CN112402792A

CN112402792A - Nerve regulation and control device and method

Info

Publication number: CN112402792A
Application number: CN202011218509.5A
Authority: CN
Inventors: 罗余; 蔚鹏飞
Original assignee: Shenzhen Zhongke Huayi Technology Co ltd
Current assignee: Shenzhen Zhongke Huayi Technology Co ltd
Priority date: 2020-11-04
Filing date: 2020-11-04
Publication date: 2021-02-26

Abstract

The invention provides a nerve regulation and control device and a method, wherein the device comprises a waveform generation module, a stimulation module, a power supply module, a control module, an acquisition module and an electrode unit, wherein the control module is respectively connected with the stimulation module and the acquisition module; the waveform generation module provides waveform signals for the two stimulation units respectively, and the two waveform signals have coherence; the acquisition module is connected with the electrode unit to acquire electroencephalogram data, feeds the acquired electroencephalogram data back to the control module, and adjusts waveform signals according to the electroencephalogram data. The invention overcomes the defects of blind regulation, non-invasive operation and incompatible deep regulation in the prior art, can not only regulate the brain neuron region in a non-invasive deep manner, but also regulate the brain pointedly, has the characteristics of small volume, low power consumption, simple operation, convenient carrying and the like, and has important significance for popularization and application of the brain nerve regulation.

Description

Nerve regulation and control device and method

Technical Field

The invention relates to the field of cranial nerves, in particular to a nerve regulation device and a method.

Background

With the rapid development of society, people face various stresses in life and work, and sub-health is a ubiquitous health problem for modern people. The sub-health status related to brain function such as insomnia, amnesia, and inattention may affect normal work and life, and the long-term sub-health status may develop into brain function deficiency such as depression and schizophrenia and neurodegenerative diseases. Brain function defects including schizophrenia, senile dementia, epilepsy, depression, autism and the like, and neurodegenerative diseases seriously affect the lives of people, and the number of the patients is increasing along with the reasons of accelerating the progress of social aging, exacerbating environmental problems and the like, so that great economic burden is brought to families and society.

Mental illness or brain functional sub-health is essentially caused by abnormalities in the neural circuits of the brain. The brain is an organ composed of hundreds of billions of neurons, the neurons form an interwoven neural network, and information is transmitted and integrated among the neural networks through membrane potential distribution of the neurons. Thus, abnormalities in the neural circuits can also be considered disturbances of the electrical activity of the neural network of the brain.

The nerve regulation and control technology is a technology which plays a role in exciting, inhibiting or regulating neurons or nerve signal transduction at adjacent or distant parts of a central nervous system, a peripheral nervous system and an autonomic nervous system through an implantable or non-implantable technology and an electric or chemical action mode so as to regulate the electrical activity of a brain neural network and improve the nerve function. In recent years, the neural regulation and control technology has become the interdisciplinary subject with the fastest development of the combination of neuroscience and biomedical engineering, and has also become the key focus of scientific research, clinical treatment and medical instrument investment. The nerve regulation and control technology can be divided into two types, namely invasive and non-invasive according to whether invasive operation is performed or not. Currently, existing invasive neuromodulation techniques include Deep Brain Stimulation (DBS), Optogenetics (Optogenetics), and non-invasive neuromodulation techniques include Transcranial Electrical Stimulation (TES), Transcranial Magnetic Stimulation (TMS), Transcranial Ultrasonic Stimulation (TUS), drug intervention, and the like. Studies have shown that neurons typically respond only to low frequency electrical signals, and not to high frequency electrical signals. The low-frequency electrical stimulation signals which are generally adopted at present can be responded by neurons, but the penetrability to the human body is poor, and the signals are difficult to be transmitted from the outside of the human body to the nervous system which is deep in the human body. The attenuation of the transmission of the intermediate-frequency electrical stimulation signals in the human tissue is far less than that of the low-frequency electrical stimulation signals, and the intermediate-frequency electrical stimulation signals can be effectively transmitted to a deep nervous system of the human tissue. However, the medium frequency electrical stimulation signals tend to fatigue the neurons, making it difficult to stimulate their responses. Therefore, the application of high frequency electrical signals to the brain can allow the signals to effectively penetrate the surface layer of the brain and reach deeper brain tissues.

In chinese patent with application publication No. CN106157598A, a wireless infrared remote control optogenetic system is introduced, which includes a power supply driving board, an infrared transmitting tube strip, a signal source, and a 5V power supply; the infrared receiving end comprises an infrared receiving tube, a 3.7V lithium battery, a comparison circuit and a blue light emitting diode. The signal source is used for controlling the on-off of the power supply driving board to control the on-off of the infrared transmitting tube lamp strip, so that the brightness of the infrared transmitting tube lamp strip is basically the same and the infrared transmitting tube lamp strip is synchronously on and off, the infrared receiving tube receives the infrared signal of the infrared transmitting tube lamp strip with the infrared transmitting tube, the comparison circuit controls the on-off of the blue infrared diode, and the light signal of the blue light emitting diode is guided into the cells of the living body through the optical fiber, so that effective light stimulation is realized. The invention can realize remote wireless control in the experiment box, has small volume, high integration, compact structure, accurate and timely response to the remote control signal of the signal source, large infrared remote control range, no influence on the free movement of the mouse in the large range, contribution to large-scale behavioural experiments, low manufacturing cost and obvious experimental phenomenon. However, the technique needs craniotomy, is complex in operation, has certain operation risk, and cannot be widely applied.

The invention patent with application publication number CN104548390A introduces an ultrasonic deep brain stimulation method and a system, and the method comprises the following steps: medically imaging an animal or human head, generating image data; establishing a head three-dimensional digital model according to the image data; establishing a three-dimensional digital model of the ultrasonic transducer array according to the structure, the density and the acoustic parameter information of the ultrasonic transducer array; generating a first ultrasonic emission sequence according to the three-dimensional digital model of the head, the three-dimensional digital model of the ultrasonic transducer array and the structure, density and acoustic parameters of the skull and the brain tissue; and controlling the ultrasonic transducer array to emit ultrasonic waves according to the first ultrasonic emission sequence, and implementing ultrasonic deep brain stimulation on a brain nerve nucleus to be stimulated. By the invention, the ultrasound can pass through the skull and focus on the deep brain area without the need of non-invasive operation. By using different ultrasonic emission sequences, ultrasonic nerve regulation can be realized, and the action mechanism of the ultrasonic nerve regulation can be researched. However, the invention needs larger equipment with the same volume as the medical imaging equipment, needs a specific working environment, has high use cost and large power consumption, and cannot be carried portably; the method needs series of professional operations such as modeling and the like, is complex in operation, cannot be popularized and applied, and has no universality.

In chinese patent application publication No. CN106310517A, a wearable brain function regulation system is introduced, comprising: the system comprises a multi-channel electroencephalogram recording electrode, a direct current stimulating electrode, a data acquisition and control module, a communication module, a head wearable support module, a cloud platform database and a mobile terminal; collecting potential change signals from the scalp by a multi-channel electroencephalogram recording electrode; stimulating the scalp by the direct current stimulating electrode; the data acquisition and control module is connected with the multichannel electroencephalogram recording electrode and the direct current stimulation electrode, generates user physiological state data according to the potential change signal and outputs the user physiological state data to the cloud platform database through the communication module; receiving a stimulation instruction sent by the mobile terminal through the communication module, and outputting a stimulation current to the direct current stimulation electrode according to the stimulation instruction; the cloud platform database stores the potential change signal and the physiological state data of the user; the mobile terminal analyzes, stores and displays the physiological state data of the user and outputs a stimulation instruction. The regulation and control system is wearable, so that the system is convenient to carry, and can accurately regulate and control the brain activity state because the brain electrical signals can be collected. However, the technology is based on the neural regulation technology of the cerebral cortex, namely, the range of the neuron regulation is only limited to the cerebral cortex and cannot reach the deep part of the brain, so that the regulation range is limited, and the use range and the use effect of the system are limited.

The existing nerve regulation and control device generally realizes brain regulation and control based on an open loop mode, namely under the condition that the brain state is unknown, brain neurons are blindly regulated and controlled, and the blindness of regulation and control causes the inefficiency of results, so that the nerve regulation and control device cannot be well applied.

Therefore, the prior art generally has the defects of large volume, high cost, complex operation, invasive operation such as craniotomy and the like, incapability of regulating and controlling deep brain neuron regions, blind regulation and the like, needs a technology, can realize noninvasive deep regulation and control of the deep brain neuron regions, can realize accurate regulation and control aiming at specific brain states, and has the characteristics of small volume, low cost, simple operation, convenience in carrying and the like.

Disclosure of Invention

Based on the problems in the prior art, the invention provides a nerve regulation device and a method, and the specific scheme is as follows:

a nerve regulation and control device comprises a waveform generation module, a stimulation module, a power module and an electrode unit, wherein the power module supplies power to the device, and further comprises a control module and an acquisition module, wherein the control module is respectively connected with the waveform generation module and the acquisition module and is used for sending a first instruction to the waveform generation module, sending a second instruction to the acquisition module and receiving electroencephalogram data sent by the acquisition module; the acquisition module is used for acquiring user electroencephalogram data according to the second instruction sent by the control module, processing the acquired electroencephalogram data and sending the electroencephalogram data after data processing to the control module; the stimulation module comprises a first stimulation unit and a second stimulation unit, and the waveform generation module is respectively connected with the first stimulation unit and the second stimulation unit and is used for providing a first waveform signal for the first stimulation unit according to the first instruction sent by the control module and providing a second waveform signal for the second stimulation unit according to the first instruction sent by the control module; the first waveform signal and the second waveform signal have coherence; the electrode unit comprises a first electrode unit, a second electrode unit and a third electrode unit, the first electrode unit is connected with the first stimulation unit and used for acting a first waveform signal processed by the first stimulation unit on the brain of the user, the second electrode unit is connected with the second stimulation unit and used for acting a second waveform signal processed by the second stimulation unit on the brain of the user, and the third electrode unit is connected with the acquisition module and used for acquiring electroencephalogram data of the user; the electroencephalogram data sent to the control module by the acquisition module is used for guiding the first instruction so as to adjust the first waveform signal and the second waveform signal.

Furthermore, the acquisition module comprises a preamplification unit for amplifying the electroencephalogram signals and an analog-to-digital conversion unit for analog-to-digital conversion, and the preamplification unit is connected with the analog-to-digital conversion unit; the preamplification unit is further connected with the third electrode unit, and the analog-to-digital conversion unit is further connected with the control module.

Furthermore, the acquisition module can acquire multi-channel electroencephalogram data through the third electrode unit.

Furthermore, the acquisition module provides the third electrode unit to acquire 8 channels of electroencephalogram data; the third electrode unit comprises a plurality of action electrodes for acquiring the 8-channel electroencephalogram data and a plurality of reference electrodes for reference.

Further, the first stimulation unit comprises a first filtering unit, the second stimulation unit comprises a second filtering unit, and the first filtering unit and the second filtering unit are both provided with a differential amplifying circuit for signal amplification and a low-pass filtering circuit for noise reduction; the first filtering unit is used for filtering the first waveform signal through the differential amplifying circuit and the low-pass filtering circuit which are arranged by the first filtering unit, and the second filtering unit is used for filtering the second waveform signal through the differential amplifying circuit and the low-pass filtering circuit which are arranged by the second filtering unit.

Furthermore, the first stimulation unit further comprises a first constant current unit for performing constant current processing on the first waveform signal, and the second stimulation unit further comprises a second constant current unit for performing constant current processing on the second waveform signal; the first constant current unit is respectively connected with the first filtering unit and the first electrode unit, and the second constant current unit is respectively connected with the second filtering unit and the second electrode unit.

Particularly, the first constant current unit and the second constant current unit are both provided with current driving devices for improving current driving capability and controlling charge balance; the current driving device comprises a constant current source circuit and an inverse constant current source circuit, wherein the phases of the constant current source circuit and the inverse constant current source circuit are opposite.

The terminal is connected with the control module and used for sending a control instruction to the control module and receiving information sent by the control module, wherein the information comprises electroencephalogram data sent to the control module by the acquisition module.

The terminal is connected with the control module and used for realizing communication between the terminal and the control module, and the terminal sends a control instruction to the control module through the communication module and receives information sent by the control module through the communication module.

Furthermore, the terminal is also used for generating parameter characteristics of the waveform signal based on the brain state evaluation of the user and sending the parameter characteristics to the control module through the communication module; the brain state evaluation comprises the step that the terminal acquires brain electrical data sent by the control module.

Further, the power module comprises an electric energy storage unit, a voltage conversion unit and a charging unit, the electric energy storage unit is electrically connected with the voltage conversion unit, the charging unit is electrically connected with the electric energy storage unit, and the voltage conversion unit is provided with a voltage conversion circuit; the voltage conversion unit is respectively connected with the waveform generation module and the stimulation module.

The support module is further included, and the inner surface of the support module is attached to the head of a user; the electrode unit is disposed on an inner surface of the support module.

Further, the support module includes an integrated circuit portion; the control module, the power module, the waveform generation module, the control module, the acquisition module, the stimulation module and the communication module are all integrated in the integrated circuit part.

Still further, the support module further comprises a connecting portion; the connecting parts are distributed on the inner surface of the supporting module and used for being connected with the electrode unit, and the electrode unit is detachably connected with the connecting parts.

A neuromodulation method applied to the neuromodulation device, the method comprising: generating a first instruction through the control module and transmitting the first instruction to the waveform generation module; generating a first waveform signal and a second waveform signal according to the first instruction through the waveform generation module, sending the first waveform signal to the first stimulation unit, and sending the second waveform signal to the second stimulation unit; performing signal processing on the first waveform signal through the first stimulation unit to obtain a first waveform signal after signal processing, and transmitting the first waveform signal to the first electrode unit; performing signal processing on the second waveform signal through the second stimulation unit to obtain a second waveform signal after signal processing, and transmitting the second waveform signal to the second electrode unit; the first electrode unit is used for applying the first waveform signal after signal processing to the brain of a user, the second electrode unit is used for applying the second waveform signal after signal processing to the brain of the user, and the first waveform signal after signal processing and the second waveform signal after signal processing are coherent to form a new waveform signal in the brain of the user; generating the second instruction through the control module, and sending the second instruction to the acquisition module; and acquiring electroencephalogram data according to the second instruction through the acquisition module, processing the electroencephalogram data acquired by the third electrode unit to obtain electroencephalogram data after data processing, and transmitting the electroencephalogram data to the control module.

Further, the first waveform signal and the second waveform signal comprise sine wave signals, and the frequency of the waveform signal generated by the waveform generation module exceeds 10 KHz.

Further, the first stimulation unit comprises a first filtering unit and a first constant current unit, and the second stimulation unit comprises a second filtering unit and a second constant current unit; the first waveform signal enters the first constant current unit for constant current processing after being filtered by the first filtering unit in the first stimulating unit; and the second waveform signal enters the second constant current unit for constant current processing after being filtered by the second filtering unit in the second stimulation unit.

Further, the acquisition module comprises a preamplification unit and an analog-to-digital conversion unit; the electroencephalogram data collected by the third electrode unit are amplified by the pre-amplification unit in the collection module, then enter the analog-to-digital conversion unit for analog-to-digital conversion, and the electroencephalogram data after analog-to-digital conversion are transmitted to the control module.

Further, the device also comprises a terminal and a communication module; after the control module sends the electroencephalogram data to the terminal, the terminal performs feature processing on the electroencephalogram data to obtain the brain state evaluation of the user, generates parameter features of waveform signals according to the brain state evaluation of the user, and sends the parameter features to the control module through the communication module.

Furthermore, the characteristic processing in the step of performing the characteristic processing on the electroencephalogram data by the terminal comprises the steps of sequentially performing interference processing, characteristic extraction and characteristic analysis on the electroencephalogram data; the interference processing comprises removing eye movement interference and power frequency interference, and performing band-pass filtering and spatial filtering; the feature extraction comprises extracting delta, theta, alpha and beta; the characteristic analysis comprises time domain analysis and spectrum analysis.

The invention has the following beneficial effects:

the invention solves the defects of large volume, high cost, complex operation, invasive operation such as craniotomy and the like, incapability of regulating the deep brain neuron region and the like existing in the prior art, can regulate the deep brain neuron region and realize noninvasive operation, and has the characteristics of portability, low operation cost, simple and convenient operation and the like.

In order to make the aforementioned and other objects, features and advantages of the present invention comprehensible, preferred embodiments accompanied with figures are described in detail below.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.

FIG. 1 is a device configuration diagram of a nerve modulation device of the present invention;

FIG. 2 is an enlarged structural view of an integrated circuit portion of a nerve modulation device of the present invention;

FIG. 3 is a circuit diagram of a differential amplifier of a neuromodulation device of the present invention;

FIG. 4 is a circuit diagram of a low pass filter of a neuromodulation device of the present invention;

FIG. 5 is a specific circuit diagram of a current driving device of a neuromodulation apparatus according to the present invention;

FIG. 6 is a graph of a single channel output waveform and its noise profile for a neuromodulation device of the present invention;

FIG. 7 is a diagram of a new waveform signal formed by the coherence of two waveform signals of a neuromodulation device according to the present invention;

FIG. 8 is a diagram of electroencephalogram data collected by the collection module of a neuromodulation device of the present invention;

FIG. 9 is a flow chart of a method of neuromodulation of the invention;

FIG. 10 is a more detailed method flow diagram of a neuromodulation method of the present invention;

FIG. 11 is a flow chart of the block steps of a method of neuromodulation of the present invention.

Reference numerals:

1 waveform generation module, 2 stimulation module, 3 power module, 4 control module, 5 terminals, 6 communication module, 7 support module, 8 electrode unit, 9 acquisition module, 91 preamplification unit, 92 analog-to-digital conversion unit, 81 first electrode unit, 82 second electrode unit, 83 third electrode unit, 21 first stimulation unit, 22 second stimulation unit, 212 first filtering unit, 213 first constant current unit, 222 second filtering circuit, 223 second constant current unit, 31 electric energy storage unit, 32 voltage conversion unit, 33 charging unit and 71 integrated circuit part.

Detailed Description

Example 1

In order to overcome the defects in the prior art, the embodiment provides a nerve modulation device, and the structure of the device is shown in the attached figure 1 in the specification. The specific scheme is as follows:

a nerve regulation and control device comprises a waveform generation module 1, a power supply module 3, a stimulation module 2 and an electrode unit 8. The power module 3 supplies power to the whole device, and the waveform generation module 1 is connected with the stimulation module 2. The electroencephalogram data acquisition system is characterized by further comprising a control module 4 and an acquisition module 9, wherein the control module 4 is respectively connected with the waveform generation module 1 and the acquisition module 9 and used for sending a first instruction to the waveform generation module 1 and sending a second instruction to the acquisition module 9 and receiving the electroencephalogram data sent by the acquisition module 9, and the electroencephalogram data sent to the control module 4 by the acquisition module 9 is used for guiding the first instruction. The stimulation module 2 comprises a first stimulation unit 21 and a second stimulation unit 22, the electrode unit 8 comprises a first electrode unit 81, a second electrode unit 82 and a third electrode unit 83, the first stimulation unit 21 is connected with the first electrode unit 81, the second stimulation unit 22 is connected with the second electrode unit 82, and the acquisition module 9 is connected with the third electrode unit 83; the control module 4 sends a first instruction to the waveform generation module 1, and the waveform generation module 1 generates a first waveform signal and a second waveform signal by analyzing waveform information in the first instruction, sends the first waveform signal to the first stimulation unit 21, and sends the second waveform signal to the second stimulation unit 22. Wherein, the first waveform signal and the second waveform signal have coherence, each stimulation unit applies a group of waveform signals to the head of the user through the two electrode units 8, and the two groups of waveform signals form a new waveform signal in the head of the user in a coherent manner. In particular, the users proposed herein, including users of the present device, include wearers of the device, objects acquired by the acquisition module, objects regulated by the stimulation unit, and the like. The stimulation module 2 is used for processing the waveform signal sent by the waveform generation module 1; the stimulation module 2 comprises a filtering unit and a constant current unit. Wherein, the first stimulation unit 21 is provided with a first filtering unit 212 and a first constant current unit 213, and the second stimulation unit 22 is provided with a second filtering unit 222 and a second constant current unit 223. The first filtering unit 212 and the second filtering unit 222 are both provided with a differential amplifying circuit and a low-pass filtering circuit; each of the first constant current unit 213 and the second constant current unit 223 includes a current driving device for improving current driving capability and controlling charge balance, and the current driving device is composed of a constant current source circuit and an inverted constant current source circuit, which are opposite in phase. The device further comprises a communication module 6 and a terminal 5; the control module 4 is connected with the waveform generation module 1, and the terminal 5 communicates with the control module 4 through the communication module 6. In addition, the device further comprises a supporting module 7, the supporting module 7 is of a head-wearing type, the inner surface of the supporting module 7 is attached to the head of a user, the electrode unit 8 is arranged on the inner surface of the supporting module 7, an integrated circuit portion 71 is arranged on the supporting module 7, the waveform generating module 1, the power supply module 3, the stimulation module 2, the acquisition module 9, the control module 4 and the communication module 6 are integrated on the integrated circuit portion 71, and the specific structure of the integrated circuit portion 71 is shown in the attached figure 2 of the specification.

Specifically, the waveform generation module 1 receives a first instruction of the control module 4 to generate a corresponding waveform signal. The control module 4 processes the parameter characteristics of the waveform signal to be generated into a first instruction and sends the first instruction to the waveform generation module 1, and the waveform generation module 1 analyzes the parameter characteristics in the first instruction, generates two sets of non-interfering high-frequency sine wave data, namely a first waveform signal and a second waveform signal, and sends the first waveform signal and the second waveform signal to the first stimulation unit 21 and the second stimulation unit 22 respectively. The electroencephalogram data sent to the control module by the acquisition module realizes the adjustment of the first waveform signal and the second waveform signal by guiding the first instruction. Preferably, the waveform generating module 1 selected in this embodiment includes a direct digital frequency synthesizer, and has the advantages of low cost, low power consumption, high resolution, fast switching time, and the like. The traditional high-frequency signal generator adopts the FPGA to realize signal output, and the mode can realize the functions of high frequency, low error and the like, but the FPGA is a chip with multiple power supply requirements, has extremely high requirements on the power supply, large power consumption and complex use, and is not suitable for being integrated on a circuit board of portable equipment. The embodiment adopts a mode of combining the controller and the direct digital frequency synthesizer to replace the traditional high-frequency signal generator, not only can realize the output of high-frequency and high-precision waveform signals, but also has low power consumption, is easy to integrate on a circuit board and meets the requirements of portable equipment on products.

Specifically, the control module 4 receives an instruction from the terminal, and controls the acquisition module 9 and the waveform generation module 1. The terminal 5 sends an instruction to the control module 4 through the communication module 6, and the control module 4 analyzes the instruction content after receiving the instruction from the terminal 5. The instruction content comprises waveform parameters, acquisition equipment information and acquisition electroencephalogram signals, and the control module 4 analyzes different instructions and makes different controls. The control module 4 analyzes the instruction, if the instruction for generating the waveform signal is obtained, the parameter characteristics of the waveform signal to be generated are extracted, the parameter characteristics including frequency, amplitude and phase are processed into a first instruction, and the first instruction is sent to the waveform generation module 1; the control module 4 analyzes the instruction, and if the instruction for acquiring the device information is obtained, the information of the power module 3, the stimulation module 2 and the acquisition module 9, such as the electric quantity information of the power module 3, whether charging is in progress, whether the first electrode unit 81 and the second electrode unit 82 are connected with the head of the user, whether the third electrode unit 83 is acquiring data such as electroencephalogram data, can be acquired, and the data can be sent to the terminal 5, so that the user can check the device information in real time through the terminal 5. The control module 4 analyzes the instruction, and if an electroencephalogram data acquisition instruction is obtained, the channel information which is generated and stopped and needs to be acquired is processed into a second instruction and sent to the acquisition module 9.

Specifically, the stimulation module 2 receives the waveform signal of the waveform generation module 1, and acts on the head of the user through the electrode unit 8. The first stimulation unit 21 is connected with the first electrode unit 81, the second stimulation unit 22 is connected with the second electrode unit 82, each electrode unit 8 is provided with two electrodes, the two electrodes form a loop and apply current to the brain by clinging to the scalp of the brain, and the material of the electrode unit 8 can be one of silver-aluminum alloy, stainless steel, gold or silver and other materials. The stimulation module 2 is further provided with a waveform processing unit for processing waveform signals such as noise reduction and constancy. The waveform processing unit comprises a filtering unit and a constant current unit, and the filtering unit and the constant current unit can exist at the same time or exist one by one. Preferably, the waveform processing unit of the present embodiment is provided with both the filtering unit and the constant current unit, i.e., the first stimulation unit 21 is provided with the first filtering unit 212 and the first constant current unit 213, and the second stimulation unit 22 is provided with the second filtering unit 222 and the second constant current unit 223. The filtering unit is electrically connected with the constant current unit, and the waveform signal is subjected to noise reduction processing through the filtering unit and then is subjected to constant current processing through the constant current unit.

More specifically, the first and

second filtering units

212 and 222 are provided with a filtering circuit for reducing noise of a high-frequency sine wave, the filtering circuit including a differential amplifying circuit and a low-pass filtering circuit. The differential amplifier circuit has the following functions: reducing common mode noise generated by a direct digital frequency synthesizer; the ac signal is amplified to meet the intensity requirement of the stimulation current. The differential amplification circuit reduces the noise of the stimulation current of the waveform signal and improves the precision and the intensity of the stimulation current, and is shown in the attached figure 3 in the specification. The low-pass filter circuit is used for further reducing high-frequency noise and filtering out high-frequency wave noise higher than a preset value. The low-pass filter circuit can realize that the tenth harmonic of the sine alternating current signal does not exceed 0.1 percent, thereby not only removing noise, but also improving the stimulation precision. The low-pass filter circuit is shown in figure 4 in the specification.

More specifically, the first and second constant

current units

213 and 223 are provided with current driving means for improving current driving capability, controlling charge balance, and outputting a constant current. Specifically, the current drive device includes a constant current source circuit and an inverted constant current source circuit, which are opposite in phase. The device not only can improve the driving ability of electric current, but also can accurate control the charge balance of brain, reduces the electric current crosstalk of stimulation module 2 for waveform signal is better to the amazing effect of brain, and is more accurate, and current drive device's circuit attaches 5 shown in the figure as the description. The characteristics of the constant current source circuit include that the current delivered is independent of the impedance of the load in the compliance voltage range of the current, and thus the amount of current can be precisely controlled despite the anisotropic impedance of the brain.

More specifically, the first waveform signal and the second waveform signal include sine waves with a frequency exceeding 10 KHz. When the first waveform signal and the second waveform signal act on the brain simultaneously, two high-frequency sine waves are coherent to form a low-frequency waveform. When two alternating waves of different frequencies overlap, a new alternating wave is generated, the effective frequency of which is equal to the average of the two original frequencies and the frequency of which the amplitude is equal to the difference between the original frequencies varies periodically. The output waveform of the single channel and the noise distribution thereof are shown in the specification and the attached figure 6, and the new waveform formed by the coherence of two waveform signals is shown in the specification and the attached figure 7. Amplitude Modulation (AM) is due to the periodic variation between constructive interference (when the two waves are nearly in phase) and destructive interference (when the two waves are nearly 180 degrees out of phase). Two groups of high-frequency sine alternating current signals are applied to the head of a user, and the waveform signals can penetrate through the cerebral cortex and reach the deep part of the brain. By adjusting the position of the electrode unit 8, two groups of signals are intersected in a target area to obtain a difference frequency signal, and the difference frequency signal has lower frequency, so that the influence on peripheral neuron cells can be generated, and the purpose of nerve regulation and control is realized. The filter circuit and the current driving device can effectively control harmonic distortion, total harmonic distortion of 9 times can be controlled below 0.2%, the frequency of an output sine wave can reach above 10KHz, the error can be controlled below 0.1%, and the adjusting precision can reach 0.1 Hz. In the embodiment, the brain neuron region is deeply regulated and controlled through the waveform signal, compared with the traditional deep nerve regulation and control technology, invasive operation is not needed by professionals, the regulation and control risk and complexity are reduced, the regulation and control precision is high, and the risk is small. The waveform signal can penetrate through the cerebral cortex and reach the deep part of the brain, and the regulation range is wide.

The acquisition module 9 is responsible for acquiring and processing user electroencephalogram data. The acquisition module 9 is respectively connected with the third electrode unit 83 and the control module 4. The control module 4 sends a second instruction to the acquisition module 9 to control the acquisition to occur and stop, and the third electrode unit 83 is connected with the brain of the user and used for acquiring electroencephalogram signals. The acquisition unit performs data processing on the electroencephalogram signals acquired by the third electrode unit 83, the data processing specifically includes amplification processing and analog-to-digital conversion processing, the electroencephalogram data are sent to the control module 4, and the electroencephalogram data sent to the control module 4 by the acquisition module 9 are used for guiding a first instruction and adjusting a first waveform signal and a second waveform signal. The third electrode unit 83 is provided with a plurality of electrodes which are distributed on different positions of the head to ensure that electroencephalogram signals of different channels at different positions are collected; preferably, the acquisition module 9 of the present embodiment can simultaneously collect electroencephalogram data of eight channels at most, and the third electrode unit 83 is provided with 8 action electrodes and 2 reference electrodes, wherein the action electrodes are needle electrodes, the reference electrodes are ear clip type iron sheet electrodes, the 8 needle electrodes are disposed at different positions of the head of the user, the 2 ear clip type electrodes are disposed at the ears of the user, and different channels correspond to different action electrodes. The control module 4 can control the on and off of each electrode, and a user can also set a channel to be acquired on the terminal, so that the electrode corresponding to the channel is turned on, and the operation is simple and convenient. The acquisition module 9 is provided with an analog-to-digital conversion unit 92, the electroencephalogram signal is an analog signal and needs to be converted into a digital signal which is conveniently received by the control module 4, the analog-to-digital conversion unit 92 converts the electroencephalogram signal from the analog signal into the digital signal, and then the electroencephalogram signal converted into the digital signal is sent to the control module 4. The acquisition module 9 further comprises a pre-amplification unit 91, the electroencephalogram signal acquired by the third electrode unit 83 is subjected to signal amplification processing through the pre-amplification unit 91, and then analog-to-digital conversion is performed through the analog-to-digital conversion unit 92, so that the accuracy of electroencephalogram data is improved. In addition, because the amount of the acquired electroencephalogram data is large, the acquisition module 9 sends the electroencephalogram data to the control module 4 through a Serial Peripheral Interface (SPI). The electroencephalogram data are shown in figure 8 in the specification.

The acquisition module 9 and the stimulation module 2 adopt two sets of electrodes which are respectively controlled by the control module 4. The acquisition module 9 adopts electroencephalogram signals through the third electrode unit 83, and the stimulation module 2 regulates and controls nerves through the first electrode unit and the second electrode unit. Therefore, the control module 4 can control the acquisition module 9 and the stimulation module 2 to work independently at the same time, the electroencephalogram signal can be acquired in the regulation and control process, a user can visually observe the change condition of the electroencephalogram signal through the final module in the regulation and control process, and the final module can make adjustment, so that a better regulation and control effect is achieved.

Specifically, the power supply module 3 includes an electric energy storage unit 31 and a voltage conversion unit 32. The voltage conversion unit 32 provides the system with the voltages required by the normal operation of the modules, including the voltage required by the operation of the control module 4 and the voltage required by the normal operation of the stimulation module 2. The electric energy storage unit 31 includes a lithium battery and the like, and is used for storing electric energy and ensuring that the system can operate continuously and stably. The charging unit 33 is connected with the electric energy storage unit 31, and is provided with a charging circuit for charging; the charging unit 33 can be externally arranged, and after the energy storage of the electric energy storage unit 31 is finished, the electric energy storage unit is placed in the system to supply power to the system; preferably, the charging unit 33 is built in the power module 3 to charge the storage unit. When the system runs at full load, 500mAh is sampled, 3.7V lithium batteries supply power, the current is below 500mA, and the system can continuously work for more than 1 hour.

In particular, the terminal 5 comprises an application program written autonomously. The self-written application program can be used in a cross-platform mode and is compatible with a plurality of systems including Windows, Android and IOS, so that the terminal 5 can be based on large-scale electronic equipment such as computers and the like and can also be based on portable electronic equipment such as tablet computers, mobile phones and the like, and the self-written application program has strong applicability and popularization. The terminal 5 is used for realizing the interaction between the device and the user, and the user can control the operation of the system and check the state of the system through the terminal 5. The terminal 5 is used for sending instructions to the control module 4 to control the start and stop of regulation and control, the frequency and amplitude of a waveform signal, the magnitude of current and other parameters; the running state of the system can also be displayed for the user, including the lead condition of the stimulation module 2 and the brain, the electric quantity information of the power supply module 3, the regulation time, the generated waveform signal and the like. In particular, the user sets parameter characteristics of two sets of waveform signals on the terminal 5, and the parameter characteristics of the two sets of waveform signals may be the same or different; after the parameter characteristics are confirmed, the terminal 5 processes the parameter characteristics to generate an instruction, the processing comprises encryption processing, and the instruction is sent to the control module 4 through the communication module 6; after receiving the instruction sent by the terminal 5, the control module 4 analyzes data in the instruction, extracts parameter characteristics and sends the parameter characteristics to the waveform generation module 1.

In particular, the communication module 6 is used for communication between the various modules of the system. The communication module 6 includes wired communication and wireless communication, preferably, wireless communication is selected. Wireless communication reduces the burden of system integration. More specifically, the wireless communication module 6 selects a low-power-consumption WIFI transmission module, so that unnecessary power consumption of the system is reduced. The wireless communication module 6 is used for transmitting the instruction sent by the terminal 5 to the control module 4 and the feedback sent by the control module 4 to the terminal 5. After the control module sends the electroencephalogram data to the terminal, the terminal performs feature processing on the electroencephalogram data to obtain brain state evaluation of the user, generates parameter features of a waveform signal according to the brain state evaluation of the user, and sends the parameter features to the control module through the communication module. The characteristic processing comprises interference processing, characteristic extraction and characteristic analysis of the electroencephalogram data in sequence; the interference processing comprises removing eye movement interference and power frequency interference, and performing band-pass filtering and spatial filtering; the characteristic extraction comprises extracting delta, theta, alpha and beta; the characteristic analysis comprises time domain analysis and spectrum analysis.

Specifically, the supporting module 7 is used for carrying various modules, including the above-mentioned waveform generating module 1, power supply module 3, stimulation module 2, communication module 6, collecting module 9, and control module 4. Support module 7 and adopt the wear-type, the internal surface is provided with electrode unit 8, conveniently regulates and control the brain, and the user can directly wear support module 7 to the head, and electrode unit 8 can be automatic with the head laminating. Further, the support module 7 includes an integrated circuit portion 71; the integrated circuit part 71 mainly bears partial modules of the nerve regulation and control device and is integrated with a waveform generation module 1, a power supply module 3, a control module 4, a stimulation module 2, an acquisition module 9 and a communication module 6; the inner surface of the support module 7 fits the head of the user and the shape of the inner side is similar to the shape of the head. The support module 7 is made of light materials including plastics and the like, is low in cost, firm and weak in conductivity, does not interfere with signal transmission, and guarantees safety of users. The support module 7 further comprises a connecting part which is arranged on the inner surface of the support module 7 and is mainly used for connecting the electrode unit 8 to the support module 7, and after the support module 7 is connected with the head of a user, the electrode unit 8 is attached to the head of the user; the support module 7 is provided with a connecting part, the electrode unit 8 is connected with the support part through the connecting part, and the connecting part is detachably connected with the electrode unit 8. For example, a connection hole is formed in the connection portion, a protrusion is formed on the electrode unit 8, the electrode unit 8 is connected to the connection portion by inserting the protrusion into the connection hole, and thus the connection between the electrode unit 8 and the support module 7 is achieved, and the connection portion is provided with a plurality of connection holes, so that the electrode unit 8 is placed on the support module 7 in a diversified manner. For another example, the connecting portion is two arc-shaped rails, the two arc-shaped rails are arranged on the support module 7, the moving members are respectively arranged on the two arc-shaped rails and can move on the rails, the electrode unit 8 is connected with the moving members and moves along the arc-shaped rails on the head of the user, and therefore the effect of stimulating different parts is achieved. In addition, the support module 7 is further provided with a fastening part for fixing the support module 7 and the head of a user, so that the electrode unit 8 can be attached to the head more tightly without moving at will, and better fixing effect and regulation effect are achieved.

More specifically, the waveform generation module 1, the control module 4, the stimulation module 2, the power module 3, the acquisition module 9 and the communication module 6 are highly integrated and integrated on a circuit board, the circuit board is embedded on the support module 7 and specifically embedded into the integrated circuit part 71, the integrated circuit part 71 is arranged at the rear part of the support module 7, the regulation and control of the stimulation module 2 on the brain cannot be influenced, the size is small, and the wearability and the portability of the system are realized.

In a specific application, the hardware system may be installed first, and then the terminal 5 may be debugged. Firstly, a user selects a proper position to install a connecting piece, and the electrode unit can be regulated and controlled to the proper position; then, the user wears the support module 7 on the head, and the fastening part is arranged, so that the electrode unit is ensured to be in close contact with the head and cannot be loosened; after the supporting module 7 is installed, relevant parameters of signal waveforms, including frequency, amplitude, phase and the like, are set on the terminal 5, the number of channels needing to acquire electroencephalogram data is set on the terminal, the control module 41 can control the acquisition module 9 to acquire brain data and feed the electroencephalogram data back to the terminal, a user can check the electroencephalogram data in real time at the terminal so as to know the regulation and control effect, meanwhile, the terminal can adjust the waveform parameters according to the electroencephalogram data, and the first waveform signal and the second waveform signal are adjusted through a first instruction for guiding the control module, so that targeted adjustment is realized; the user can check the state of the hardware system including the electric quantity of the power module 3, the lead condition of the electrode unit 8 and the like at the terminal 5, and the operation is simple and the application is wide.

In the embodiment, two groups of sine waves with high precision, high frequency and low noise are generated by the waveform generating module 1, and a low-frequency waveform is coherently formed in the brain of a user, so that the deep neuron region of the brain is adjusted in a noninvasive operation manner, compared with the traditional deep nerve adjusting operation, the operation is not needed, the danger of the deep nerve adjusting operation is reduced, the adjusting region is wider, and the adjusting effect is better; the power module 3, the control module 4, the stimulation module 2, the conversion module and the communication module 6 are highly integrated and integrated on one circuit board, so that the size of the device is reduced; the waveform signal is subjected to waveform processing through the filtering unit and the constant current unit, so that the noise of the high-frequency signal is reduced, and the stimulation precision is improved; the support module 7 is arranged in a head-wearing manner to bear all modules, so that the device is portable, is made of light materials, is small in mass, conforms to the principle of ergonomics, is comfortable to wear, and can be widely applied to families from the field of scientific research and medical treatment; the supporting module 7 has a special structure, the first electrode unit 81 and the second electrode unit 82 can be detached and moved, so that diversified placement is realized, and brain neuron regions in different regions can be regulated and controlled; compared with the existing large-scale regulating and controlling equipment, the device provided by the embodiment has the advantages of low power consumption and low operation cost; the waveform generation module 1 adopts a direct digital frequency synthesizer, and compared with the traditional signal generator, the waveform generation module has low power consumption and simple power supply; an acquisition module 9 is added to acquire electroencephalogram data, so that the brain neuron region can be controlled in a targeted manner; the acquisition module 9 and the stimulation module 2 adopt two sets of electrodes, so that the regulation and the acquisition can be carried out simultaneously, electroencephalogram data can be acquired while the regulation and the control are carried out, and a user can check the regulation and control effect in real time at a terminal; the terminal 5 interacts with a user, the operation interface is simple, the deep regulation and control of the brain neuron region can be realized only by setting corresponding parameters, the operation is simple and convenient, and the method has universality and applicability.

Example 2

The embodiment provides a neural regulation method, which comprises the following steps: the control module 4 sends a first instruction to the waveform generation module 1, the waveform generation module 1 generates two groups of waveform signals according to the first instruction, the two groups of waveform signals are finally acted on the head of a user through the waveform processing of the two stimulation modules 2, and the two groups of waveform signals are coherent to form a new waveform signal on the head of the user; the control module 4 sends a second instruction to the acquisition module 9, and the acquisition module 9 acquires electroencephalogram data through the third electrode unit 83 according to the second instruction and feeds the processed electroencephalogram data back to the control module 4.

Specifically, the flow is as shown in figure 9 of the specification. The control module 4 sends a first instruction to the waveform generation module 1, the waveform generation module 1 analyzes the first instruction, extracts parameter characteristics including frequency, amplitude, phase and the like of a waveform signal to be generated, and generates a first waveform signal and a second waveform signal according to the parameter characteristics. Sending the first waveform signal to the first stimulation unit 21 and the second waveform signal to the second stimulation unit 22; the first stimulation unit 21 performs filtering processing on the first waveform signal through the first filtering unit 212, and the second stimulation unit 22 performs filtering processing on the second waveform signal through the second filtering unit 222, where the filtering processing includes performing signal amplification processing on the first waveform signal and the second waveform signal through a differential amplification circuit, and performing noise reduction processing on the first waveform signal and the second waveform signal through a low-pass filtering circuit; after the first waveform signal and the second waveform signal are filtered, the first waveform signal and the second waveform signal act on the brain of the user through the electrode unit 8, and a new waveform signal is formed in the brain of the user in a coherent mode. After the first waveform signal is subjected to filtering processing by the first filtering unit 212 in the first stimulation unit 21, the first waveform signal enters the first constant current unit 213 for constant current processing, and the first waveform signal subjected to constant current processing is transmitted to the first electrode unit 81 and acts on the brain of the user; the second waveform signal is filtered by the second filtering unit 222 in the second stimulation unit 22, and then enters the second constant current unit 223 for constant current processing, and the second waveform signal after constant current processing is transmitted to the second electrode unit 82 and acts on the brain of the user. The first waveform signal and the second waveform signal are coherent to form a new waveform signal in the brain of the user, and the regulation and control process is specifically shown in the attached figure 10 in the specification. The first waveform signal and the second waveform signal comprise sine waves, the frequency of the waveform signal generated by the waveform generation module 1 exceeds 10KHz, the newly generated waveform signal is a low-frequency signal, and the frequency is less than 10 KHz.

The control module 4 sends a second instruction to the acquisition module 9, the acquisition module 9 starts electroencephalogram data acquisition according to the second instruction, user electroencephalogram data are acquired through the third electrode unit 83, the electroencephalogram data are sent to the acquisition module 9, the acquisition module 9 performs data processing on the electroencephalogram data, the data processing includes sequentially performing signal amplification processing of the pre-amplification unit 91 and analog-to-digital conversion processing of the analog-to-digital conversion unit 92 on the electroencephalogram data, and the electroencephalogram data are converted into digital signals from analog signals. The electroencephalogram data after data processing is sent to the control module 4 by the acquisition module 9, the control module 4 sends the received electroencephalogram data to the terminal 5 through the communication module, the terminal 5 performs corresponding adjustment and sends an instruction to the control module 4, the control module 4 generates a new first instruction, and then adjusts the first waveform signal and the second waveform signal

Further, the nerve regulation method comprises the following specific steps: firstly, a user inputs parameter characteristics of a required waveform signal through a terminal 5, such as frequency, amplitude, phase and the like, the terminal 5 packages the parameter characteristics into an instruction and sends the instruction to a control module 4 through a communication module 6; then, the control module 4 receives and analyzes the instruction sent by the terminal 5, obtains the parameter characteristics of the waveform signal, and sends the parameter characteristics to the waveform generation module 1; then, the waveform generating module 1 generates two groups of corresponding high-frequency signal waveforms according to the parameter characteristics of the received waveform signals, and respectively sends the two groups of corresponding high-frequency signal waveforms to the two stimulation modules 2; then, the two stimulation modules 2 respectively perform signal processing on the two groups of waveform signals, firstly perform filtering and noise reduction through the filtering unit, then perform charge constancy through the constant current unit, and apply the processed waveform signals to the brain of the user through the electrode unit 8; the two groups of waveform signals are coherent to form a low-frequency waveform signal in the brain of the user, and the deep neuron region of the brain is adjusted in an envelope form. The electroencephalogram monitoring step comprises: firstly, a user inputs the channel number of electroencephalogram data to be acquired through a terminal 5, and the terminal 5 processes the information and then sends the information to a control module 4; the control module 4 receives the instruction sent by the terminal, starts the electrode of the third electrode unit 83 corresponding to the channel, and sends a second instruction to the acquisition module 9; after receiving the second instruction, the acquisition module 9 controls the third electrode unit 83 to acquire brain electroencephalogram data of the user, and sends the acquired brain electroencephalogram data to the acquisition module 9, and the acquisition module 9 performs data processing on the brain electroencephalogram data, specifically including amplification processing and analog-to-digital conversion processing; the acquisition module 9 sends the converted electroencephalogram data to the control module 4, and the control module 4 receives the electroencephalogram data and sends the electroencephalogram data to the terminal 5; the terminal 5 receives the electroencephalogram data sent by the control module 4, and performs characteristic processing on the electroencephalogram data, wherein the characteristic processing includes interference processing, characteristic extraction and characteristic analysis on the electroencephalogram signals in sequence, and specifically includes: the interference processing comprises removing eye movement interference and power frequency interference, and performing band-pass filtering and spatial filtering; the characteristic extraction comprises the steps of extracting the ratios of delta waves, theta waves, alpha waves, beta waves, SMR rhythms and various oscillation waves in the electroencephalogram data; the characteristic analysis comprises time domain analysis and spectrum analysis, specifically comprises time domain ERP analysis, frequency power spectrum analysis and time frequency analysis needing to use algorithms based on wavelets or EMD and the like; the brain state evaluation of the user is obtained through extraction and analysis of relevant features of electroencephalogram data, the terminal 5 generates different parameter features of waveform signals including frequency, strength and the like based on the brain state evaluation of the user, then sends the new parameter features to the control module 4, the control module 4 sends a new first instruction to the control waveform generation module 1, the control waveform generation module 1 generates a new waveform, the new waveform is acted on the brain of the user through the stimulation module 2, and the new waveform is formed in a coherent mode, so that a new round of regulation and control is achieved. The brain electrical data of the brain of the user can be accurately acquired by the acquisition module 9, the regulation and control effect is checked in real time through the terminal 5, and the deep neuron region of the brain is regulated and controlled in a targeted manner according to the brain electrical data. The whole regulation and control process is shown in the attached figure 11 of the specification.

The embodiment provides a neural regulation and control method, which realizes deep regulation and control of a brain neuron region by using the principle of waveform signal interference, collects user electroencephalogram data by means of an acquisition module 9, and performs targeted regulation and control according to the electroencephalogram data. Compared with the existing nerve regulation and control technology, the method can realize deep regulation and control of the brain neuron region without any invasive operation on a human body, can perform targeted regulation and control, has wide regulation and control range and good regulation and control effect, can be widely applied to families, and has good market prospect.

The invention provides a nerve regulation and control device and a method, which solve the defects of large volume, high cost, complex operation, invasive operation such as craniotomy and the like, incapability of regulating a deep brain neuron region, blind regulation and control and the like commonly existing in the prior art, can realize noninvasive deep brain neuron region regulation and control, can realize targeted regulation and control, and has the characteristics of small volume, low power consumption, portability, low operation cost, simplicity and convenience in operation and the like.

It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.

The above disclosure is only a few specific implementation scenarios of the present invention, however, the present invention is not limited thereto, and any variations that can be made by those skilled in the art are intended to fall within the scope of the present invention.

Claims

1. A nerve regulation and control device comprises a waveform generation module, a stimulation module, a power supply module and an electrode unit, wherein the power supply module supplies power to the device,

the electroencephalogram data acquisition system is characterized by further comprising a control module and an acquisition module, wherein the control module is respectively connected with the waveform generation module and the acquisition module and is used for sending a first instruction to the waveform generation module, sending a second instruction to the acquisition module and receiving electroencephalogram data sent by the acquisition module; the acquisition module is used for acquiring user electroencephalogram data according to the second instruction sent by the control module, processing the acquired electroencephalogram data and sending the electroencephalogram data after data processing to the control module;

the stimulation module comprises a first stimulation unit and a second stimulation unit, and the waveform generation module is respectively connected with the first stimulation unit and the second stimulation unit and is used for providing a first waveform signal for the first stimulation unit according to the first instruction sent by the control module and providing a second waveform signal for the second stimulation unit according to the first instruction sent by the control module;

the first waveform signal and the second waveform signal have coherence;

the electrode unit comprises a first electrode unit, a second electrode unit and a third electrode unit, the first electrode unit is connected with the first stimulation unit and used for acting a first waveform signal processed by the first stimulation unit on the brain of the user, the second electrode unit is connected with the second stimulation unit and used for acting a second waveform signal processed by the second stimulation unit on the brain of the user, and the third electrode unit is connected with the acquisition module and used for acquiring electroencephalogram data of the user; the electroencephalogram data sent to the control module by the acquisition module is used for guiding the first instruction so as to adjust the first waveform signal and the second waveform signal.

2. The device of claim 1, wherein the acquisition module comprises a pre-amplification unit for amplifying the electroencephalogram signal and an analog-to-digital conversion unit for analog-to-digital conversion, and the pre-amplification unit is connected with the analog-to-digital conversion unit;

the preamplification unit is further connected with the third electrode unit, and the analog-to-digital conversion unit is further connected with the control module.

3. The apparatus of claim 1 or 2, wherein the acquisition module is capable of acquiring multi-channel electroencephalogram data through the third electrode unit.

4. The device of claim 3, wherein the acquisition module acquires 8-channel electroencephalogram data through the third electrode unit;

the third electrode unit comprises a plurality of action electrodes for acquiring the 8-channel electroencephalogram data and a plurality of reference electrodes for reference.

5. The apparatus according to claim 1, wherein the first stimulation unit comprises a first filtering unit, the second stimulation unit comprises a second filtering unit, and the first filtering unit and the second filtering unit are both provided with a differential amplifying circuit for signal amplification and a low-pass filtering circuit for noise reduction;

the first filtering unit is used for filtering the first waveform signal through the differential amplifying circuit and the low-pass filtering circuit which are arranged by the first filtering unit, and the second filtering unit is used for filtering the second waveform signal through the differential amplifying circuit and the low-pass filtering circuit which are arranged by the second filtering unit.

6. The device according to claim 5, wherein the first stimulation unit further comprises a first constant current unit for performing constant current processing on the first waveform signal, and the second stimulation unit further comprises a second constant current unit for performing constant current processing on the second waveform signal;

the first constant current unit is respectively connected with the first filtering unit and the first electrode unit, and the second constant current unit is respectively connected with the second filtering unit and the second electrode unit.

7. The device of claim 6, wherein the first constant current unit and the second constant current unit are provided with current driving devices for improving current driving capability and controlling charge balance;

the current driving device comprises a constant current source circuit and an inverse constant current source circuit, wherein the phases of the constant current source circuit and the inverse constant current source circuit are opposite.

8. The device of claim 1, further comprising a terminal, wherein the terminal is connected to the control module and configured to send a control command to the control module and receive information sent by the control module, and the information includes electroencephalogram data sent to the control module by the acquisition module.

9. The device according to claim 8, further comprising a communication module, connected to the control module, for enabling communication between the terminal and the control module, wherein the terminal sends a control instruction to the control module through the communication module and receives information sent by the control module through the communication module.

10. The apparatus of claim 8 or 9, wherein the terminal is further configured to generate a parameter characteristic of the waveform signal based on the brain state assessment of the user, and to transmit the parameter characteristic to the control module via the communication module;

the brain state evaluation comprises the step that the terminal acquires brain electrical data sent by the control module.

11. The device of claim 1, wherein the power module comprises an electric energy storage unit, a voltage conversion unit and a charging unit, the electric energy storage unit is electrically connected with the voltage conversion unit, the charging unit is electrically connected with the electric energy storage unit, and the voltage conversion unit is provided with a voltage conversion circuit;

the voltage conversion unit is respectively connected with the waveform generation module and the stimulation module.

12. The device of any one of claims 1-11, further comprising a support module, an inner surface of the support module being adapted to engage a head of a user;

the electrode unit is disposed on an inner surface of the support module.

13. The apparatus of claim 12, wherein the support module comprises an integrated circuit portion;

the control module, the power module, the waveform generation module, the control module, the acquisition module, the stimulation module and the communication module are all integrated in the integrated circuit part.

14. The apparatus of claim 13, wherein the support module further comprises a connection portion;

the connecting parts are distributed on the inner surface of the supporting module and used for being connected with the electrode unit, and the electrode unit is detachably connected with the connecting parts.

15. A neuromodulation method for use in a neuromodulation device as claimed in any of claims 1 to 14, the method comprising:

generating a first instruction through the control module and transmitting the first instruction to the waveform generation module;

generating a first waveform signal and a second waveform signal according to the first instruction through the waveform generation module, sending the first waveform signal to the first stimulation unit, and sending the second waveform signal to the second stimulation unit;

performing signal processing on the first waveform signal through the first stimulation unit to obtain a first waveform signal after signal processing, and transmitting the first waveform signal to the first electrode unit;

performing signal processing on the second waveform signal through the second stimulation unit to obtain a second waveform signal after signal processing, and transmitting the second waveform signal to the second electrode unit;

the first electrode unit is used for applying the first waveform signal after signal processing to the brain of a user, the second electrode unit is used for applying the second waveform signal after signal processing to the brain of the user, and the first waveform signal after signal processing and the second waveform signal after signal processing are coherent in the brain of the user to form a new waveform signal;

generating the second instruction through the control module, and sending the second instruction to the acquisition module;

acquiring electroencephalogram data according to the second instruction through the acquisition module, processing the electroencephalogram data acquired by the third electrode unit to obtain electroencephalogram data after data processing, and sending the electroencephalogram data to the control module;

the electroencephalogram data sent to the control module through the acquisition module are used for guiding the first instruction so as to adjust the first waveform signal and the second waveform signal.

16. The method of claim 15, wherein the first and second waveform signals comprise sine wave signals, and wherein the waveform generation module generates the waveform signals at a frequency in excess of 10 KHz.

17. The method according to claim 15, wherein the first stimulation unit comprises a first filtering unit and a first constant current unit, and the second stimulation unit comprises a second filtering unit and a second constant current unit;

the first waveform signal enters the first constant current unit for constant current processing after being filtered by the first filtering unit in the first stimulating unit;

and the second waveform signal enters the second constant current unit for constant current processing after being filtered by the second filtering unit in the second stimulation unit.

18. The method of claim 15, wherein the acquisition module comprises a pre-amplification unit and an analog-to-digital conversion unit;

the electroencephalogram data collected by the third electrode unit are amplified by the pre-amplification unit in the collection module, then enter the analog-to-digital conversion unit for analog-to-digital conversion, and the electroencephalogram data after analog-to-digital conversion are transmitted to the control module.

19. The method of claim 15, wherein the apparatus further comprises a terminal and a communication module;

after the control module sends the electroencephalogram data to the terminal, the terminal performs feature processing on the electroencephalogram data to obtain the brain state evaluation of the user, generates parameter features of waveform signals according to the brain state evaluation of the user, and sends the parameter features to the control module through the communication module.

20. The method of claim 15,

the characteristic processing in the step of carrying out the characteristic processing on the electroencephalogram data by the terminal comprises the steps of carrying out interference processing, characteristic extraction and characteristic analysis on the electroencephalogram data in sequence;

the interference processing comprises removing eye movement interference and power frequency interference, and performing band-pass filtering and spatial filtering;

the feature extraction comprises extracting delta, theta, alpha and beta;

the characteristic analysis comprises time domain analysis and spectrum analysis.