different.

Optionally, the mental adjustment training alternative includes training frequency information and/or training difficulty information;

generating a psychomotor training regimen from the at least one psychomotor training alternative when there are a plurality of abnormal psychological states, including:

determining the psychological state with the highest abnormal degree in the multiple abnormal psychological states;

acquiring training frequency information and/or training difficulty information in a psychological adjustment training alternative scheme corresponding to the psychological state with the highest degree of abnormality;

and generating a mental adjustment training scheme, wherein the training frequency information and/or the training difficulty information are included.

Optionally, the mental adjustment training alternative includes training material information;

respectively acquiring training material information in psychological adjustment training alternative schemes corresponding to various abnormal psychological states;

and generating a psychological adjustment training scheme, wherein training material information in the psychological adjustment training alternative scheme corresponding to various abnormal psychological states is considered.

Optionally, the first physiological signal comprises a heart rate signal and a blood oxygen signal.

Optionally, the determining whether the plurality of psychological states are abnormal according to the first physiological signal includes:

determining heart rate variability information from the first physiological signal;

and determining whether the plurality of psychological states are abnormal or not according to the heart rate variability information.

Accordingly, the present invention provides a psychomotor training scenario generating apparatus, comprising: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the one processor to cause the at least one processor to perform the psychomotor training regimen generating method described above.

According to the psychological adjustment training scheme generation method and the equipment provided by the invention, firstly, the physiological signal of the user is collected, whether various psychological states of the user are abnormal or not is objectively determined based on the physiological signal, namely whether the various psychological states of the user are abnormal or not is respectively determined under each psychological dimension, then, a set of training scheme which can be executed by the psychological adjustment training equipment is determined according to the alternative adjustment training scheme corresponding to the various abnormal psychological states, so that the psychological adjustment training scheme with stronger pertinence is generated by synthesizing various psychological states of the user, and the psychological health of the user is promoted without the intervention of psychological experts.

Drawings

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.

Fig. 1 is a flowchart of a psychometric training scheme generation method in an embodiment of the present invention;

fig. 2 is a schematic diagram of a psychomotor training system according to an embodiment of the present invention.

Detailed Description

The technical solutions of the present invention will be described clearly and completely with reference to the accompanying drawings, and it is to be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

In the description of the present invention, it should be noted that the terms "first", "second", etc. are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.

In the description of the present invention, it should be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; can be mechanically or electrically connected; the two elements may be directly connected or indirectly connected through an intermediate medium, or may be communicated with each other inside the two elements, or may be wirelessly connected or wired connected. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.

In addition, the technical features involved in the different embodiments of the present invention described below may be combined with each other as long as they do not conflict with each other.

The invention provides a mental adjustment training scheme generation method, which is executed by electronic equipment such as a tablet personal computer, a server and the like and is used for generating a training scheme capable of being executed by special training equipment. As shown in fig. 1, the method comprises the following steps:

and S1, collecting a first physiological signal of the user. The first physiological signal may be any signal capable of reflecting the psychological condition of the human body, such as a pulse signal, an electromyogram signal, an electroencephalogram signal, a blood oxygen signal, and the like. In a preferred embodiment, the first physiological signal is a heart rate signal. The signal may be acquired by contact and/or non-contact sensors.

And S2, judging whether the plurality of psychological states are abnormal or not according to the first physiological signal. Step S3 is executed when there is an abnormal psychological state; when all psychological states are normal, prompt information or reports and the like can be generated to prompt the user that the psychological condition is good and training is not needed.

The mental state may include some or all of neural balance, mood, mental stress, physical fatigue, ability to adapt.

Whether the psychological states are normal or not and the degree of abnormality can be calculated according to the physiological signals. There are many specific algorithms, and in a preferred embodiment, the abnormal degree of each psychological state is obtained according to the information analysis of the Heart Rate Variability (HRV).

In this embodiment, the R-R interval in the heart rate signal is used as the basis for the analysis of HRV information. Obtaining standard deviation SDNN of R-R interval of sinus cardiac rhythm and root mean square RMSS of difference value of adjacent R-R interval through time domain analysis by R-R interval and heart rate sampling frequency; by performing frequency domain analysis on the R-R interval, low frequency power LF, high frequency power HF, total power TP and the ratio of low frequency power to high frequency power LF/HF can be obtained.

And obtaining power spectrum density and frequency through the specific numerical value and sampling rate of the R-R interval, and obtaining an LF value, an HF value and a TP value through the power spectrum density and frequency. The LF value is a low-frequency part of 0.04-0.14Hz on the power spectrum density, a plurality of power values of 0.04-0.14Hz on the power spectrum density are obtained according to a preset data length, the obtained plurality of powers are summed, and then the sum is multiplied by a preset coefficient to obtain the LF value. The HF value is a high-frequency part of 0.15-0.4Hz on the power spectral density, a plurality of power values of 0.15-0.4Hz on the power spectral density are obtained according to a preset data length, the obtained plurality of powers are summed, and then the sum is multiplied by a preset coefficient to obtain the HF value.

And the TP value is the total energy of 0-04Hz on the power spectrum density, a plurality of power values of 0-0.4Hz on the power spectrum density are obtained according to the preset data length, the obtained plurality of powers are summed, and then the sum is multiplied by a preset coefficient to obtain the TP value. The preset data lengths of the three parts can be the same or different.

After obtaining the psychological variability information, the abnormal degree of the neural equilibrium, the abnormal degree of the mental emotion, the abnormal degree of the mental stress, the abnormal degree of the physical fatigue and the abnormal degree of the adaptability of the user can be obtained according to the heart rate variability information.

Specifically, for example, quantified values of mood and nerve balance may be obtained from the ratio LF/HF of low frequency power to high frequency power; obtaining a quantized value of body fatigue according to the low-frequency power LF; obtaining a quantified value of the mental stress according to the high-frequency power HF; and obtaining a quantized value of the adaptation capability according to the total power, the standard deviation SDNN of the R-R interval of the sinus heartbeat and the root mean square RMSSD of the difference value of the adjacent R-R intervals.

As an example, if the LF/HF value is greater than the first preset value, a random number X1 of LF/HF value + α is generated, otherwise, the random number X1 is directly used as the LF/HF value; if the random number X1 is smaller than a second preset value, taking X1X a as a quantified value of the spirits; if the random number X1 is greater than the third preset value, X1 × b + c is taken as a quantified value of the emotion, and if the value of the random number X1 is between the second preset value and the third preset value, d × X1 × e + f is taken as a quantified value of the emotion. Wherein alpha, a, b, c, d, e and f are constants.

Regarding physical fatigue, if the LF value is less than a fourth preset value, a random number X2 is generated, wherein the LF value is multiplied by β + γ; and if the LF value is larger than the fourth preset value and smaller than the fifth preset value, recording the LF value as a random number X2. Then judging a random number X2, and if g is less than or equal to X2 < h, taking j multiplied by X2-k as a quantified value of body energy; if m.ltoreq.X 2 < n, p.times.X 2-q is used as a quantified value of physical stamina, and if h.ltoreq.X 2 < m, r.times.X 2-s is used as a quantified value of physical stamina. Wherein, beta, gamma, g, h, j, k, m, n, p, q, h, m, r and s are constants, and g, h, m and n are increased in sequence.

The quantified value of the mental stress can be obtained by judging the LF value, and the specific judgment method can be referred to the above method for judging the quantified value of the fatigue state, wherein the generated random number, the compared preset value and the multiplied coefficient are adaptively adjusted according to the LF value.

The adjustment capability is comprehensively judged through the total power, the standard deviation SDNN of the R-R interval of the sinus heartbeat and the root mean square RMSSD of the difference value of the adjacent R-R intervals.

After the above values are obtained, the degree of abnormality can be determined based on the magnitude of the values. For example, in percent, the degree of abnormality in mental depression can be classified into three levels: the quantized values 20-30 are "light", the quantized values 10-20 are "medium", the quantized values 0-20 are "heavy", and the quantized values 30-70 are "healthy". Similarly, the level of mental anxiety can be divided into three levels: the quantization values 70-80 are "light", the quantization values 80-90 are "medium", and the quantization values 90-100 are "heavy".

Other mental state abnormality levels may refer to the above-described emotion level division method. For example, the abnormal level of physical fatigue may be classified as follows: a quantization value of 30-100 may be determined as "healthy", a quantization value of 20-30 may be determined as "light", a quantization value of 10-20 may be determined as "medium", and a quantization value of 0-10 may be determined as "heavy".

The abnormal level of mental stress may be classified as follows: a quantization value of 30-100 may be determined as "healthy", a quantization value of 20-30 may be determined as "light", a quantization value of 10-20 may be determined as "medium", and a quantization value of 0-10 may be determined as "heavy".

The abnormal level of adaptation capability may be divided as follows: a quantization value of 0-70 may be determined as "healthy", a quantization value of 70-80 may be determined as "light", a quantization value of 80-90 may be determined as "medium", and a quantization value of 90-100 may be determined as "heavy".

In the above example, the "light", "middle", and "heavy" are sequentially higher in the current level, and for example, the feeling of stress is stronger in the case where the level of the mental stress disorder is "heavy" than in the case where the level is "light".

As an alternative embodiment, a neural network classification model may also be used, the physiological signal of the user is used as input data of the model, and the output classification result is the level of the psychological state. Specifically, the classification result output by the model is vector data composed of a plurality of numerical values, wherein the numerical values are respectively used for representing a neural equilibrium abnormal level, a mental emotion abnormal level, a mental stress abnormal level, a physical fatigue abnormal level and an adaptability abnormal level.

S3, determining at least one psychometric training alternative (hereinafter referred to as "alternative") according to the various abnormal psychological states, wherein the alternative includes information for instructing the training device to perform a training action.

The respective alternatives can be determined separately for the various psychological states described above. Unlike the treatment regimen, the adjustment training regimen is used to guide the user to autonomously adjust the mental state, and the regimen needs to be performed by various training devices.

The training devices may comprise a variety of types, such as biofeedback devices, sound wave relaxation devices, breathing guidance devices, hypnosis devices, etc., which perform different training actions, and alternatively include content for instructing the various devices to perform the training actions.

This step may determine which device the user is adapted to use, for example, based on various abnormal psychological states of the user, and may further determine the training intensity adapted to the user based on the degree of abnormality. Thus, various information may be included in the alternative, such as various parameters including device type information, the number of times and length of time the device performs the training, etc.

As an example, for the five mental states listed above, they may be configured to correspond to different alternatives, i.e. each abnormal mental state corresponds to at least one mental adjustment training alternative. When the user is determined to have various abnormal psychological states, a plurality of alternatives are obtained in the step, and the contents in different alternatives can be the same or different, and even conflicts can exist.

S4, generating a psychometric training scheme according to the respective psychometric training alternatives, wherein the psychometric training scheme includes information for instructing the training device to perform a training action. When the user has only one abnormal mental state, the alternative is unique, and the content of the final mental adjustment training scheme and the alternative are completely the same. When the user has multiple abnormal psychological states, multiple alternatives exist, and a final training scheme needs to be generated in a coordinated manner according to specific contents in the alternatives, for example, information superposition, selection of conflict information, or consideration of processing and the like can be performed.

For example, the alternatives include training frequency information, when two states of the user, namely, mental stress and physical fatigue, are abnormal, the training frequency in the first alternative is 2, and the training frequency in the second alternative is 4, then the training frequency of the finally generated mental adjustment training scheme may be 4, that is, the highest training frequency is taken; the training times of the finally generated psychometric training scheme may also be 6, i.e. the times are superimposed.

According to the psychological adjustment training scheme generation method provided by the invention, firstly, physiological signals of a user are collected, whether various psychological states of the user are abnormal or not is objectively determined based on the physiological signals, namely, whether the various psychological states of the user are abnormal or not respectively exist in each psychological dimension, then, a set of training scheme which can be executed by the psychological adjustment training equipment is determined according to alternative adjustment training schemes corresponding to various abnormal psychological states, so that a psychological adjustment training scheme with stronger pertinence is generated by synthesizing various psychological states of the user, and the psychological health of the user is promoted under the condition that psychological experts are not needed to intervene.

As an optional embodiment, the alternatives include multiple types of training device type information, and the training device type information in the alternatives corresponding to various abnormal psychological states is the same. In a specific embodiment, all the alternatives include four types of device information, namely, a biofeedback device, a sound wave relaxation device, a breathing guidance device and a hypnosis device, so that the finally generated mental regulation training scheme necessarily includes the four types of information, and no matter which mental state of the user is abnormal, the user is instructed to perform mental regulation training by using the four types of training devices.

As an example, assuming that there are two types of training apparatuses, step S4 determines that the information in the training scheme is as shown in the following table:

the scheme indicates two training devices and further indicates which materials, times, frequencies and difficulties are used by various training devices to execute training actions. Therefore, a detailed and targeted training scheme is provided for the user, the adjustment effect of the psychological state is optimized, and the work efficiency is higher.

The total times of training in the table can be many times, and correspondingly, the difficulty information every time can be set to be different, for example, the training difficulty in front can be set to be easier and the training difficulty in back is gradually changed and difficult, the setting is to enable a user to adapt to the training process more quickly and easily, so that the ability of adjusting the psychological state is mastered more quickly, and the practicability and the efficiency of the method are improved.

In a preferred embodiment, in the step S2, the abnormal degree of the mental state is also determined, and for the same abnormal mental state, the alternatives corresponding to different abnormal degrees are different. As an example, the relationship between the psychological state and its degree of abnormality (grade) and alternatives is shown in the following table:

in the above example, combining the neural equilibrium and the emotional level as the same, the 4 kinds of mental states and the 3 abnormal levels can correspond to 12 alternatives. The contents of these 12 alternatives may be the same or different and there may even be conflicts.

For example, if a user is light in level of mental stress disorder and heavy in level of physical stamina disorder, two alternatives, namely, scheme 4 and scheme 9, are first determined. Since a unique psychometric training scheme is finally provided for the user, when contents in a plurality of schemes are different or conflict, the final training scheme is also generated according to specific contents and abnormal levels in various alternatives in a coordinated manner.

More specifically, when there are abnormalities in various psychological states of the user, the determined alternative training scheme may have the following condition:

two alternatives are shown, a first row alternative for a severe abnormality of neural equilibrium and a second row alternative for a mild abnormality of mental stress. In the final training scheme, parameters in the alternative with the abnormal grade of heavy can be directly adopted according to the times, the frequency and the difficulty, but for material information, the parameters in the two alternatives should be synthesized. For example, when the number of times of training is multiple, the material used each time can be set in the final training scheme so as to take account of the material a and the material b.

In one embodiment, training frequency information and/or training difficulty information is included in the alternatives. The training frequency includes, for example, the total number and the frequency of use (e.g., several times per week, several times per month). The training difficulty information is information indicating that training conditions, completion conditions, and the like can affect the training action process performed by the training apparatus, and may be used at least to indicate the duration of a single training session, for example.

When there are various abnormal psychological states of a certain user, the step S4 includes the steps of:

and S41A, determining the psychological state with the highest abnormal degree in the plurality of abnormal psychological states. Continuing the above example, for example, if a certain user has a low level of mental stress abnormality and a high level of physical energy abnormality, the user is determined to have the highest degree of physical energy abnormality.

And S42A, acquiring training frequency information and/or training difficulty information in the alternative scheme corresponding to the psychological state with the highest degree of abnormality. And acquiring training frequency information and/or training difficulty information in the scheme 9 corresponding to the body energy abnormity level as severe.

And S43A, generating a psychotropic training scheme, wherein the psychotropic training scheme comprises the training frequency information and/or the training difficulty information.

For example, the content in the scenario 4 includes the training number of times of 1, and the content in the scenario 9 includes the training number of times of 4, and since the abnormal level corresponding to the scenario 9 is heavy, the training number of times in the finally determined training scenario is 4. For example, the content in the scheme 4 includes that the training difficulty is a, the content in the scheme 9 includes that the training difficulty is C, and since the abnormality level corresponding to the scheme 9 is heavy, the training difficulty in the finally determined training scheme is C.

Further, the training difficulty information is configured in a preferred embodiment to correspond to one training difficulty per training. For example, the number of training times in the scheme 9 is 4, and the training difficulty information is 4, for example, the difficulty of the 1 st training is a, the difficulty of the 2 nd training is a, the difficulty of the 3 rd training is B, and the difficulty of the 4 th training is C.

Therefore, for the training frequency information and the training difficulty information, when the user is determined to have various psychological states, the alternative schemes are not overlapped, and the content in the final psychological adjustment training scheme is set according to the most serious level.

In one embodiment, training material information is included in the alternative, the training material referring to media content used by the training apparatus when performing the training action, such as a music genre, a video genre, a guidance language genre, etc., the training material information indicating which media content the training apparatus took. For example, for a device that guides a user to adjust mental states by playing video or animation, the material information is used to indicate which video or animation the device uses; for example, for an apparatus that guides a user to adjust the psychological state by playing music, the material information is used to indicate what genre of music the apparatus uses; for example, for a device that guides a user to adjust the psychological state by playing a guidance word, the material information is used to indicate the content of the guidance word, and so on.

S41B, training material information in the psychomotor training alternatives corresponding to the abnormal psychological states is obtained. Continuing the above example, for example, a user may have a low level of mental stress anomaly, corresponding to alternative 4, a high level of physical stamina anomaly, corresponding to alternative 9. The sound wave training device material information in case 4 instructs the device to use music of the "meditation and depression" type, and the sound wave training device material information in case 9 instructs the device to use music of the "happy and alive" type, in which step both pieces of training material information are acquired.

And S42B, generating a psychomotor training scheme, wherein training material information in the psychomotor training alternative scheme corresponding to various abnormal psychological states is considered. The phonographic training device material information in the finally generated psycho-dynamic training regimen instructs the device to perform the training action using both the "meditation bradycardia" and "happy activity" types of music.

There are various ways to achieve this, for example, it may be set similarly to the above difficulty information, specifically, it is assumed that the training number of times in the finally generated psychometric training scheme is 4, and the training material information therein is 2, for example, it indicates that the first material is used when performing the 1 st training, the second material is used when performing the 2 nd training, the first material is used when performing the 3 rd training, and the second material is used when performing the 4 th training, so that the training apparatus can use different materials alternately when performing the training actions for multiple times.

After the final psychometric training program is generated, a training action is performed by the training device according to the contents of the program. This step may be performed passively, i.e. in response to user actions to perform a training action. By way of example, the training program may be stored in the server and associated with user information, and the user submits a personal information (login) query training program through the training device, determines how the training device should perform the training action, e.g., how many times it should perform, parameters that should be used during the performance (e.g., audio and video material, training duration, training goals), etc., and then initiates the training action. This is performed by one or more training devices through which the user is guided to learn and master the ability to adjust his or her mental state.

As an alternative embodiment, the difference between the current and historical mental state information and the difference between the current and historical mental adjustment training schemes can be determined, and the current mental adjustment training scheme can be adjusted according to the difference.

As an example, assuming that the current mental state level of a user is { A1}, the historical mental state level is { A0}, if { A1} represents that the mental state of the user is better (positive change) compared with { A0}, the historical mental adjustment training scheme has better effect, in which case the current mental adjustment training scheme should be similar to the content thereof; if { A1} indicates that the user's mental state has not changed or even deteriorated compared to { A0}, it indicates that the historical psycho-adjustment training scheme is less effective, in which case a new training scheme different from its content should be provided.

The following describes the process of the training apparatus performing the training scheme. As a preferred embodiment, the training device acquires the physiological signals of the user in real time while performing the training action. Including for example heart rate, muscle power, respiratory rate, etc. The training devices are equipped with corresponding sensors, and the types of signals acquired by different types of training devices are different, for example, the physiological signals acquired by the biofeedback device include heart rate parameters, the physiological signals acquired by the breathing guidance device include breathing frequency, and the physiological signals acquired by the sound wave relaxation device include myoelectric parameters. For distinguishing from the physiological signal acquired by the user terminal, the physiological signal acquired by the training device is referred to herein as a second physiological signal.

In a preferred embodiment, the training device collects a second physiological signal of the user during the execution of the psychometric training regimen, determines a target parameter according to the second physiological signal, and controls the execution of the training action according to the relationship between the second physiological signal and the target parameter over a period of time.

For example, the psychometric training scheme includes training difficulty information, and the training device may determine a coefficient according to the training difficulty information and determine a target parameter according to the second physiological signal and the coefficient.

Further, the training device adjusts the coefficient according to a relationship between the second physiological signal and the target parameter over a period of time.

As an example, the process of executing the training regimen may be divided into three phases (three time periods), where the first phase collects the second physiological signal of the user, and no action is performed to guide the psychological adjustment, but collects the current physiological signal of the user to provide basic information for the subsequent adjustment execution process. The training device 13 may determine the duration of the first stage according to the level of the psychological state. For example, a level "light" acquisition duration may be 3min, a level "medium" acquisition duration may be 3min, and a level "heavy" acquisition duration may be 5 min.

The training device calculates the average value of the physiological signal in the first phase as a physiological signal base value. Because different psychological state grades correspond to different adjustment coefficients, a training target value (target parameter) can be determined according to the grades, namely the training target value is obtained by adjusting the physiological signal basic value by using the adjustment coefficients.

In order to ensure the training effect, the training target value can be set to be lower than the basic value, so that the user can relax the body and mind in the training process and master the method for autonomously reducing the physiological parameters. Taking heart rate as an example, if the base value is 80 times/min, the target value can be adjusted to 70-75 times/min. For example, when the psychological state level is "light", the adjustment factor may be 0.95-0.9; when the psychological state grade is 'middle', the adjusting coefficient can be 0.92-0.85; the adjustment factor may be 0.9-0.8 when the mental state level is "heavy". The more serious the psychological state grade is, the lower the corresponding adjustment coefficient is, so that the larger the difference between the basic value and the target value is, the greater the difficulty that the user wants to reduce the heart rate of the user to make the heart rate reach the target value is. Conversely, the closer the training target value is to the base value, the lower the training difficulty, and the more suitable it is for the user with a lighter state.

The second stage is a guiding stage, and the training device plays video or audio and other materials to guide the user to adjust the state of the user so as to change the physiological signals. In the second phase the training device 13 will continuously monitor the physiological signal of the user and determine its relation to the target value, thereby controlling the process of the guiding operation.

The control methods executed by different types of training equipment are different, and the biofeedback training equipment is taken as an example for explanation, the biofeedback training equipment is provided with a display component, animation or video or virtual game scenes are displayed through the display component to improve the psychological state of a viewer, and the animation and the video or virtual game scenes are changed according to scenes corresponding to the second physiological information state. For example, when the heart rate is too high, the video/game is a scene which makes people feel worse, when the heart rate reaches a preset target, the video/game is a scene which makes people feel better, namely, as training progresses, the scene is controlled to be changed from worse to better through the second physiological signal, and the method and the used materials are contents which can influence the psychological state of the human body through psychological theory verification.

The training scheme suitable for the biofeedback training device may include the following information: training number information, i.e., the number of times the user should use the device; training time information, i.e., the playing time (video length or playing speed) of a video or game scene and training interval time information; the biofeedback training equipment can be used for pre-storing a plurality of video contents or game contents in the video material information or game scene information, namely specific contents of the video/game scene, and one of the video contents can be selected according to the video material information or the game scene information.

The specific control method of the biofeedback training equipment is as follows:

S1A, performing a guiding operation and comparing the physiological signal with the target parameter at a first preset time interval, wherein the physiological signal is a heart rate. Namely, the video is played to guide the user to adjust the psychological state and simultaneously monitor the heart rate signal, if the number of the physiological signals is less than or equal to the target parameter, the step S1A is continuously executed, otherwise, the step S2A is executed.

And S2A, pausing the execution of the guide operation, counting and judging whether the pause time length exceeds the set time length, if not, executing a step S3A, otherwise, executing a step S4A. At this time, a guidance language can be played to prompt the user about the current situation so as to guide the user to adjust the psychological state.

S3A, comparing the physiological signal with the target parameter at a second preset time interval during the pause process, if the number of the physiological signals is larger than the target parameter, continuously executing the steps S2A-S3A, otherwise, returning to the step S1A. Wherein the second predetermined time interval is less than the first predetermined time interval.

S4A, adjusting the coefficients to change the target parameters, and then returning to step S1A.

The third phase is a maintenance phase, in which the physiological signals are continuously collected but the comparison control is not performed any more, and the training is finished after the guiding action is continuously performed for a period of time.

In a specific embodiment, the biofeedback training equipment collects the heart rate basic value of the user, and obtains the heart rate state grade of the user, wherein the light collecting time length of the grade is 3min, the medium collecting time length of the grade is 3min, and the heavy collecting time length of the grade is 5 min; meanwhile, a guide word can be played, for example, the user can be prompted to start training immediately, and the training process and the attention matters in the training process can be explained.

After the basic values are collected, the training target value can be obtained according to the psychological state of the user, for example, the level "light" can be multiplied by 0.95 on the basis of the basic values, the level "medium" can be multiplied by 0.92 on the basis of the basic values, and the level "heavy" can be multiplied by 0.9 on the basis of the basic values, so that the training target value corresponding to the psychological state of the user is obtained.

And after the training target value is obtained, the guide words are played to prompt the user to start training, and the training materials, namely the video materials/game scenes, are played. At the moment, collecting a first physiological parameter, namely a heart rate parameter in real time, comparing a real-time collection value with a training target value, if the real-time collection value is smaller than or equal to the target value, continuously playing/continuously advancing a video scene, and collecting a modulation value and the training target value in real time again after a preset time interval of 20s for example;

if the real-time acquisition value is larger than the training target value, video pause/game scene switching is carried out, a guiding language is played, the user is prompted to not reach the training target, the user is guided to relax, and the real-time acquisition value and the training target value are compared once at regular time intervals, such as 3 s;

counting the pause time of the video, if the pause time exceeds a certain time, such as 30s, then adjusting the training target value, for example, multiplying the original grade as light by 0.95 on the basis of the basic value, continuing playing the video, judging the real-time acquisition value and the adjusted training target value, if the real-time acquisition value is less than or equal to the adjusted training target value, continuing playing the video, adjusting the training target value to the initial training target value, if the real-time acquisition value is greater than the training target value, pausing playing the video, and continuously comparing the adjusted training target value and the real-time acquisition value until the real-time acquisition value is less than or equal to the adjusted training target value, continuing playing the video, or until the training is finished.

If the heart rate signal of the user is not acquired in the training process, the guide words are played to prompt the user to correctly wear the physiological sensor.

The specific control method of the breathing guidance device is as follows:

S1B, executing a guiding operation and comparing the physiological signal with the target parameter at a first preset time interval, wherein the physiological signal is the breathing frequency. If the number of physiological signals is less than or equal to the target parameter, step S1B is continuously executed, otherwise step S2B is executed.

S2B, the guiding operation is suspended, and a guiding word can be played to prompt the user about the current situation to guide the user to adjust the breathing state.

S3B, comparing the physiological signal with the target parameter at a second preset time interval during the pause process, if the number of the physiological signals is larger than the target parameter, continuously executing the steps S2B-S3B, otherwise, returning to the step S1B. Wherein the second predetermined time interval is less than the first predetermined time interval.

And a third stage of maintaining the physiological signal acquisition stage, wherein the physiological signal acquisition stage continues to acquire the physiological signal without performing the comparison control, and the training is ended after the guiding action is continuously performed for a period of time.

In a specific embodiment, the breathing guidance device collects a basic value of the breathing rate of the user, which may be referred to as the collection logic of the basic value of the heart rate in the above embodiment. And determining a training target value according to the basic value and the psychological state information of the user.

After the training target value corresponding to the psychological state of the user is obtained, the breathing of the user may be trained with reference to the training logic of the video apparatus in the above embodiment. The training logic of the respiratory training device and the video training device is similar, except that the respiratory training device does not modify the target parameter. The played video and the guide words can be adaptively adjusted according to different training projects of various devices.

The specific control method of the audio device is as follows:

S1C, executing a guiding operation for a period of time, namely playing music to guide a user to adjust the psychological state, and collecting a physiological signal which is a myoelectric signal at the moment.

And S2C, continuously executing guiding operation and comparing the physiological signals with the target parameters at a first preset time interval, namely playing music to guide the user to adjust the psychological state and simultaneously collecting the electromyographic signals. The difference between the audio and video guiding operations is mainly that the video is a complete piece of content, the situation that the playing is finished and the audio is switched does not exist in the guiding process, and the audio is multiple, and the next piece of music needs to be switched after the playing is finished. Step S2C is performed if the number of physiological signals is less than or equal to the target parameter, otherwise step S3C is performed.

S3C, switching to another audio segment, and counting whether the switching reaches the set times, if not, executing step S2C, otherwise, executing step S4C. At this time, a guidance language can be played to prompt the user about the current situation so as to guide the user to adjust the psychological state.

S4C, adjusting the coefficients to change the target parameters, and then returning to step S2C.

And a maintenance stage in the third stage, wherein the physiological signals are continuously acquired but the comparison control is not performed, and the training is finished after the guiding action is continuously performed for a period of time.

In a specific embodiment, the audio device first collects the base value of the myoelectricity of the user, which may be referred to as the collection logic of the heart rate base value in the above embodiment.

And after the training target value is obtained, playing a guide word to prompt the user to start training and playing training music. Since a process is required for human relaxation, the average value of the myoelectric values collected for a certain period of time is compared with a training target value, and for example, the myoelectric values collected for the first three minutes of music playing may be averaged.

And if the average value is less than or equal to the training target value, continuing playing the music until the current music is played and switching to the next music. In this embodiment, the myoelectric average value of the first three minutes of each piece of music may be respectively compared with a training target value, if the average value is greater than the training target value, the music is switched, and a guide word is played to prompt the user to relax, if the music switching caused by the average value being greater than the training target value exceeds a preset number, for example, two, the training target value is adjusted upward, the original level "light" may be multiplied by 0.95 on the basis of the basic value, the level "medium" may be multiplied by 0.92X on the basis of the basic value, and the level "heavy" may be multiplied by medium 0.9 on the basis of the basic value, and the adjustment is: the level "light" may be multiplied by 0.98 on the basis of the basic value, the level "medium" may be multiplied by 0.96 on the basis of the basic value, and the level "heavy" may be multiplied by medium 0.95 on the basis of the basic value, and the music is continuously played.

If the average value is less than or equal to the adjusted training target value and the music can be completely played, the target value is adjusted to the initial training target value. If the average value is larger than the adjusted training target value, the adjusted training target value is used as the training target value to be compared with the average value until the average value is smaller than or equal to the adjusted training target value, and the music can be played completely or the training is finished.

The training device may perform the training action indicated by the adjustment training scheme without performing the control flow described above. For example, the training device is a hypnosis device, the hypnosis training device can collect electroencephalogram signals, play hypnosis music and guidance words, guide a user to sleep, determine the hypnosis duration according to the psychological state of the user, and play awakening guidance words after the set duration is reached. Therefore, operations such as target value determination, pause and the like are not required during the hypnotic training.

The various durations and coefficients are all related to the difficulty information in the conditional training scheme, that is, the training difficulty information in the training scheme sent by the server 12 may be used by the training device to determine the durations and coefficients of the three phases.

In practical application, a user uses the system for psychological guidance training for many times, so that the psychological health examination similar to physical examination is realized. When a user uses the system for the first time, because no relevant record exists before, the mental adjustment training scheme can be determined according to the mode in the embodiment, and when the user continues to use the method later, the current scheme can be determined by combining the mental adjustment training schemes which are used for one time or more times before. Specifically, the server 12 may determine a current mental state according to the current mental state, and then obtain historical mental state information and historical mental state information of the user, which are information obtained when the user uses the system before, and may be stored in the terminal or the server.

The embodiment of the invention also provides a psychological adjustment training system which comprises a data processing system and at least one training device. Wherein the data processing system is adapted to perform the above steps S1-S4 and the training apparatus is adapted to perform a psychometric training regimen.

As an alternative embodiment, as shown in fig. 2, the psychomotor training system includes a terminal 11, a server 12, and a training device 13. Wherein the terminal 11 is adapted to perform the steps S1-S2 and the server is adapted to perform the steps S3-S4. The terminal 11 is preferably a portable tablet computer and is equipped with contact and/or contactless heart rate and blood oxygen sensors.

In a preferred embodiment, the terminal 11 is further configured to provide a mental assessment scale, receive a filling result of the user on the scale, and perform operations such as determining individual risk factors of the user and their relationship with the mental state based on the filling result.

The psychological assessment scale is used for determining a numerical value according to psychological theory and psychological characteristics and behaviors such as the ability, personality, psychological health and the like of people. The psychological assessment scale includes a plurality of questions and several corresponding optional answers, for example, the question is "i fall asleep easily and sleep well", the corresponding answer is "none, sometimes, often, continuously", and the user can select one answer among the 4 answers which matches his/her own condition.

At least some of the questions in the mental assessment scale are configured to correspond to a number of first risk factors, and each of the first risk factors corresponds to a group mental state aid adjustment scheme (hereinafter referred to as a group aid scheme). For example, question 1 … i corresponds to a first risk factor a, which corresponds to community assistance scheme a; the question i +1 … i + n corresponds to another first risk factor B, which corresponds to a community assistance scheme B, wherein the content of the community assistance scheme a and the community assistance scheme B may be the same or different.

The specific content of the first risk factors and the corresponding problems are related, for example, one first risk factor is an "economic factor", and the corresponding problem reflects the psychological problem caused by economic conditions.

The specific content of the community assistance scheme is related to the specific content of the first risk factor, for example, one first risk factor is "economic factor", and the corresponding community assistance scheme is a recommendation for participating in the community activities for establishing the correct value view.

The terminal 11 converts the filling result of the user on the scale into a numerical value (score) in a set quantification mode, and then determines the risk degree presented by the user on each first risk factor according to the numerical value. For example, the answer of the user to the question 1 … i is quantized to X, and the relationship between X and the set threshold is determined, so as to determine the risk degree of the user on the first risk factor a, which may be specifically classified as "normal", "light risk", "moderate risk" and "severe risk", and the meaning of these degrees is similar to the meaning of the above-mentioned psychological state grade, and will not be described herein again.

After determining the risk levels exhibited by the first risk factors, for the individual user, the risk levels of the respective first risk factors may be correlated with the mental states and levels to generate a mental analysis report for the individual user. For example, the mental state of a certain user is determined as physical fatigue and mental stress in abnormal states (determined by the first physiological signal); meanwhile, the risk degree (determined by the quantitative change filling result) of the first risk factor is determined as that the social factor and the campus relationship are in an abnormal state, and then a report generated after the correlation prompts the user that the reason causing physical fatigue and high mental stress is the social factor and the campus relationship, namely the first risk factor is used as the reason of the abnormal psychological state.

Another part of the questions in the psychological assessment scale are configured to correspond to a plurality of second risk factors, and the terminal 11 will determine whether the user needs to receive psychological consultation according to the risk degree of the second risk factors, as a supplement or an aid to the psychological state assessment result from the psychological perspective.

The specific content of the second risk factor is relevant to its corresponding problem, but the specific content of the second risk factor is different from the first risk factor.

Similarly to the risk degree determination manner of the first risk factor, the terminal 11 converts the question and answer results for the second risk factors into numerical values (scores) in a set quantitative manner, and then determines the risk degree presented by the user on each second risk factor according to the numerical values. The degree can be specifically classified as "normal", "mild sub-healthy", "moderate sub-healthy" and "severe sub-healthy", and the meaning of these degrees is similar to the above-mentioned psychological state grade meaning, and will not be described herein again.

For the individual user, after determining the risk degree presented by the second risk factor, the psychological analysis report for the individual user may prompt the user to suggest a psychological consultation, which is different from the above-mentioned psychological adjustment training scheme, and the psychological consultation herein refers to a process of providing psychological assistance to a requester who has a problem in psychological adaptation and seeks to solve the problem by applying a psychological method by a psychologist.

The contents of the scale, the first factor, the second factor, the group assistance scheme, and the like can be set according to different people, and are different for minors, military police personnel, official survey personnel, comprehensive treatment personnel, and social personnel.

As a specific example, a suitable underage scale is provided, for example for underage characteristics, and the following 13 first risk class factors are selected: learning factors, family environment, physical and mental health, education and nourishment modes, interpersonal relationship, social factors, legal consciousness, deficiency and honor-mental tendency, curiosity tendency, victory-mental tendency, emotional stability, punishment and loss, and 6 second risk factors: adaptability, obsessive-compulsive, depression, anxiety, paranoia, enemy, etc. For the individuals with severe abnormality in the conclusion of the last 6 factors, the reason of the psychological abnormality can be found by the first 13 factors, and besides the training of relying on the training equipment, the psychological counseling can be pertinently suggested to the individuals.

Further, the server 12 will count the above evaluation results of a plurality of users, and generate a psychological analysis report for the group based on the evaluation results. Specifically, the server 12 will count the risk degree of the first risk factor of the user, and when the risk degree of a certain first risk factor of the user exceeds a certain proportion and belongs to an abnormality (including mild, moderate and moderate), will present prompt information in a psychological analysis report for the community, and suggest that the community executes a community assistance scheme for the first risk factor.

The first risk factors are also configured to correspond to several group risk factors, a plurality of which simultaneously correspond to a certain group risk factor. For example, learning factors, home environment, physical and mental health, punishment, and loss of these 5 first risk factors correspond to a group risk factor of "stability"; the 6 first risk factors of social factors, legal consciousness, insufficient honor tendency, curiosity tendency, victory tendency and emotional stability correspond to a group risk factor of 'safety'; the 2 first risk factors of education, interpersonal relationship correspond to a team risk factor of "fitness", and so on.

The server 12 will determine whether the above-mentioned group risk factor is present based on the degree of abnormality of the first risk factors of the plurality of users. Specifically, the server 12 will count the risk degree of the first risk factor of the user, and when the risk degree of a certain first risk factor of the user exceeds a certain proportion and is abnormal (including mild, moderate and moderate), assuming that the first risk factor corresponds to the "group risk factor a", a prompt message will be presented in the psychological analysis report for the group, prompting the group risk factor a of the group to have a higher risk.

As a specific example, a unit participating in the above evaluation has a total of 2000 people, wherein 35% (700 people) of "learning factors" are concluded as mild/moderate/severe, i.e. it is indicated that there is a higher risk in the group stability (group risk factor) of the unit, and it needs to be solved accordingly: the team is suggested to execute a group auxiliary scheme with the main topic of thinking and concentration, so that the adverse effect caused by the first risk factor is avoided from the perspective of group management.

As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.

The present invention has been described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

It should be understood that the above examples are only for clarity of illustration and are not intended to limit the embodiments. Other variations and modifications will be apparent to persons skilled in the art in light of the above description. And are neither required nor exhaustive of all embodiments. And obvious variations or modifications derived therefrom are intended to be within the scope of the invention.

Claims

1. A psychomotor training scenario generation apparatus, comprising: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the one processor to cause the at least one processor to perform operations comprising:

collecting a first physiological signal of a user;

judging whether various psychological states are abnormal or not according to the first physiological signal, and respectively determining the abnormal degree of the abnormal psychological states;

when abnormal psychological states exist, determining at least one psychological adjustment training alternative according to the various abnormal psychological states, wherein the psychological adjustment training alternative comprises information for instructing a training device to execute a training action, training frequency information and/or training difficulty information, the training difficulty information is used for indicating information capable of influencing the training action execution process of the training device, and specifically is used for instructing the training device to determine the duration of executing the training action and a coefficient for indicating a target physiological parameter;

each abnormal psychological state corresponds to a psychological adjustment training alternative scheme respectively, and for the same abnormal psychological state, the psychological adjustment training alternative schemes corresponding to different abnormal degrees are different;

the alternative scheme of the mental adjustment training also comprises training material information, in particular to media contents used by training equipment when the training equipment executes a training action, wherein the media contents comprise a music type, a video type and a guide language type;

determining a psychological state with the highest degree of abnormality in multiple abnormal psychological states, acquiring training frequency information and/or training difficulty information in a psychological adjustment training alternative scheme corresponding to the psychological state with the highest degree of abnormality, and generating a psychological adjustment training scheme, wherein the training frequency information, the training difficulty information and training material information are included, and when multiple abnormal psychological states exist, training material information in the psychological adjustment training alternative scheme corresponding to each abnormal psychological state is acquired respectively; training material information in a psychological adjustment training alternative scheme corresponding to various abnormal psychological states in the psychological adjustment training scheme is generated, so that the training equipment can alternately use different materials when training actions are executed for multiple times.

2. The apparatus of claim 1, wherein the mental states include neural balance, mental mood, mental stress, physical fatigue, and ability to adapt.

3. The apparatus of claim 1, wherein the mental adjustment training alternative comprises a plurality of types of training apparatus information, and the plurality of types of training apparatus information in the mental adjustment training alternative corresponding to various abnormal mental states are the same.

4. The device of any one of claims 1-3, wherein the first physiological signal includes a heart rate signal and a blood oxygen signal.

5. The apparatus according to any one of claims 1-3, wherein determining whether a plurality of psychological states are abnormal according to the first physiological signal comprises: