CN114081490A - System and method for mental state monitoring and treatment based on closed-loop feedback - Google Patents

System and method for mental state monitoring and treatment based on closed-loop feedback Download PDF

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CN114081490A
CN114081490A CN202111289061.0A CN202111289061A CN114081490A CN 114081490 A CN114081490 A CN 114081490A CN 202111289061 A CN202111289061 A CN 202111289061A CN 114081490 A CN114081490 A CN 114081490A
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CN114081490B (en
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胡斌
朱立贤
董群喜
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Beijing Institute of Technology BIT
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Abstract

The application is applicable to the field of biomedicine and provides a mental state monitoring and treatment system and method based on closed-loop feedback. The system comprises a main control device, an electroencephalogram signal acquisition module and a magnetic signal treatment module, firstly, the electroencephalogram signal acquisition module acquires electroencephalogram signals, a processor extracts, classifies and calculates the acquired electroencephalogram signals, a mental state is evaluated according to an emotion calculation model, a music treatment mode or a magnetic treatment mode is selected by the system or a user according to the evaluation result, the electroencephalogram signal acquisition module is controlled by the main control device to acquire the electroencephalogram signals in real time in the treatment process, and parameters are adjusted by the processor according to the electroencephalogram signals acquired in the treatment process. The system provided by the application integrates mental state monitoring, music therapy intervention and magnetic signal therapy intervention; the whole system is a closed-loop system, can monitor mental state in real time while treating, and adjusts intervention parameters in a feedback mode to achieve accurate treatment.

Description

System and method for mental state monitoring and treatment based on closed-loop feedback
Technical Field
The present application relates to the field of biomedicine, and more particularly to a system and method for mental state monitoring and treatment based on closed-loop feedback.
Background
The brain electrical signal is an important physiological parameter of human body, and is characterized by having higher time resolution. Electroencephalogram signals are one of the most important physiological signals for research in the field of brain science at present, and are widely applied to the field of diagnosis and treatment of mental diseases (such as depression), Alzheimer's disease, brain tumors and other diseases at present. Because the amplitude of the electroencephalogram signal is small and only has uV magnitude, the detection and signal processing become the current popular field. The prior art has a special device for detecting mental diseases by electroencephalogram acquisition.
At present, the treatment method of mental diseases mainly comprises drug treatment, physical treatment and psychological treatment, wherein the physical treatment is the most popular at present such as transcranial magnetic stimulation treatment, electroconvulsive therapy, acupuncture and moxibustion and the like, and the psychological treatment mainly comprises cognitive psychotherapy, behavior therapy and music therapy.
Transcranial magnetic stimulation therapy is a painless physical therapy method, and can achieve the effect of regulating mood by transmitting magnetic signals to penetrate through the skull, stimulate cerebral neurons, and excite or inhibit cerebral cortex functions. The prior art has special transcranial magnetic therapeutic apparatus for transcranial magnetic stimulation therapy.
Music therapy, formally called a discipline in the united states in 1944, is a young applied discipline, and relates to a large and complex discipline field, and a great deal of research shows that music can stimulate the central system of brain in charge of emotion to generate response so as to regulate and treat emotion.
However, the prior art device for mental disease detection and the mental disease treatment are separate and independent devices and have single functions. At present, the mainstream portable electroencephalogram acquisition equipment only has an electroencephalogram acquisition function, but does not have functions of emotion detection, mental assessment and the like; the medical transcranial magnetic stimulation therapeutic apparatus has two obvious defects, namely, low portability and difficult carrying, and does not integrate the functions of electroencephalogram acquisition, mental evaluation and the like, and in practical application, the detection and treatment of mental diseases can be completed only by two to three instruments; the mainstream music therapy equipment is bulky and is generally a chair massage type equipment. The treatment equipment has the common characteristics of simple treatment, incapability of detecting the intervention treatment effect in real time, incapability of accurately adjusting the intervention treatment parameters in time and capability of spending a great deal of energy on hospital evaluation for treatment results. In summary, the existing electroencephalogram detection, mental state assessment, physical and psychological treatment means and the like are single-soldier combat, a comprehensive system integrating monitoring and treatment is not formed, and the actual experience of a patient is poor.
Disclosure of Invention
The application aims to provide a mental state monitoring and treatment system and method based on closed-loop feedback, and aims to solve the problem that the mental state monitoring device and the mental disease treatment device in the prior art are separate and independent devices and are single in function.
In a first aspect, the application provides a mental state monitoring and treatment system based on closed-loop feedback, which comprises a main control device, an electroencephalogram signal acquisition module and a magnetic signal treatment module, wherein the electroencephalogram signal acquisition module and the magnetic signal treatment module are respectively connected with the main control device;
the main control device comprises a processor, and an input module, an output module, a storage module and a communication module which are respectively electrically connected with the processor;
the electroencephalogram signal acquisition module is used for measuring the potential difference between the action electrode and the reference electrode to obtain an electroencephalogram signal, and comprises a first microprocessor connected with a processor of the main control device, an analog-to-digital conversion module, a storage module and a communication module which are respectively electrically connected with the first microprocessor, and also comprises an action electrode and a reference electrode which are electrically connected with the analog-to-digital conversion module, wherein the action electrode and the reference electrode are arranged in an electrode cap;
the magnetic signal treatment module comprises a second microprocessor connected with the processor of the main control device, a power module electrically connected with the second microprocessor and a magnetic treatment coil electrically connected with the power module; the second microprocessor controls the power module to charge and discharge the magnetic therapy coil so as to generate a magnetic signal;
the system firstly acquires electroencephalogram signals through an electroencephalogram signal acquisition module, a processor extracts, classifies and calculates the acquired electroencephalogram signals, the mental state is evaluated according to an emotion calculation model, a music treatment mode or a magnetic treatment mode is selected by the system or a user according to the evaluation result, if the music treatment mode is selected, an output module is controlled to play corresponding treatment music, and if the magnetic treatment mode is selected, a magnetic signal treatment module is controlled to be started; in the treatment process, the electroencephalogram signal acquisition module is controlled by the main control device to acquire electroencephalogram signals in real time, and the processor adjusts the parameters of the music treatment mode or the magnetic treatment mode according to the electroencephalogram signals acquired in the treatment process.
In a second aspect, the present application provides a method for monitoring and treating mental states based on closed-loop feedback, wherein the method is implemented based on the system for monitoring and treating mental states based on closed-loop feedback, and the method includes the following steps:
s101, initializing a system;
s102, prompting selectable functions including a music treatment mode, a magnetic treatment mode and a mental state monitoring mode; if the music therapy mode is selected, executing S103, if the magnetic therapy mode is selected, executing S104, and if the mental state monitoring mode is selected, executing S105;
s103, collecting user information, selecting a music type, and playing music;
s104, collecting user information, starting a magnetic signal treatment module, selecting the intensity and treatment duration of a magnetic signal, and closing the magnetic signal treatment module after treatment is finished;
and S105, collecting user information, connecting the electroencephalogram signal collection module, controlling the electroencephalogram signal collection module to collect electroencephalogram signals, extracting, classifying and calculating the collected electroencephalogram signals, evaluating mental states according to the emotion calculation model, and selecting a music treatment mode or a magnetic treatment mode by a system or a user according to an evaluation result if feedback treatment is needed.
In the application, the mental state monitoring and treatment system based on closed-loop feedback comprises a main control device, an electroencephalogram signal acquisition module and a magnetic signal treatment module, wherein the electroencephalogram signal acquisition module and the magnetic signal treatment module are respectively connected with the main control device; in the treatment process, the electroencephalogram signal acquisition module is controlled by the main control device to acquire electroencephalogram signals in real time, and the processor adjusts the parameters of the music treatment mode or the magnetic treatment mode according to the electroencephalogram signals acquired in the treatment process. Namely, the system provided by the application integrates mental state monitoring, music therapy intervention and magnetic signal therapy intervention; the whole system is a closed-loop system, the mental state can be monitored in real time while treatment is carried out, and intervention parameters are adjusted in a feedback mode, so that accurate treatment is achieved; and because the processor of the main control device is an artificial intelligent chip and is also used for autonomously training the emotion calculation model and iterating and updating the emotion calculation model, the personalized treatment aiming at different crowds is achieved.
Drawings
Fig. 1 is a block diagram illustrating a detailed structure of a system for mental state monitoring and treatment based on closed-loop feedback according to an embodiment of the present application.
Fig. 2 is a flowchart of a method for closed-loop feedback-based mental state monitoring and treatment according to an embodiment of the present application.
Fig. 3 is a report of the probability of depression risk.
Detailed Description
In order to make the purpose, technical solution and beneficial effects of the present application more clear and more obvious, the present application is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
In order to explain the technical solution described in the present application, the following description will be given by way of specific examples.
Referring to fig. 1, a mental state monitoring and treatment system based on closed-loop feedback according to an embodiment of the present application includes a main control device 11, an electroencephalogram signal acquisition module 12 and a magnetic signal treatment module 13 respectively connected to the main control device 11, and the system further includes an electrode cap 14;
the main control device 11 comprises a processor 111, and an input module 112, an output module 113, a storage module 114 and a communication module 115 which are respectively electrically connected with the processor 111;
the electroencephalogram signal acquisition module 12 is used for measuring the potential difference between the action electrode and the reference electrode to obtain an electroencephalogram signal, and comprises a first microprocessor 121 connected with the processor 111 of the main control device 11, an analog-to-digital conversion module 122, a storage module 123 and a communication module 124 which are respectively electrically connected with the first microprocessor 121, and also comprises an action electrode and a reference electrode 125 which are electrically connected with the analog-to-digital conversion module 122, wherein the action electrode and the reference electrode 125 are arranged in the electrode cap 14; the connection between the first microprocessor 121 and the processor 111 of the main control device 11 may specifically be a data transmission line connection or a wired communication or wireless communication connection through a communication module;
the magnetic signal treatment module 13 comprises a second microprocessor 131 connected with the processor 111 of the main control device 11, a power module 132 electrically connected with the second microprocessor 131, and a magnetic treatment coil 133 electrically connected with the power module 132; the second microprocessor 131 controls the power module 132 to charge and discharge the magnetic therapy coil 133, thereby generating a magnetic signal. The magnetic signal passes through the skull to stimulate the brain neural network, so that the cerebral cortex reacts, the brain neural network structure is improved, and the purpose of treating the depression is achieved;
firstly, electroencephalogram signals are collected through an electroencephalogram signal collecting module 12, the collected electroencephalogram signals are extracted, classified and calculated through a processor 111, mental states are evaluated according to an emotion calculation model, a music treatment mode or a magnetic treatment mode is selected by a system or a user according to the evaluation result, if the music treatment mode is selected, the output module 113 is controlled to play corresponding treatment music, and if the magnetic treatment mode is selected, the magnetic signal treatment module 13 is controlled to be started; in the treatment process, the main control device 11 controls the electroencephalogram signal acquisition module 12 to acquire electroencephalogram signals in real time, and the processor 111 adjusts parameters of a music treatment mode or a magnetic treatment mode according to the electroencephalogram signals acquired in the treatment process, so that accurate personalized treatment is achieved.
For example, when a music treatment mode is selected, if a user hears treatment music recommended by the system, the system judges that the brain response amplitude is large according to the electroencephalogram signal characteristics, the system can modify the music type in time, such as more soothing music, if the user hears the treatment music recommended by the system, the system judges that the electroencephalogram signal characteristics are almost unchanged according to the electroencephalogram signal characteristics, the system can also change the music type, such as more cheerful music, and after multiple treatments, the system can provide a treatment scheme more intelligently and accurately.
When the magnetic therapy mode is selected, firstly, the system recommends the intensity and duration of magnetic therapy according to the evaluation result, simultaneously monitors the change state of the electroencephalogram signal characteristics during therapy, and adjusts the intensity and duration of the magnetic signal in time if the electroencephalogram signal characteristics change obviously when a user is subjected to magnetic therapy; the user can also autonomously control the treatment plan in the interface, and if the user feels that the recommended treatment plan is any untimely, the treatment can be timely adjusted or stopped through the interface. The magnetic therapy mode can also be added with an early warning mechanism, if a user selects continuous long-time magnetic signal stimulation in one treatment, the early warning mechanism can prompt that the treatment time is long, and meanwhile, the treatment is automatically suspended according to the time length system.
In practical applications, the input module 112 of the main control device 11 may send an instruction to start the magnetic stimulation therapy or the mobile terminal may send an instruction to start the magnetic stimulation therapy to the main control device 11 through the communication module 115 of the main control device 11, and then the processor 111 of the main control device 11 controls the second microprocessor 131 of the magnetic signal therapy module 13 to control the power module 132 to charge and discharge the magnetic therapy coil 133, so as to generate the magnetic signal. The magnetic signal treatment module 13 supports the independent configuration enabling function of each magnetic treatment coil, can select the magnetic signals with three intensities of low (0-5mT), medium (5-12mT) and high (12-20mT), can select the treatment duration and the treatment interval, and achieves the effect of improving the mental state of a user through continuous and repeated magnetic signal stimulation.
In an embodiment of the present application, the processor 111 of the main control device 11 may be an artificial intelligence chip, and is further configured to autonomously train an emotion calculation model, and iterate and update the emotion calculation model, so as to achieve an accurate model suitable for different people.
In an embodiment of the present application, the processor 111 of the main control device 11 may also be configured to filter artifact noise of the magnetic signal to the electroencephalogram signal by using a wavelet-kalman filtering algorithm, and reduce phase delay of the electroencephalogram characteristic information by using a zero-phase filter, so as to more accurately analyze a change condition of the brain region during magnetic signal treatment. After being processed by a filter, the electroencephalogram signals respectively enter a storage module and an emotion calculation model, and the emotion calculation model can calculate the current mental state to be tested in real time; after a certain number of electroencephalogram signals are stored in the storage module, the electroencephalogram signals are transmitted to the emotion calculation model in the artificial intelligent chip to carry out updating iterative training on the model, and therefore after the treatment system is used for multiple times, the model becomes more and more personalized and accurate.
In an embodiment of the present application, the output module 113 of the main control device 11 may include an audio playing module for playing music for treatment. The audio playing module can be disposed in the electrode cap 14, when the audio playing module is disposed in the electrode cap 14, the electrode cap 14 further includes a bluetooth module connected to the audio playing module, and the audio playing module is connected to the communication module 115 of the main control device 11 through the bluetooth module, so that the processor 111 of the main control device 11 controls the audio playing module to play the music for treatment. The audio playing module can be a bone conduction microphone earphone with a type-c interface.
In one embodiment of the present application, the active electrode and reference electrode 125 specifically includes three active electrodes located in the brain and two reference electrodes located in the two side lobes when the electrode cap 14 is worn on the head. Therefore, the electrode cap 14 can collect 3-channel brain electrical signals.
In an embodiment of the present application, in order to collect a clean electroencephalogram signal, the electroencephalogram signal collecting module 12 may further include a signal processing module connected between the analog-to-digital conversion module 122 and the action electrode and reference electrode 125, and configured to filter potential signals of the action electrode and the reference electrode, so as to ensure that the potential signals can be completely collected by the analog-to-digital conversion module 122. In order to ensure that electroencephalogram signals can be collected in different crowds, the signal processing module further comprises an impedance matching detection circuit to adapt to the impedance of the forehead leaves of different crowds, the main control device 11 can display impedance detection values in real time, and electroencephalogram signals can be collected when the impedance detection values are smaller than 5k omega. In order to ensure high-quality and low-noise acquisition of electroencephalogram, an integrated chip with built-in programmable gain amplification, internal reference, right leg driving, analog-to-digital conversion and an on-board oscillator is adopted to replace a signal processing module and an analog-to-digital conversion module, and compared with the method that an analog circuit is built by using devices such as an amplifier, an analog-to-digital converter and the like, the integrated chip is lower in input noise and better in stability.
In order to ensure the loss of the electroencephalogram signal in the transmission process, the action electrode and the reference electrode 125 are connected with the signal processing module by a shielding wire. In terms of electrode layout, the transmission lines of every four electrodes are woven together and away from the magnetic therapy coil, and the transmission lines between the active and reference electrodes 125 and the signal processing module are perpendicular to the direction of the magnetic signal induced current, thereby minimizing the interference of the magnetic therapy coil on the brain electrical signals.
In an embodiment of the present application, the electroencephalogram signal acquisition module 12 can be integrated into the electrode cap 14 as a whole, because the quality of the signal can be ensured to the maximum extent by a shorter signal transmission line. The front part of the electrode cap 14 is made of soft material, so that the action electrode and the reference electrode can be conveniently placed, and other modules of the electroencephalogram signal acquisition device 12 except the action electrode and the reference electrode 125 are placed at the rear part of the electrode cap 14.
In an embodiment of the present application, the electroencephalogram signal acquisition module 12 may further include an SD card electrically connected to the first microprocessor 121, and may be configured to store music and may also store the acquired electroencephalogram signal, so that when the user does not have an upper computer or APP associated with the system, the SD card embedded in the system may be taken out, the required data may be exported to the personal PC through the card reader, and the user may also perform operations such as clearing or downloading the SD card through the PC.
In an embodiment of the present application, the magnetic signal therapy module 13 may further include a communication module electrically connected to the second microprocessor 131, and the communication module is in communication with the communication module 115 of the main control device 11 to receive parameter adjustment of the magnetic signal therapy module 13 by the processor 111 of the main control device 11. The connection between the second microprocessor 131 and the processor 111 of the main control device 11 may be a data transmission line connection or a wired or wireless communication connection via a communication module.
A magnetic therapy coil 133 may be disposed in the electrode cap 14.
The magnetic signal therapy module 13 may further include a motor electrically connected to the second microprocessor 131 and disposed on each magnetic therapy coil for adjusting a position, and a user may adjust the position by himself/herself through the main control device 11, so that the magnetic stimulation therapy may accurately stimulate the brain region.
The Power Module 132 may employ an Intelligent Power Module (IPM).
The second microprocessor 131 of the magnetic signal treatment module 13 can also be used for removing the artifact signals such as myoelectricity and electrooculogram generated during magnetic signal treatment by using an artifact denoising algorithm, and analyzing the change of different brain areas during magnetic signal treatment to make up for the defect of low spatial information resolution of electroencephalogram signals.
In an embodiment of the present application, the communication module may be a wired communication module or a wireless transmission module. To make the system more lightweight, the mobility and portability of the system are enhanced. In an embodiment of the present application, a wireless transmission module is adopted. The wireless transmission module can be a WIFI module, a Bluetooth module, a Zigbee module, a 4G communication module, a 5G communication module and the like.
In an embodiment of the application, the system supports cloud data storage, and a user can select to store data in a cloud, so that scientific research personnel can analyze and research the data conveniently.
Please refer to fig. 2, which is a flowchart illustrating a method for monitoring and treating mental states based on closed-loop feedback according to an embodiment of the present application, the method being implemented based on a system for monitoring and treating mental states based on closed-loop feedback according to an embodiment of the present application, the method for monitoring and treating mental states based on closed-loop feedback according to an embodiment of the present application includes the following steps:
s101, initializing a system;
s102, prompting selectable functions including a music treatment mode, a magnetic treatment mode and a mental state monitoring mode; if the music therapy mode is selected, executing S103, if the magnetic therapy mode is selected, executing S104, and if the mental state monitoring mode is selected, executing S105;
s103, collecting user information, selecting a music type, and playing music;
s104, collecting user information, starting a magnetic signal treatment module, selecting the intensity and treatment duration of a magnetic signal, and closing the magnetic signal treatment module after treatment is finished;
and S105, collecting user information, connecting the electroencephalogram signal collection module, controlling the electroencephalogram signal collection module to collect electroencephalogram signals, extracting, classifying and calculating the collected electroencephalogram signals, evaluating mental states according to the emotion calculation model, and selecting a music treatment mode or a magnetic treatment mode by a system or a user according to an evaluation result if feedback treatment is needed.
In an embodiment of the present application, after the evaluating the mental state according to the emotional computing model, the method may further include:
storing the electroencephalogram signals and the evaluation result;
training an emotion calculation model according to the electroencephalogram signal and the evaluation result, and iterating and updating the emotion calculation model; and/or uploading the electroencephalogram signals and the evaluation results to a cloud.
Compared with traditional electroencephalogram equipment or magnetic therapy equipment used in hospitals, the system for monitoring and treating mental states based on closed-loop feedback is low in cost, good in portability, simple to operate, good in comfort and good in user experience, and can better guarantee the quality of acquired electroencephalogram signals. The system can judge the emotional state of the testee by analyzing the electroencephalogram signals of the testee in the resting state and stimulated by related music, and provides the mental state evaluation result for reference. Fig. 3 is a report giving the probability of depression risk.
In the application, the mental state monitoring and treatment system based on closed-loop feedback comprises a main control device, an electroencephalogram signal acquisition module and a magnetic signal treatment module, wherein the electroencephalogram signal acquisition module and the magnetic signal treatment module are respectively connected with the main control device; in the treatment process, the electroencephalogram signal acquisition module is controlled by the main control device to acquire electroencephalogram signals in real time, and the processor adjusts the parameters of the music treatment mode or the magnetic treatment mode according to the electroencephalogram signals acquired in the treatment process. Namely, the system provided by the application integrates mental state monitoring, music therapy intervention and magnetic signal therapy intervention; the whole system is a closed-loop system, the mental state can be monitored in real time while treatment is carried out, and intervention parameters are adjusted in a feedback mode, so that accurate treatment is achieved; and because the processor of the main control device is an artificial intelligent chip and is also used for autonomously training the emotion calculation model and iterating and updating the emotion calculation model, the personalized treatment aiming at different crowds is achieved.
It should be understood that the steps in the embodiments of the present application are not necessarily performed in the order indicated by the step numbers. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least some of the steps in various embodiments may include multiple sub-steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of performing the sub-steps or stages is not necessarily sequential, but may be performed alternately or alternately with other steps or at least some of the sub-steps or stages of other steps.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a non-volatile computer-readable storage medium, and can include the processes of the embodiments of the methods described above when the program is executed. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above examples only show some embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.

Claims (10)

1. A mental state monitoring and treatment system based on closed-loop feedback is characterized by comprising a main control device, an electroencephalogram signal acquisition module and a magnetic signal treatment module which are respectively connected with the main control device, and an electrode cap;
the main control device comprises a processor, and an input module, an output module, a storage module and a communication module which are respectively electrically connected with the processor;
the electroencephalogram signal acquisition module is used for measuring the potential difference between the action electrode and the reference electrode to obtain an electroencephalogram signal, and comprises a first microprocessor connected with a processor of the main control device, an analog-to-digital conversion module, a storage module and a communication module which are respectively electrically connected with the first microprocessor, and also comprises an action electrode and a reference electrode which are electrically connected with the analog-to-digital conversion module, wherein the action electrode and the reference electrode are arranged in an electrode cap;
the magnetic signal treatment module comprises a second microprocessor connected with the processor of the main control device, a power module electrically connected with the second microprocessor and a magnetic treatment coil electrically connected with the power module; the second microprocessor controls the power module to charge and discharge the magnetic therapy coil so as to generate a magnetic signal;
the system firstly acquires electroencephalogram signals through an electroencephalogram signal acquisition module, a processor extracts, classifies and calculates the acquired electroencephalogram signals, the mental state is evaluated according to an emotion calculation model, a music treatment mode or a magnetic treatment mode is selected by the system or a user according to the evaluation result, if the music treatment mode is selected, an output module is controlled to play corresponding treatment music, and if the magnetic treatment mode is selected, a magnetic signal treatment module is controlled to be started; in the treatment process, the electroencephalogram signal acquisition module is controlled by the main control device to acquire electroencephalogram signals in real time, and the processor adjusts the parameters of the music treatment mode or the magnetic treatment mode according to the electroencephalogram signals acquired in the treatment process.
2. The system of claim 1, wherein the processor of the master control device is further configured to filter artifact noise of the magnetic signal to the electroencephalogram signal using a wavelet-kalman filtering algorithm, and to reduce phase delay of the electroencephalogram feature information using a zero-phase filter.
3. The system as claimed in claim 1, wherein the output module of the main control device comprises an audio playing module for playing music for treatment, the audio playing module is disposed in the electrode cap, when the audio playing module is disposed in the electrode cap, the electrode cap further comprises a bluetooth module connected with the audio playing module, and the audio playing module is connected with the communication module of the main control device through the bluetooth module, so that the processor of the main control device controls the audio playing module to play music for treatment.
4. The system of claim 1, wherein the brain electrical signal acquisition module further comprises a signal processing module connected between the analog-to-digital conversion module and the active and reference electrodes for filtering the potential signals of the active and reference electrodes;
the signal processing module comprises an impedance matching detection circuit to adapt to the impedance of the forehead of different crowds;
the action electrode and the reference electrode are connected with the signal processing module by a shielding wire;
the transmission lines of the plurality of electrodes are woven together and away from the magnetic therapy coil, and the transmission lines between the active and reference electrodes and the signal processing module are perpendicular to the direction of the magnetic signal induced current.
5. The system of claim 1, wherein the brain electrical signal acquisition module is integrally integrated into an electrode cap in which the magnetic therapy coil is disposed.
6. The system of claim 1, wherein the magnetic signal treatment module further comprises a communication module electrically connected to the second microprocessor, the communication module being in communication with the communication module of the master control device and being adapted to receive parameter adjustments from the processor of the master control device to the magnetic signal treatment module.
7. The system of claim 1, wherein the magnetic signal treatment module further comprises a motor electrically connected to the second microprocessor and disposed on each magnetic treatment coil for adjusting the position; the second microprocessor of the magnetic signal treatment module is also used for removing artifact signals generated during magnetic signal treatment by using an artifact denoising algorithm and analyzing the change of different brain areas during magnetic signal treatment.
8. The system of claim 1, wherein the processor of the master control device is an artificial intelligence chip and is further configured to autonomously train, iterate, and update the emotion calculation model.
9. A method for closed-loop feedback-based mental state monitoring and treatment, wherein the method is implemented based on the system for closed-loop feedback-based mental state monitoring and treatment according to any one of claims 1 to 8, and the method comprises the following steps:
s101, initializing a system;
s102, prompting selectable functions including a music treatment mode, a magnetic treatment mode and a mental state monitoring mode; if the music therapy mode is selected, executing S103, if the magnetic therapy mode is selected, executing S104, and if the mental state monitoring mode is selected, executing S105;
s103, collecting user information, selecting a music type, and playing music;
s104, collecting user information, starting a magnetic signal treatment module, selecting the intensity and treatment duration of a magnetic signal, and closing the magnetic signal treatment module after treatment is finished;
and S105, collecting user information, connecting the electroencephalogram signal collection module, controlling the electroencephalogram signal collection module to collect electroencephalogram signals, extracting, classifying and calculating the collected electroencephalogram signals, evaluating mental states according to the emotion calculation model, and selecting a music treatment mode or a magnetic treatment mode by a system or a user according to an evaluation result if feedback treatment is needed.
10. The method of claim 9, wherein after said assessing a mental state according to an emotional computing model, the method further comprises:
storing the electroencephalogram signals and the evaluation result;
training an emotion calculation model according to the electroencephalogram signal and the evaluation result, and iterating and updating the emotion calculation model; and/or uploading the electroencephalogram signals and the evaluation results to a cloud.
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