Transcranial stimulation discharge and electroencephalogram acquisition system for simulating acupuncture and moxibustion

Abstract

The invention discloses a transcranial stimulation discharge and electroencephalogram acquisition system for simulating acupuncture and moxibustion. The system comprises an electroencephalogram acquisition module, a multi-mode traditional Chinese medicine large language model and a transcranial stimulation discharge module, the electroencephalogram acquisition module is used for acquiring electroencephalogram signals and somatosensory expression voice information of a user, performing preprocessing and feature extraction on the electroencephalogram signals of the user to generate an electroencephalogram of the user, and performing textualization processing on the somatosensory expression voice information of the user to generate text information; the multi-modal traditional Chinese medicine large language model is used for performing traditional Chinese medicine pathology analysis in combination with the electroencephalogram and the text information of the user to generate a treatment suggestion text; and the transcranial stimulation discharge system is used for generating a stimulation signal according to the treatment suggestion text and applying the stimulation signal to the second electrode to execute transcranial stimulation discharge so as to simulate acupuncture treatment. Closed-loop diagnosis and treatment of noninvasive detection, intelligent analysis and precise regulation can be realized, and the problems that traditional Chinese medicine treatment depends on experience and the curative effect is difficult to quantify are solved.

Description

Technical Field

[0001] The present invention relates to the technical field of brain-computer interface, and in particular to a transcranial stimulation discharge and EEG acquisition system for simulating acupuncture. Background Art

[0002] Currently, the main solutions to health problems are medication and physical therapy. Traditional physical therapy, represented by acupuncture, has two major problems: acupuncture and other therapies rely on physician experience and lack objective quantitative standards; and traditional treatments cannot be adjusted in real time based on physiological feedback.

[0003] Although transcranial electrical stimulation can non-invasively regulate brain activity, it lacks in-depth integration with traditional Chinese medicine theory, and has not established a closed-loop association between EEG signals, symptom descriptions, and treatment parameters.

[0004] In summary, the existing technology has technical problems such as the inability to achieve non-invasive detection and a single treatment method. Summary of the Invention

[0005] In view of the above-mentioned deficiencies in the prior art, the present invention provides a transcranial stimulation discharge and EEG acquisition system for simulating acupuncture.

[0006] In order to achieve the above-mentioned object of the invention, the technical solution adopted by the present invention is: A transcranial stimulation discharge and EEG acquisition system simulating acupuncture, comprising an EEG acquisition module, a multimodal TCM language model, and a transcranial stimulation discharge module; The first input end of the EEG acquisition module is connected to the first electrode placed in the EEG signal acquisition area of ​​the user's skull, and the second input end of the EEG acquisition module is connected to the microphone; the output end of the EEG acquisition module is connected to the input end of the multimodal Chinese medicine language model; the EEG acquisition module is used to collect the user's EEG signal and somatosensory expression voice information, preprocess and extract features of the user's EEG signal to generate the user's electroencephalogram, and text-process the user's somatosensory expression voice information to generate text information; The output of the multimodal TCM language model is connected to the input of the transcranial stimulation discharge module; the multimodal TCM language model is used to combine the user's EEG and text information to perform TCM pathology analysis to generate treatment recommendation text; The output end of the transcranial stimulation discharge module is connected to a second electrode placed on the target acupuncture point on the user's skull; the transcranial stimulation discharge system is used to generate a stimulation signal according to the treatment recommendation text, and apply the stimulation signal to the second electrode to perform transcranial stimulation discharge to simulate acupuncture treatment.

[0007] Furthermore, in the EEG acquisition module, the user's EEG signal is preprocessed and feature extracted to obtain the user's EEG. The specific process is: the user's EEG signal is amplified, filtered and digital-to-analog converted to obtain the preprocessed EEG signal; the preprocessed EEG signal is feature extracted to identify specific EEG feature signals related to TCM pathology, and the user's EEG is generated based on the specific EEG feature signals related to TCM pathology.

[0008] Furthermore, in the EEG acquisition module, the user's somatosensory expression voice information is converted into text to obtain text information, including the following steps: A1. Convert the user's physical sensation description into text data using the DeepSpeech2 automatic speech recognition model. A2. Preprocess the converted text data using retrieval-enhanced generative techniques, including word segmentation and stop word removal. Then, use vectorized indexing to map the preprocessed text data into a high-dimensional vector space. A3. Use the Qwen Chinese encoder to semantically encode the text data mapped to the high-dimensional vector space and construct a refined semantic vector representation to obtain text information.

[0009] Furthermore, in the multimodal TCM language model, TCM pathology analysis is performed in combination with the user's EEG and text information to generate treatment recommendation text. The specific process is: based on the user's EEG historical data and text information historical data, TCM pathology analysis is performed to obtain TCM diagnosis text historical data, and a graphic training data set is constructed based on the user's EEG historical data, text information historical data and TCM diagnosis text historical data; the graphic training data set is used to train the LLAVA multimodal model; the real-time user's EEG and text information are input into the trained LLAVA multimodal model for inference to generate treatment recommendation text.

[0010] Furthermore, the transcranial stimulation discharge module includes an intelligent control submodule and a constant current source circuit; the input end of the intelligent control submodule serves as the input end of the transcranial stimulation discharge module, and is connected to the output end of the multimodal Chinese medicine language model through the serial communication interface USB, and the output end of the intelligent control submodule is connected to the input end of the constant current source circuit through the digital interface I2C; the intelligent control submodule is used to generate configuration instructions for stimulation parameters based on the treatment recommendation text, and transmit them to the constant current source circuit; the constant current source circuit is used to adjust the working state of the constant current source circuit according to the configuration instructions for the stimulation parameters to generate a stimulation signal, and apply the stimulation signal to the second electrode to perform transcranial stimulation discharge to simulate acupuncture treatment.

[0011] Furthermore, the intelligent control submodule is also connected to the EEG acquisition module through a data transmission channel to receive real-time EEG feedback signals collected by the EEG acquisition module, and dynamically adjusts the configuration instructions of the stimulation parameters based on the real-time EEG feedback signals and the preset target state to achieve closed-loop control of the treatment process.

[0012] Furthermore, the stimulation parameters are specifically current intensity, stimulation frequency or stimulation duration.

[0013] Furthermore, a first electrode is placed in the EEG signal collection area on the user's skull, and the first electrode is used to input the user's EEG signal; a second electrode is placed at a target acupuncture point on the user's skull, and the second electrode is used to apply positive pulse voltage and negative pulse voltage to the target acupuncture point on the user's skull.

[0014] The present invention has the following beneficial effects: The present invention constructs an EEG acquisition module, a multimodal Chinese medicine language model and a transcranial stimulation discharge module. The EEG acquisition module is used to collect the user's EEG signals and somatosensory expression voice information, preprocess and extract features of the user's EEG signals to generate the user's EEG, and textually process the user's somatosensory expression voice information to generate text information. The multimodal Chinese medicine language model is used to combine the user's EEG and text information to perform Chinese medicine pathology analysis to generate a treatment recommendation text. The transcranial stimulation discharge system is used to generate a stimulation signal according to the treatment recommendation text, and apply the stimulation signal to the second electrode to perform transcranial stimulation discharge to simulate acupuncture treatment. The entire system can realize closed-loop diagnosis and treatment with non-invasive detection, intelligent analysis and precise control, solving the problem that traditional Chinese medicine treatment relies on experience and the efficacy is difficult to quantify. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 This is a schematic diagram of the structure of a transcranial stimulation discharge and EEG acquisition system that simulates acupuncture; Figure 2 This is a schematic diagram of the overall workflow of a specific embodiment of the present invention; Figure 3 This is a schematic diagram of the workflow of the EEG acquisition module in a specific embodiment of the present invention. DETAILED DESCRIPTION

[0016] The specific embodiments of the present invention are described below to facilitate understanding of the present invention by those skilled in the art. However, it should be clear that the present invention is not limited to the scope of the specific embodiments. For those skilled in the art, as long as various changes are within the spirit and scope of the present invention as defined and determined by the appended claims, these changes are obvious, and all inventions and creations utilizing the concepts of the present invention are protected.

[0017] like Figure 1As shown, a transcranial stimulation discharge and EEG acquisition system for simulating acupuncture includes an EEG acquisition module, a multimodal Chinese medicine language model, and a transcranial stimulation discharge module.

[0018] In an optional embodiment of the present invention, the first input end of the EEG acquisition module is connected to the first electrode placed in the EEG signal acquisition area of ​​the user's skull, and the second input end of the EEG acquisition module is connected to the microphone; the output end of the EEG acquisition module is connected to the input end of the multimodal Chinese medicine language model; the EEG acquisition module is used to collect the user's EEG signals and somatosensory expression voice information, preprocess and feature extract the user's EEG signals to generate the user's electroencephalogram, and textually process the user's somatosensory expression voice information to generate text information.

[0019] In the EEG acquisition module, the user's EEG signals are preprocessed and feature extracted to obtain the user's EEG. The specific process is: the user's EEG signals are amplified, filtered and digital-to-analog converted to obtain the preprocessed EEG signals; the preprocessed EEG signals are feature extracted to identify specific EEG feature signals related to TCM pathology, and the user's EEG is generated based on the specific EEG feature signals related to TCM pathology.

[0020] Specifically, the EEG acquisition module acquires at least one of the following EEG signals of the user according to the first electrode: delta wave, theta wave, alpha wave, beta wave or gamma wave.

[0021] The present invention amplifies, filters and digital-to-analog converts the user's EEG signal to obtain a preprocessed EEG signal, aiming to remove noise interference, enhance useful signal components, and ensure the accuracy of subsequent analysis. The specific method is to first use an operational amplifier to amplify the user's EEG signal, then use independent component analysis and a low-pass filter to filter the amplified user's EEG signal, and then use an AD converter to perform digital-to-analog conversion on the filtered user's EEG signal.

[0022] In the EEG acquisition module, the user's somatosensory expression voice information is converted into text to obtain text information, including the following steps: A1. Convert the user's physical sensation description into text data using the DeepSpeech2 automatic speech recognition model. Specifically, this step uses a deep learning algorithm to extract acoustic features from the audio signal and convert them into corresponding Chinese characters or word sequences.

[0023] A2. Preprocess the converted text data using retrieval-enhanced generative techniques, including word segmentation and stop word removal. Then, use vectorized indexing to map the preprocessed text data into a high-dimensional vector space. Specifically, the present invention adopts a vectorized indexing method, specifically the TF-IDF, Word2Vec or BERT model in the prior art, to map the preprocessed text data into a high-dimensional vector space.

[0024] A3. Use the Qwen Chinese encoder to semantically encode the text data mapped to the high-dimensional vector space and construct a refined semantic vector representation to obtain text information.

[0025] This step helps capture deep semantic relationships in the text and improve the matching accuracy with the TCM pathology knowledge graph or other related text data.

[0026] The present invention performs feature extraction on the preprocessed EEG signals, such as calculating the energy ratio of α waves and β waves or the power spectral density of a specific frequency band, to identify specific EEG characteristic signals related to TCM pathologies. These specific EEG characteristic signals related to TCM pathologies can effectively reflect the current functional state of the brain.

[0027] In an optional embodiment of the present invention, the output end of the multimodal TCM language model is connected to the input end of the transcranial stimulation discharge module; the multimodal TCM language model is used to combine the user's electroencephalogram and text information to perform TCM pathology analysis to generate a treatment recommendation text.

[0028] In the multimodal TCM language model, TCM pathology analysis is performed in combination with the user's EEG and text information to generate treatment recommendation text. The specific process is: based on the user's EEG historical data and text information historical data, TCM pathology analysis is performed to obtain TCM diagnosis text historical data, and a graphic training dataset is constructed based on the user's EEG historical data, text information historical data and TCM diagnosis text historical data; the graphic training dataset is used to train the LLAVA multimodal model; the real-time user's EEG and text information are input into the trained LLAVA multimodal model for inference to generate treatment recommendation text.

[0029] In an optional embodiment of the present invention, the output end of the transcranial stimulation discharge module is connected to a second electrode placed on a target acupuncture point on the user's skull; the transcranial stimulation discharge system is used to generate a stimulation signal based on the treatment recommendation text, and apply the stimulation signal to the second electrode to perform transcranial stimulation discharge to simulate acupuncture treatment.

[0030] Specifically, the second electrode is used to apply positive pulse voltage and negative pulse voltage to the target acupuncture point on the user's skull.

[0031] The transcranial stimulation discharge module includes an intelligent control submodule and a constant current source circuit; the input end of the intelligent control submodule serves as the input end of the transcranial stimulation discharge module, and is connected to the output end of the multimodal Chinese medicine language model through the serial communication interface USB, and the output end of the intelligent control submodule is connected to the input end of the constant current source circuit through the digital interface I2C; the intelligent control submodule is used to generate configuration instructions for stimulation parameters based on the treatment recommendation text, and transmit them to the constant current source circuit; the constant current source circuit is used to adjust the working state of the constant current source circuit according to the configuration instructions for the stimulation parameters to generate a stimulation signal, and apply the stimulation signal to the second electrode to perform transcranial stimulation discharge to simulate acupuncture treatment.

[0032] Specifically, the operational amplifier in a constant current source circuit compares a set reference voltage with the actual voltage measured through a feedback resistor, adjusting the conduction level of the transistor to maintain a constant output current. The set reference voltage determines the desired current value, while the feedback resistor converts the actual current into a voltage signal for comparison by the operational amplifier. As the load changes, the transistor automatically adjusts to offset the change, ensuring a stable output current.

[0033] The intelligent control submodule is also connected to the EEG acquisition module through a data transmission channel to receive real-time EEG feedback signals collected by the EEG acquisition module, and dynamically adjusts the configuration instructions of the stimulation parameters based on the real-time EEG feedback signals and the preset target state to achieve closed-loop control of the treatment process.

[0034] Specifically, to ensure greater data reliability and real-time performance, the present invention utilizes a USB interface as the data transmission channel between the intelligent control submodule and the EEG acquisition module. In this configuration, the EEG acquisition module pre-processes the real-time EEG feedback signal and then transmits it directly to the intelligent control submodule via the USB interface. This approach not only provides a stable and high-speed data transmission path but also effectively reduces external interference, ensuring signal integrity and accuracy.

[0035] The intelligent control submodule dynamically adjusts the configuration instructions of the stimulation parameters based on the real-time EEG feedback signal and the preset target state, including the following steps: first, the received real-time EEG feedback signal needs to be preprocessed, including filtering, denoising and other operations to remove components such as myoelectric interference and power frequency noise that may affect the accuracy of the analysis; then, the preprocessed real-time EEG feedback signal is subjected to feature extraction, such as calculating the energy ratio of α waves and β waves or the power spectral density of a specific frequency band. These features can effectively reflect the current functional state of the brain; next, the intelligent control submodule compares the extracted real-time EEG feedback signal features with the preset target state, which is determined by the multimodal Chinese medicine. The treatment recommendation text generated by the large language model is usually defined as the ideal EEG pattern that is expected to be achieved (the proportional range of energy in a specific frequency band); based on the above comparison results, a proportional-integral-differential controller is used to dynamically adjust the configuration instructions of the stimulation parameters, and the configuration instructions of the dynamically adjusted stimulation parameters are transmitted to the constant current source circuit, its output characteristics are updated to generate a new stimulation signal, and the EEG feedback signal is continuously monitored during the stimulation process to form a closed-loop control system, in which the proportional term quickly adjusts the output according to the current error, the integral term is used to eliminate steady-state errors, and the differential term prevents overshoot and oscillation by predicting the changing trend of the error, thereby achieving precise control of current intensity, stimulation frequency or stimulation duration.

[0036] The stimulation parameters are specifically current intensity, stimulation frequency or stimulation duration.

[0037] The system dynamically adjusts stimulation parameters through an intelligent control submodule. It employs a PID control algorithm, implementing closed-loop regulation based on real-time EEG feedback signals to minimize the error between the actual EEG state and the target treatment pattern. The PID controller precisely controls the neuromodulation process by adjusting the current intensity (range: 0.5–2.0 mA), stimulation frequency (range: 1–20 Hz), and stimulation duration (range: 10–30 minutes). The proportional gain of the PID controller is set between 0.1–1.0 to rapidly adjust the output based on the current error; the integral gain is set between 0.01–0.1 to gradually eliminate the steady-state error over time; and the differential gain is set between 0.001–0.01 to predict the error trend and prevent overshoot and oscillation. This multi-parameter coordinated adjustment mechanism ensures that the system dynamically optimizes the stimulation strategy based on the patient's real-time brain state, enhancing the safety and effectiveness of treatment.

[0038] like Figure 2As shown, a schematic diagram of the overall workflow of a specific embodiment of the present invention is provided. The EEG acquisition module is responsible for acquiring and processing EEG signals, including electrodes, amplifiers, acquisition gating switches, AD conversion units and data processing units. The transcranial magnetic stimulation discharge module includes an intelligent control submodule and a constant current source circuit; the constant current source circuit includes a circuit recovery switch, a current stimulation voltage monitoring unit, a neural stimulation generator, a positive current source generating unit, a negative current source generating unit, a positive current gating switch and a negative current gating switch. The charge recovery switch is used to maintain the charge balance of neurons before and after stimulation, and the current stimulation voltage monitoring unit is used to monitor and adjust the stimulation parameters to ensure a constant stimulation current output. The multimodal Chinese medicine language model is at the core of the system, which is used to combine the user's EEG and text information to perform Chinese medicine pathology analysis to generate a treatment recommendation text.

[0039] like Figure 3 As shown, a schematic diagram of the work flow of the EEG acquisition module of a specific embodiment of the present invention is provided. The EEG acquisition module includes two input channels: the first input end starts from the first electrode, collects the user's EEG signal and sends it to the amplifier for signal amplification, and then removes noise interference through filtering to retain the effective signal within the target frequency range; the sampling selection switch periodically samples the signal at a set frequency to ensure that the signal is stable during the AD conversion process, and then uses the AD converter to perform digital-to-analog conversion on the filtered user's EEG signal to obtain the pre-processed EEG signal; the pre-processed EEG signal is feature extracted to identify the characteristics related to Chinese medicine pathology The system determines the EEG characteristic signals and generates the user's EEG based on the specific EEG characteristic signals related to TCM pathology; at the same time, the second input end collects the user's somatosensory expression voice information through the microphone. The voice signal is converted into text data by the DeepSpeech2 automatic speech recognition model, and then undergoes preprocessing such as word segmentation and stop word removal. It is vectorized and indexed using methods such as TF-IDF and BERT. Finally, the Qwen Chinese encoder is used to semantically encode the text data mapped to the high-dimensional vector space, and a refined semantic vector representation is constructed to obtain text information. The two signals are multimodally fused in the multimodal TCM language model.

[0040] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowcharts and / or block diagrams, as well as combinations of processes and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowcharts and / or block diagrams. Figure 1a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0041] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0042] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0043] Specific embodiments are used in the present invention to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core ideas. At the same time, for those skilled in the art, according to the ideas of the present invention, there may be changes in the specific implementation methods and application scopes. In summary, the contents of this specification should not be understood as limiting the present invention.

[0044] Those skilled in the art will appreciate that the embodiments described herein are intended to help readers understand the principles of the present invention, and it should be understood that the scope of protection of the present invention is not limited to such specific descriptions and embodiments. Those skilled in the art can make various other specific variations and combinations based on the technical teachings disclosed in the present invention without departing from the essence of the present invention, and such variations and combinations are still within the scope of protection of the present invention.

Claims

1. A transcranial stimulation discharge and EEG acquisition system simulating acupuncture, characterized in that: Including EEG acquisition module, multimodal TCM language model, and transcranial stimulation discharge module; The first input end of the EEG acquisition module is connected to the first electrode placed in the EEG signal acquisition area of ​​the user's skull, and the second input end of the EEG acquisition module is connected to the microphone; the output end of the EEG acquisition module is connected to the input end of the multimodal Chinese medicine language model; the EEG acquisition module is used to collect the user's EEG signal and somatosensory expression voice information, preprocess and extract features of the user's EEG signal to generate the user's electroencephalogram, and text-process the user's somatosensory expression voice information to generate text information; The output of the multimodal TCM language model is connected to the input of the transcranial stimulation discharge module; the multimodal TCM language model is used to combine the user's EEG and text information to perform TCM pathology analysis to generate treatment recommendation text; The output end of the transcranial stimulation discharge module is connected to a second electrode placed at a target acupuncture point on the user's skull; The transcranial stimulation discharge system is used to generate a stimulation signal according to the treatment recommendation text, and apply the stimulation signal to the second electrode to perform transcranial stimulation discharge to simulate acupuncture treatment.

2. The transcranial stimulation discharge and EEG acquisition system for simulating acupuncture according to claim 1, characterized in that: In the EEG acquisition module, the user's EEG signal is preprocessed and feature extracted to obtain the user's EEG. The specific process is: the user's EEG signal is amplified, filtered and digital-to-analog converted to obtain the preprocessed EEG signal; Feature extraction is performed on the preprocessed EEG signal to identify specific EEG feature signals related to TCM pathology, and the user's EEG is generated based on the specific EEG feature signals related to TCM pathology.

3. The transcranial stimulation discharge and EEG acquisition system for simulating acupuncture according to claim 1, characterized in that: In the EEG acquisition module, the user's somatosensory expression voice information is converted into text to obtain text information, including the following steps: A1. Convert the user's physical sensation description into text data using the DeepSpeech2 automatic speech recognition model. A2. Preprocess the converted text data using retrieval-enhanced generative techniques, including word segmentation and stop word removal. Then, use vectorized indexing to map the preprocessed text data into a high-dimensional vector space. A3. Use the Qwen Chinese encoder to semantically encode the text data mapped to the high-dimensional vector space and construct a refined semantic vector representation to obtain text information.

4. The transcranial stimulation discharge and EEG acquisition system for simulating acupuncture according to claim 1, characterized in that: In the multimodal TCM language model, TCM pathology analysis is performed in combination with the user's EEG and text information to generate treatment recommendation text. The specific process is: based on the user's EEG historical data and text information historical data, TCM pathology analysis is performed to obtain TCM diagnosis text historical data, and a graphic training dataset is constructed based on the user's EEG historical data, text information historical data and TCM diagnosis text historical data; the graphic training dataset is used to train the LLAVA multimodal model; the real-time user's EEG and text information are input into the trained LLAVA multimodal model for inference to generate treatment recommendation text.

5. The transcranial stimulation discharge and EEG acquisition system for simulating acupuncture according to claim 1, characterized in that: The transcranial stimulation discharge module includes an intelligent control submodule and a constant current source circuit; the input end of the intelligent control submodule serves as the input end of the transcranial stimulation discharge module and is connected to the output end of the multimodal Chinese medicine language model via a serial communication interface USB, and the output end of the intelligent control submodule is connected to the input end of the constant current source circuit via a digital interface I2C; The intelligent control submodule is used to generate configuration instructions for stimulation parameters based on the treatment recommendation text and transmit them to the constant current source circuit; the constant current source circuit is used to adjust the working state of the constant current source circuit according to the configuration instructions for the stimulation parameters to generate a stimulation signal, and apply the stimulation signal to the second electrode to perform transcranial stimulation discharge to simulate acupuncture treatment.

6. The transcranial stimulation discharge and EEG acquisition system for simulating acupuncture according to claim 5, characterized in that: The intelligent control submodule is also connected to the EEG acquisition module through a data transmission channel to receive real-time EEG feedback signals collected by the EEG acquisition module, and dynamically adjusts the configuration instructions of the stimulation parameters based on the real-time EEG feedback signals and the preset target state to achieve closed-loop control of the treatment process.

7. The transcranial stimulation discharge and EEG acquisition system for simulating acupuncture according to claim 5, characterized in that: The stimulation parameters are specifically current intensity, stimulation frequency or stimulation duration.

Images