CN106267514B - Feeling control system based on brain electricity feedback - Google Patents

Abstract

The invention discloses an emotion regulation system based on EEG feedback, comprising an information acquisition module, a signal processing control module, a feedback module, a human-machine interface module, an evaluation module and a data management module. The present invention relates to the fields of emotion regulation and electrophysiology, and uses EEG biofeedback technology to train emotion regulation ability; because the brain has plasticity, EEG can reflect transient changes of large activities, and the present invention uses biofeedback technology to adjust the brain's emotion Ability training can achieve the purpose of improving the subject's ability to regulate emotions. Using this EEG biofeedback system can effectively improve people's ability to regulate negative emotions.

Description

Emotional regulation system based on EEG feedback

technical field

The invention relates to a health management device, in particular to an emotion intervention and training device, which is applied to the fields of life and health device technology, emotion regulation technology and electrophysiology technology.

Background technique

Emotion is a rapidly changing psychological and physiological phenomenon, which reflects the adaptation mode adopted by the body to the changing environment, and is the attitude experience and behavioral response to objective things. With the occurrence of emotions, the individual's physical, psychological experience and external behavior will have corresponding changes. Emotional regulation is the way to regulate an individual's internal experience, physiological response, and behavioral performance according to external stimuli. Emotion regulation is an important cognitive function for human beings to adapt to the environment, and good emotional regulation is an important sign of a person's mental health. If there is a problem with emotional regulation, it is easy to cause mental illnesses such as depression and anxiety. Therefore, the intervention of emotion regulation and the training of ability are particularly important.

Current interventions/trainings are mainly based on behavioral approaches, with the emotional and interpersonal aspects of mental health education available. The study found that the process of emotion regulation will stimulate the activity of the prefrontal cortex and reduce the activity of the amygdala, and the process of emotion regulation and control is observable and intervenable. With the development of biofeedback technology, training for emotion regulation becomes possible. In the past two years, there have been studies using real-time functional magnetic resonance imaging (fMRI) feedback technology for emotional regulation training. The subjects completed the regulation process by intuitively observing their own brain activity, which effectively verified the feasibility of the system. However, feedback experiments based on fMRI are expensive; at the same time, as a dynamic process, the time-varying characteristics of emotion regulation are at the millisecond level, and the feedback system using fMRI has low real-time performance, which affects the regulation efficiency.

SUMMARY OF THE INVENTION

In order to solve the problems of the prior art, the purpose of the present invention is to overcome the deficiencies of the prior art, and to provide an emotion regulation system based on EEG feedback. It makes up for the insufficiency of the fMRI feedback system, and at the same time can simply and efficiently feed back the current brain electrical activity to the trainer, thereby improving the efficiency of feedback and reducing the cost of the system. The emotion regulation system of the present invention enables users to conveniently regulate emotions, and finally achieves the purpose of ability training, and is a new type of emotion regulation system.

In order to achieve the above-mentioned purpose of invention and creation, the present invention adopts the following inventive concept:

The invention is based on the electroencephalogram biofeedback technology, which uses the electroencephalogram signal analysis to train the subjects in emotion regulation. The system firstly determines the subject's emotional regulation process by detecting the relative power changes of brain waves during the presentation of negative emotion pictures, and uses the relative power value at this moment as a feedback index to add noise to the pictures, and completes the process of adding noise to the subjects. The feedback of the test regulation results was repeated to achieve the purpose of emotional regulation ability training. Finally, the time when the subjects completed emotional regulation was used to evaluate the subjects' current emotional regulation ability.

According to the above-mentioned inventive concept, the present invention adopts the following technical solutions:

An emotion regulation system based on EEG feedback includes an information acquisition module, a signal processing control module, a feedback module, a human-machine interface module, an evaluation module and a data management module. The system includes two types of users: administrators and subjects. With different permissions, the human-machine interface module includes the function of setting communication parameters, the display function of emotional stimulation using pictures, sound or video, and the display function of brain electrical activity characteristics. The function of communication parameter setting realizes the setting of connection parameters between the information acquisition module and the server. , only allows administrators to operate, the EEG activity characteristic display function displays the characteristics of the subject's brain activity, and uses the emotional stimuli of pictures, sounds or videos to present to the subject as the subject's cognitive target, for the brain The electrical activity characteristic display function module, according to the signal processing control module, calculates the EEG characteristics, and displays them in the form of bar chart and EEG topographic map. This function is only used by administrators, and the information collection module adopts the server-client method. The communication method uses the EEG signal acquisition system as the server and the PC as the client to read the EEG signal data. The EEG signal acquisition system sets the control signal connection through the communication parameters of the human-machine interface module to start the real-time acquisition of the brain. For electrical signals, the signal processing control module receives the output data of the information acquisition module and preprocesses it, calculates the characteristics of the brain waves to set the feedback threshold and the index of emotion regulation, and outputs it to the data management module. By comparing the emotion regulation index and the threshold to determine the control feedback module; after the feedback module receives the noise addition command from the signal processing control module, it adopts the method of adding noise to the emotional stimulation displayed by the human-machine interface module, and outputs the emotional stimulation feedback with the added noise to the human-machine interface module. , so that the subjects receive the information output by the feedback module to realize emotional regulation training. After the feedback module receives the signal processing control module's instruction to stop adding noise, it stops adding noise; Carry out valence evaluation and arousal evaluation, and output the evaluation results to the data management module; the data management module is responsible for the recording, storage and output of data during program operation, including recording feedback signals generated by the signal processing control module, emotional stimulation presentation time, emotional stimulation Record and save the data at the time of adding noise and the moment when the emotional stimulation stops adding noise, and managers can print out the saved data.

As a preferred technical solution, the emotional stimuli displayed and output by the emotional stimuli display function of pictures, sounds or videos of the human-machine interface module are emotional stimuli pictures.

As a further preferred technical solution of the above solution, the signal processing control module first determines the initial threshold of the EEG characteristics of the subject according to the EEG characteristics before being stimulated, and then regulates the emotions of the subject when the subject is stimulated when performing emotion regulation. The EEG feature data is compared with the initial threshold of EEG features to determine whether to control the feedback module for subsequent feedback.

As a further preferred technical solution of the above scheme, in the signal processing control module, if the EEG characteristic value is higher than 30% of the initial threshold, a noise addition command is sent to the feedback module, and if it is lower than 90% of the initial threshold, the feedback is sent to the feedback module. The module sends an instruction to stop adding noise.

As a further preferred technical solution of the above scheme, in the feedback module, after receiving the noise-adding instruction from the signal processing control module, the picture is added with noise, so that the subjects receive the information output by the feedback module, and the emotion regulation training is realized. After receiving the instruction to stop adding noise, it stops adding noise and the feedback ends. The feedback module provides information feedback to the subjects by adding noise to make them perceive the current state of emotional regulation. When receiving the signal processing control module's instruction to stop adding noise, it stops adding noise to emotions and informs the subjects of their emotions. The control process ends.

Compared with the prior art, the present invention has the following obvious outstanding substantive features and significant advantages:

1. The present invention is based on the EEG feedback emotion regulation system, which has the characteristics of low cost and high time resolution;

2. The present invention uses EEG biofeedback technology for emotional regulation, and provides emotional state changes according to the results of real-time EEG feedback, so that users can easily regulate emotions, and finally achieve the purpose of ability training, which is a new type of emotional regulation. system;

3. The present invention displays feedback information by adding noise to the stimuli, maintains the subject's concentration, and minimizes interference other than stimuli;

4. The present invention relates to the field of emotion regulation and electrophysiology, and uses EEG biofeedback technology to train emotion regulation ability;

5. The brain has plasticity, and EEG can reflect the transient changes of large activities. The present invention uses biofeedback technology to train the brain's emotional regulation ability, which can achieve the purpose of improving the subject's emotional regulation ability. Using this EEG biofeedback The system can effectively improve people's ability to regulate negative emotions.

Description of drawings

FIG. 1 is a schematic structural diagram of an emotion regulation system based on EEG feedback according to a preferred embodiment of the present invention.

FIG. 2 is a flow chart of the initial evaluation of the preferred embodiment of the present invention.

FIG. 3 is a flow chart of the operation of the emotion regulation feedback according to the preferred embodiment of the present invention.

FIG. 4 is a flow chart of emotion regulation by the emotion regulation system according to the preferred embodiment of the present invention.

Detailed ways

Preferred embodiments of the present invention are described in detail as follows:

In this embodiment, referring to FIGS. 1 to 4 , an emotion regulation system based on EEG feedback is characterized in that: it includes an information acquisition module 1, a signal processing control module 2, a feedback module 3, a human-machine interface module 4, an evaluation module 1, and an evaluation module. Module 5 and data management module 6, the system includes two types of users, administrators and subjects, who have different permissions. The human-machine interface module 4 includes a communication connection parameter setting function, an emotional stimulation display function using pictures, sounds or videos, and a brain electrical activity characteristic display function. The communication parameter setting function realizes the setting of the connection parameters between the information acquisition module and the server. Only Allows administrators to operate and present emotional stimuli to subjects by using the emotional stimuli display function of pictures, sounds or videos, as the cognitive target of the subjects, for the EEG activity characteristic display function module, according to the signal processing control module 2 The EEG features are calculated and displayed in the form of a histogram and an EEG topographic map. This function is only available for administrators. The information acquisition module 1 adopts the server-client communication method, uses the EEG signal acquisition system as the server, and uses the PC as the client to read the EEG signal data, and the EEG signal acquisition system passes the communication parameters of the human-machine interface module 4. Set the control signal connection to start real-time acquisition of EEG signals, the signal processing control module 2 receives the data output by the information acquisition module 1 and preprocesses it, and calculates the characteristics of the brain waves to set the feedback threshold and the index of emotion regulation, and Output to the data management module 6. After the feedback module 3 receives the noise addition instruction from the signal processing control module 2, it adopts the method of adding noise to the emotional stimulation of the human-machine interface module 4, and outputs the emotional stimulation feedback with the noise added to the person. The computer interface module 4 enables the subjects to receive the information output by the feedback module 3 to realize emotional regulation training. After the feedback module receives the signal processing control module's instruction to stop adding noise, it stops adding noise, and the subjects pass the evaluation module 5. Emotional stimuli before and after emotional regulation are evaluated for valence and arousal, and the evaluation results are output to the data management module 6. The data management module 6 is responsible for the recording, preservation and output of data during program operation, including recording the feedback generated by the signal processing control module 2. Record and save the data at the time of presentation of signals, emotional stimuli, the moment when emotional stimuli add noise, and the moment when emotional stimuli stop adding noise. Managers can print out the saved data.

In this embodiment, referring to FIGS. 1 to 4 , the emotional stimulation display function of the man-machine interface module 4 using pictures, sounds or videos to display the output emotional stimulation is an emotional stimulation picture. The picture is from the Chinese Emotional Picture System compiled by the Key Laboratory of Mental Health, Chinese Academy of Sciences.

In this embodiment, referring to FIGS. 1 to 4 , the signal processing control module 2 first determines the initial threshold of the EEG characteristics of the subject according to the EEG characteristics of the subject before being stimulated, and then controls the subject’s EEG characteristics when performing emotion regulation. The EEG characteristic data during stimulation is compared with the initial threshold of the EEG characteristic to determine whether to control the feedback module 3 to perform subsequent feedback. In the signal processing control module 2, if the EEG feature value is higher than 30% of the initial threshold, send a noise adding instruction to the feedback module 3, and if it is lower than 90% of the initial threshold, send a stop noise adding command to the feedback module 3 .

In this embodiment, referring to Figures 1 to 4, in the feedback module 3, after receiving the noise-adding instruction from the signal processing control module 2, the picture is added with noise, so that the subject accepts the information output by the feedback module, Realize emotion regulation training. After receiving the instruction to stop adding noise, it stops adding noise and the feedback ends.

In this embodiment, referring to Figures 1 to 4, before entering the formal regulation, the user first performs "valence evaluation" and "arousal evaluation" on all stimulation pictures, which are divided into 5 grades, with a score of 1-5, and the system Record the score of each evaluation, as shown in Figure 2. After completing the evaluation of all the pictures, the user enters the emotional regulation part. The regulation flow of a single picture is shown in Figure 3. First, a blank picture with a "+" symbol is displayed in the center of the computer screen of the human-machine interface module 4 for 2 seconds. clock, the user is in a resting state at this time. Then the screen will display a negative picture, and the user will cognitively re-evaluate the picture to reduce the emotional response it brings. At this time, the system will determine whether to give feedback to the user according to the changes of the user's EEG. If feedback is given, it will display a negative picture with added noise. After the feedback is over, the computer pops up the pictures of "Evaluation of Valence" and "Evaluation of Arousal Degree" again, allowing users to evaluate the degree of arousal and valence of the pictures they saw before. After the evaluation is completed, the pictures disappear. Then proceed to the control of the next picture.

The main structure of the whole system is shown in Figure 1, and the specific feedback steps are shown in Figure 4:

The specific implementation of the feedback module is as follows:

Step 0: First, the signal processing control module calculates the theta relative power Eθ at the current moment, and the baseline theta relative power Ebase when the user is in a resting state;

Step 1: Compare the size of the two to decide whether to perform a feedback operation. If the difference between Eθ and Ebase is higher than 30% T1 of Ebase, go to step 2; otherwise, go to step 3;

Step 2: Add noise to the picture;

Step 3: Display the current picture;

Step 4: Calculate the Eθ at the current moment again by the signal processing control module;

Step 5: Compare Eθ and Ebase, if the difference between Eθ and Ebase is not less than 10% T2 of Ebase, go back to step 1; if the difference between Eθ and Ebase is less than 10% of Ebase, go to step 6;

Step 6: Ask the subjects to evaluate the arousal and valence of the picture.

In this embodiment, referring to FIG. 1 , the entire system includes an information acquisition module 1 , a signal processing control module 2 , a feedback module 3 , a human-machine interface module 4 , an evaluation module 5 and a data management module 6 . The user observes negative pictures through the man-machine interface module 4, thereby generating negative emotions, such as sadness, fear, etc.; through the evaluation module 5, the valence and arousal degree of the stimulation pictures are evaluated. The system collects the user's real-time EEG signal through the information acquisition module 1, and then preprocesses the EEG signal through the signal processing control module 2, and calculates the power of the specified frequency band as an index of emotional regulation. In the feedback module 3, the indicators calculated in the signal processing control module 2 are monitored, and when it exceeds a certain threshold, the system determines that the user performs emotional regulation, and feeds back the results to the user. Add noise to sexual images to make them less stimulating to the user. The design and function details of each module are as follows:

Information acquisition module 1: select the server/client communication method, the EEG signal acquisition system is used as the server to collect the EEG signals, and the PC is used as the client to read the EEG data.

Signal processing control module 2: It is mainly responsible for processing the data received by the client to extract feedback indicators. Specifically, it includes the preprocessing of the signal and the calculation of the power of the specified frequency band, and then the extracted parameters are used as the threshold of the baseline or the real-time data of the feedback stage to drive the feedback module.

Feedback module 3: According to the real-time data obtained by the signal processing control module and the set feedback threshold, the results are fed back to the subjects. In this system, the way of feedback is to add noise to the stimulus pictures according to the feedback threshold.

Human-machine interface module 4: including communication parameters, buttons, stimulation picture display and EEG spectrum display.

Evaluation module 5: It includes the valence evaluation and arousal evaluation of the stimulus pictures before and after the adjustment, and the evaluation results are saved to the data management module.

Data management module 6: Responsible for recording, saving and outputting data during program operation, including feedback indicators, image presentation time, image noise addition time, and image stop noise addition time. Managers can print the saved data. output.

This embodiment is applied to the fields of emotion regulation and electrophysiology, and the EEG biofeedback technology is used to train the emotion regulation ability. The brain has plasticity, and EEG can reflect the transient changes of large activities. In this embodiment, the brain's emotion regulation ability is trained through the biofeedback method, which can achieve the purpose of improving the subject's emotion regulation ability. Feedback systems can effectively improve people's ability to regulate negative emotions.

The embodiments of the present invention have been described above in conjunction with the accompanying drawings, but the present invention is not limited to the above-mentioned embodiments, and various changes can also be made according to the purpose of the invention and creation of the present invention. Changes, modifications, substitutions, combinations or simplifications should be equivalent substitution methods, as long as they meet the purpose of the present invention, as long as they do not deviate from the technical principles and inventive concepts of the EEG feedback-based emotion regulation system of the present invention, all belong to protection scope of the present invention.

Claims (5)

1. an emotion regulation system based on EEG feedback, is characterized in that: comprise signal acquisition module (1), signal processing control module (2), feedback module (3), man-machine interface module (4), evaluation module ( 5) and a data management module (6), the man-machine interface module (4) includes a communication connection parameter setting function, a display function of emotional stimulation using pictures, sounds or videos, and a display function of brain electrical activity characteristics, and the communication parameter setting function is realized The setting of the connection parameters between the information acquisition module and the server, using the emotional stimulation display function of pictures, sounds or videos to present emotional stimulation to the subject, as the cognitive target of the subject, and display the functional module for the characteristics of brain electrical activity , according to the signal processing control module (2) to calculate and obtain the EEG features, and display them in the form of a column chart and an EEG topographic map. The information acquisition module (1) adopts a server-client communication The signal acquisition system is used as the server, and the PC is used as the client to read the EEG signal data. The EEG signal acquisition system sets the control signal connection through the communication parameter of the man-machine interface module (4) to start the real-time acquisition of the EEG signal. The signal processing control module (2) receives and preprocesses the data output by the signal acquisition module (1), sets the feedback threshold and the index of emotion regulation by calculating the characteristics of brain waves, and outputs the data to the data The management module (6), after the feedback module (3) receives the noise adding instruction of the signal processing control module (2), adopts a method of adding noise to the emotional stimulation of the human-machine interface module (4), The emotional stimulation feedback with added noise is output to the man-machine interface module (4), so that the subject receives the information output by the feedback module (3), and the emotion regulation training is realized, and the feedback module receives the information of the signal processing control module. After the noise-adding instruction is stopped, the noise-adding is stopped, and the subject performs valence evaluation and arousal evaluation on the emotional stimulation before and after emotion regulation through the evaluation module (5), and the evaluation result is output to the data management module (6) , the data management module (6) is responsible for the recording, preservation and output of data during program operation, including recording the feedback signal generated by the signal processing control module (2), the moment of presentation of emotional stimulation, the moment of adding noise to emotional stimulation, and the moment of emotional stimulation Stop recording and saving the data at the time of adding noise, and managers can print out the saved data. 2. the emotion regulation system based on EEG feedback according to claim 1, is characterized in that: the emotional stimulus that the emotional stimulus display function of utilizing picture, sound or video of described man-machine interface module (4) to display output is emotional stimulus picture. 3. The emotion regulation system based on EEG feedback according to claim 1 or 2, wherein the signal processing control module (2) first determines its EEG feature according to the EEG feature of the subject before being stimulated and then compare the EEG characteristic data of the subject when stimulated with the initial threshold value of EEG characteristics during emotion regulation to determine whether to control the feedback module (3) to perform subsequent feedback. 4. The emotion regulation system based on EEG feedback according to claim 3, characterized in that: in the signal processing control module (2), if the EEG characteristic value is higher than 30% of the initial threshold, the feedback module (3) Send a noise adding instruction, if it is lower than 90% of the initial threshold, send a stop noise adding instruction to the feedback module (3). 5. The emotion regulation system based on EEG feedback according to claim 1 or 2, characterized in that: in the feedback module (3), after receiving the noise adding instruction of the signal processing control module (2) , then add noise to the picture, so that the subject can accept the information output by the feedback module, and realize emotional regulation training.