Intelligent nerve regulation and control system and method based on acoustic-magnetic pairing

Abstract

The invention discloses an intelligent nerve regulation and control system and method based on acoustic-magnetic pairing. The system comprises an upper computer, a lower computer, a sound stimulation module, a TMS communication interface module and a safety monitoring module. According to the intelligent nerve regulation and control system based on acoustic-magnetic pairing, through cooperative work of the upper computer and the lower computer, accurate pairing of TMS and sound stimulation and parameter self-adaptive intelligent control are achieved, meanwhile, the functions of random delay generation, automatic parameter adjustment and real-time data collection are integrated, multiple communication interfaces are supported, and the intelligent nerve regulation and control system based on acoustic-magnetic pairing is suitable for popularization and application. And seamless butt joint with commercially available TMS equipment is ensured. According to the intelligent nerve regulation and control system based on acoustic-magnetic pairing, the time sequence precision and the regulation and control effect of multi-mode nerve stimulation are improved, meanwhile, the stability of the treatment process and the safety of a patient are guaranteed through a safety monitoring mechanism, and a solid technical basis is provided for clinical personalized nerve regulation and control treatment.

Description

Technical Field

[0001] The present invention belongs to the technical field of neural regulation devices, and specifically relates to an intelligent neural regulation system and method based on acoustic-magnetic pairing. Background Art

[0002] With the advancement of neuromodulation technology, achieving high-precision synchronization and automated data acquisition across multimodal stimulation devices has become a research hotspot. Traditional devices typically operate independently, lacking intelligent coordinated control. This leads to inaccurate stimulation timing and incomplete data recording, compromising therapeutic efficacy and safety. Currently, there is no comprehensive solution for multimodal coordinated stimulation, real-time parameter adjustment, and data security management.

[0003] Therefore, there is an urgent need to develop a regulatory system that can not only achieve precise pairing control of transcranial magnetic stimulation (TMS) and sound stimulation, but also realize real-time data acquisition, automatic parameter adjustment and safety monitoring, so as to provide reliable technical support for clinical neuroregulatory treatment and personalized treatment plan formulation. Summary of the Invention

[0004] The present invention is proposed to address the above-mentioned shortcomings, and its purpose is to provide an intelligent neuromodulation system and method based on acoustic-magnetic pairing. The system realizes the precise pairing and intelligent control of TMS and sound stimulation through the collaborative work of the upper computer and the lower computer, providing reliable technical support for clinical neuromodulation treatment and the formulation of personalized treatment plans.

[0005] In order to achieve the above purpose, the present invention adopts the following scheme: An intelligent neural control system based on acoustic-magnetic pairing, comprising a host computer, a slave computer, a sound stimulation module, a TMS communication interface module and a safety monitoring module; The upper computer is used to set the multimodal neural stimulation scheme and control parameters, and issue instructions to the lower computer according to the set stimulation scheme and control parameters; it also receives and analyzes the real-time data feedback from the lower computer and adjusts the subsequent parameters in a closed-loop manner; The lower computer is used to receive instructions from the upper computer, synchronously trigger the sound stimulation module and the TMS communication interface module, perform paired stimulation consisting of sound stimulation and TMS stimulation, and collect real-time data and feed it back to the upper computer; The sound stimulation module responds to the trigger of the lower computer and outputs sound stimulation; The TMS communication interface module responds to the trigger of the lower computer, sends trigger instructions to the TMS device, outputs TMS stimulation, and receives feedback information from the TMS device; The safety monitoring module is used to detect abnormalities in stimulation output or collected data, immediately interrupt the stimulation process when an abnormality occurs, and send an alarm signal to the host computer.

[0006] Furthermore, the host computer is configured with a graphical interface, and the multimodal neural stimulation scheme is set through the graphical interface, including: During the baseline acquisition phase, the lower computer was controlled to perform preliminary TMS and sound stimulation and collect neural response data to determine the initial TMS stimulation intensity; In the delay parameter optimization phase, paired stimulation consisting of sound stimulation and TMS stimulation was performed in sequence according to the preset delay scheme to determine the delay parameters that induced the best neural effect; During the personalized intervention phase, control parameters are updated based on the delay parameter optimization results, subsequent stimulation strategies are adjusted, and feedback data is continuously monitored to adjust the stimulation intensity and delay plan in real time.

[0007] Furthermore, the control parameters set by the host computer include TMS stimulation intensity, sound stimulation parameters, delay scheme, number of stimulations, stimulation interval and rest time between stages, and are sent to the slave computer through the serial port.

[0008] Furthermore, the lower computer includes a timing control module, and the timing control module synchronously triggers the sound stimulation module and the TMS communication interface module respectively through a hardware timer.

[0009] Furthermore, the lower computer also includes a data acquisition module, which collects the triggering time, delay parameters, actual TMS output intensity and surface electromyography (sEMG) data of each stimulation in real time, and feeds the real-time data back to the upper computer.

[0010] Furthermore, the host computer includes a data analysis module, which dynamically adjusts subsequent stimulation parameters by performing statistics and comparison on the real-time data fed back by the slave computer, and records and stores all data in the entire process in real time.

[0011] Furthermore, a random delay was set between the execution of two adjacent paired stimulations consisting of sound stimulation and TMS stimulation.

[0012] Furthermore, the sound stimulation module includes a digital audio signal processor, a digital-to-analog converter, a power amplifier and noise-canceling headphones; the digital audio signal processor is used to generate a digital signal with preset parameters, which is converted into an analog signal by the digital-to-analog converter, amplified by the power amplifier, and output through the noise-canceling headphones.

[0013] Furthermore, the TMS communication interface module is connected to the TMS device via an integrated serial communication interface, parallel communication interface or TTL level trigger interface, sends a trigger instruction to the TMS device, and receives feedback information from the TMS device.

[0014] The present invention also provides a method for performing neural regulation using the above system, comprising the following steps: Set the multimodal neural stimulation scheme and control parameters in the upper computer, and send the set stimulation scheme and control parameters to the lower computer; The lower computer receives instructions from the upper computer, synchronously triggers the sound stimulation module and the TMS communication interface module, executes paired stimulation consisting of sound stimulation and TMS stimulation, and inserts a delay parameter generated by a random function between each stimulation. It synchronously collects the trigger time, delay parameter, actual TMS output intensity and sEMG data of each stimulation in real time, and feeds the real-time data back to the upper computer. The upper computer performs statistical analysis and comparison on the real-time data fed back by the lower computer, and dynamically adjusts subsequent parameters based on the analysis results to achieve closed-loop neural control; The safety monitoring module continuously monitors the system operation status and collected data. When it detects abnormal stimulation output or abnormal collected data, it automatically issues an alarm signal and terminates the stimulation process.

[0015] Compared with the prior art, the present invention has the following beneficial effects: First, the present invention's intelligent neuromodulation system, based on acoustic-magnetic pairing, achieves precise pairing and intelligent control of TMS and sound stimulation through the collaborative operation of a host and slave computers. The system integrates random delay generation, automatic parameter adjustment, and real-time data acquisition capabilities, and supports multiple communication interfaces (serial, parallel, and TTL direct triggering), ensuring seamless integration with commercially available TMS devices. This system not only improves the timing accuracy and control effectiveness of multimodal neurostimulation but also ensures treatment stability and patient safety through safety monitoring mechanisms, providing a solid technical foundation for personalized clinical neuromodulation therapy.

[0016] Secondly, the present invention can achieve precise timing pairing, significantly enhance the synergistic effect of stimulation, and trigger TMS and sound stimulation synchronously at the millisecond level through the hardware timer of the lower computer. It also supports inserting random delays between two adjacent paired stimulations, which can break neural adaptation without interrupting rhythmicity, significantly improve the efficiency of cortical plasticity regulation, and enhance stimulation reproducibility and treatment consistency through precise pairing.

[0017] Third, the present invention enables closed-loop adaptive control, enabling personalized treatment. The host computer receives and analyzes data such as the actual sEMG and TMS output intensity in real time, dynamically adjusting subsequent stimulation intensity, delay schedule, and frequency based on neural responses, achieving "measurement-while-adjustment" closed-loop optimization. This mechanism can identify individual thresholds and fine-tune parameters during a single treatment, facilitating the rapid development of personalized intervention plans, improving efficacy, and shortening clinical evaluation cycles.

[0018] Fourthly, the present invention can realize the visual configuration of multimodal processes and improve clinical operability. The graphical interface splits the three stages of baseline acquisition, delay parameter optimization, and personalized intervention into draggable process nodes. Medical staff can flexibly combine and reuse stimulation schemes without programming, lowering the threshold for use.

[0019] Fifth, the present invention uses an independent safety monitoring module to monitor the dual thresholds of stimulation output and physiological signals in real time; once excessive TMS output, hardware failure or abnormal physiological indicators are detected, the trigger path is immediately cut off and an alarm is sent to the host computer. The multi-level fault response mechanism (hardware interrupt + software alarm) meets the high safety and reliability requirements of clinical equipment.

[0020] In summary, compared with the existing technology, the present invention significantly improves the timing accuracy, individualized adjustment ability and clinical safety of paired acoustic and magnetic nerve stimulation through the three core mechanisms of "precise synchronization + closed-loop adaptation + safety redundancy"; at the same time, with the help of modular software and hardware architecture and visual process configuration, it reduces the difficulty of equipment integration and operation, and provides a powerful technical platform for neuromodulation treatment, scientific research and big data analysis. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 This is a structural diagram of an intelligent neural regulation system based on acoustic-magnetic pairing. DETAILED DESCRIPTION

[0022] The following describes the implementation of the present invention in detail with reference to the examples, but they do not limit the present invention and are merely examples. At the same time, the advantages of the present invention will become clearer and easier to understand.

[0023] like Figure 1 As shown, the intelligent neural regulation system based on acoustic-magnetic pairing of the present invention includes a host computer, a slave computer, a sound stimulation module, a TMS communication interface module and a safety monitoring module; The upper computer is used to set the multimodal neural stimulation scheme and control parameters, and issue instructions to the lower computer according to the set stimulation scheme and control parameters; and receive and analyze the real-time data feedback from the lower computer to adjust subsequent parameters in a closed-loop manner; The lower computer is used to receive instructions from the upper computer, synchronously trigger the sound stimulation module and the TMS communication interface module, perform paired stimulation consisting of sound stimulation and TMS stimulation, and collect real-time data and feed it back to the upper computer; The sound stimulation module responds to the trigger of the lower computer and outputs sound stimulation; The TMS communication interface module responds to the trigger of the lower computer, sends trigger instructions to the TMS device, outputs TMS stimulation, and receives feedback information from the TMS device; The safety monitoring module is used to detect abnormalities in stimulation output or collected data, immediately interrupt the stimulation process when an abnormality occurs, and send an alarm signal to the host computer.

[0024] In the above technical solution, the host computer is configured with a graphical interface, and the multimodal neural stimulation scheme is set through the graphical interface, including: During the baseline acquisition phase, the lower computer was controlled to perform preliminary TMS and sound stimulation and collect neural response data to determine the initial TMS stimulation intensity; In the delay parameter optimization phase, paired stimulation consisting of sound stimulation and TMS stimulation was performed in sequence according to the preset delay scheme to determine the delay parameters that induced the best neural effect; During the personalized intervention phase, control parameters are updated based on the delay parameter optimization results, subsequent stimulation strategies are adjusted, and feedback data is continuously monitored to adjust the stimulation intensity and delay plan in real time.

[0025] In the above technical solution, the control parameters set by the host computer include TMS stimulation intensity, sound stimulation parameters, delay scheme, number of stimulations, stimulation interval and rest time between stages, and are sent to the slave computer through the serial port.

[0026] In the above technical solution, the lower computer includes a timing control module, and the timing control module synchronously triggers the sound stimulation module and the TMS communication interface module respectively through a hardware timer.

[0027] In the above technical solution, the lower computer also includes a data acquisition module, which collects the triggering time, delay parameters, actual TMS output intensity and sEMG data of each stimulation in real time, and feeds the real-time data back to the upper computer.

[0028] In the above technical solution, the host computer includes a data analysis module, which dynamically adjusts subsequent stimulation parameters by performing statistics and comparison on the real-time data fed back by the slave computer, and records and stores all data in the entire process in real time.

[0029] In the above technical solution, a random delay is set between the execution of two adjacent paired stimulations consisting of sound stimulation and TMS stimulation.

[0030] In the above technical solution, the sound stimulation module includes a digital audio signal processor, a digital-to-analog converter, a power amplifier and noise-canceling headphones; the digital audio signal processor is used to generate a digital signal with preset parameters, which is converted into an analog signal by the digital-to-analog converter, amplified by the power amplifier, and output through the noise-canceling headphones.

[0031] In the above technical solution, the TMS communication interface module is connected to the TMS device through an integrated serial communication interface, parallel communication interface or TTL level trigger interface, sends trigger instructions to the TMS device, and receives feedback information from the TMS device.

[0032] The present invention also provides a method for performing neural regulation using the above system, comprising the following steps: Set the multimodal neural stimulation scheme and control parameters in the upper computer, and send the set stimulation scheme and control parameters to the lower computer; The lower computer receives instructions from the upper computer, synchronously triggers the sound stimulation module and the TMS communication interface module, executes paired stimulation consisting of sound stimulation and TMS stimulation, and inserts a delay parameter generated by a random function between each stimulation. It synchronously collects the trigger time, delay parameter, actual TMS output intensity and sEMG data of each stimulation in real time, and feeds the real-time data back to the upper computer. The upper computer performs statistical analysis and comparison on the real-time data fed back by the lower computer, and dynamically adjusts subsequent parameters based on the analysis results to achieve closed-loop neural control; The safety monitoring module continuously monitors the system operation status and collected data. When it detects abnormal stimulation output or abnormal collected data, it automatically issues an alarm signal and terminates the stimulation process.

[0033] Example: The intelligent neural control system based on acoustic-magnetic pairing in this embodiment adopts a hierarchical structure, mainly consisting of a host computer and a slave computer, forming an intelligent control and data acquisition platform: The host computer is responsible for planning and adjusting parameters for the overall multimodal neurostimulation protocol. Operators use a graphical interface to configure TMS stimulation intensity, sound stimulation parameters, delay schemes, and process settings for each phase (such as baseline acquisition, delay optimization, and personalized intervention). The operator then transmits preset parameters and instructions to the host computer via a serial port (supporting RS-232, RS-485, USB serial conversion, or proprietary protocols).

[0034] The slave computer receives commands from the master computer and uses its built-in high-precision hardware timer to precisely trigger and control the synchronous operation of the sound stimulation module and the TMS communication interface module. Simultaneously, the slave computer collects the trigger moment, delay parameters, actual TMS output intensity, and collected sEMG data for each stimulation in real time, and feeds this data back to the master computer for subsequent data statistics and dynamic parameter adjustment.

[0035] Sound stimulation module: Utilizing a high-quality digital audio signal processing module, a microcomputer controls the generation of sound signals with preset parameters. The sound parameters are: 500Hz frequency, 110dB sound pressure level, and 50ms duration. The digital signal is generated by a high-precision timer, converted to an analog signal via a digital-to-analog converter (DAC), amplified by a power amplifier, and output via dedicated noise-canceling headphones to ensure a stable, clear, and distortion-free signal. The sound stimulation system and TMS stimulation module utilize TTL level triggering for strict synchronization, and undergo self-tests and parameter verification prior to the experiment to ensure repeatability and safety. The time, frequency, intensity, and duration of each sound stimulation are recorded in real time by the system and stored synchronously with the TMS data.

[0036] TMS Communication Interface Module: This module does not directly replace the TMS device, but rather interconnects with commercially available TMS devices via an integrated communication interface module. This interface module integrates multiple communication methods, including serial and parallel ports, as well as TTL level direct triggering, adapting to the interface standards and triggering methods provided by different TMS devices. The system transmits stimulation parameters and trigger instructions via a serial communication protocol and receives real-time status feedback and data acquisition information from the TMS device. During the baseline testing phase, the initial TMS stimulation intensity was set to 30% of the device's maximum output; during the paired stimulation intervention phase, the initial TMS intervention intensity was set to 80% of the target muscle's resting motor threshold (RMT).

[0037] The specific process of the intelligent neural control method based on acoustic-magnetic pairing in this embodiment is as follows: (1) System startup and parameter configuration The host computer is responsible for the overall planning and control parameter setting of the multimodal neural stimulation protocol. After the operator starts the system in the host computer's graphical interface, they first initialize the overall stimulation protocol. The host computer provides a multi-level process setting interface, allowing the user to set parameters for each stage (such as baseline acquisition, delay parameter optimization, and personalized intervention). The operator can configure parameters including TMS stimulation intensity, sound stimulation parameters, delay scheme, number of stimulations, intervals, and rest time between stages.

[0038] Specifically, users can set: the initial value and adjustment strategy for TMS stimulation intensity (for example, starting with a low output and gradually increasing until a predetermined neural response is achieved); basic sound stimulation parameters (frequency, sound pressure level, duration, etc.); delay schemes for each stage (for example, presetting multiple delay candidates and their testing order); and control parameters such as the number of stimulations per stage, interval duration, and rest time between stages. Once parameter settings are complete, the host computer transmits the overall process and parameter data to the slave computer via the serial port.

[0039] (2) Collaborative operation of the upper computer and the lower computer The lower computer, acting as the execution unit, receives instructions from the upper computer and performs high-precision triggering. After receiving the overall process and parameters from the upper computer, the lower computer uses its built-in high-precision hardware timer to strictly execute the stimulation trigger according to the preset process, ensuring that each paired stimulation is executed strictly at the preset time interval.

[0040] The lower computer is responsible for triggering TMS stimulation and sound stimulation according to the instructions of the upper computer at each stage, and directly realizing synchronous control through TTL level.

[0041] Data collection and feedback: The lower computer collects relevant data (such as trigger time, delay parameters, actual TMS output intensity, and sEMG feedback data) during each stimulation trigger and feeds this data back to the upper computer in real time. The upper computer uses a built-in data analysis module to perform preliminary statistics on the feedback data, providing a basis for subsequent dynamic adjustment of parameters.

[0042] (3) Multi-stage process execution and parameter adjustment Baseline collection phase: The upper computer instructs the lower computer to perform preliminary TMS and sound stimulation according to the preset process, and collects neural response data to determine the initial TMS stimulation intensity (for example, to achieve the minimum output value that produces the preset neural response, i.e., RMT).

[0043] Delay parameter optimization: The system sequentially executes paired stimulation according to multiple delay schemes preset by the host computer, and records the neural responses under each scheme in real time. After analyzing the data from each stage, the host computer automatically determines the delay parameters that induce the optimal neural effect for the current patient condition.

[0044] Personalized Intervention Phase: Based on the aforementioned optimization results, the host computer updates personalized stimulation parameters and adjusts the subsequent continuous stimulation strategy. Throughout the entire process, the host computer continuously monitors data feedback and can adjust subsequent stimulation intensity and delay schemes in real time to ensure that each stimulation achieves the optimal control effect.

[0045] (4) Overall data management and security monitoring The host computer records and stores all data from the entire stimulation process in real time (including each stimulation trigger moment, parameter settings, and collected neural response data). It also uses a built-in data analysis module to perform statistical comparisons on this data. The system also features a safety monitoring module for abnormality detection. The host computer automatically issues alarms or adjusts parameters based on preset thresholds. If an abnormality in stimulation output or data is detected, the stimulation process is terminated to ensure patient safety.

[0046] Through this process, the system achieves comprehensive planning and dynamic parameter adjustment of the multimodal stimulation triggering process by the host computer, as well as high-precision triggering and data acquisition by the slave computer based on hardware timers. This collaborative working model not only simplifies the operation process but also automatically optimizes stimulation parameters based on real-time feedback, providing reliable technical support for personalized clinical neuromodulation therapy.

[0047] This example demonstrates the overall process and parameter adjustment scheme for implementing multimodal neural stimulation in a system with coordinated operation between the host and slave computers. This example is not limited to specific numerical values, but rather focuses on describing how the host computer plans, adjusts, and dynamically controls the entire stimulation process, while enabling high-precision triggering and data acquisition through the slave computers.

[0048] The above is only a specific embodiment of the present invention. It should be pointed out that any changes or substitutions that can be easily thought of by any technician familiar with the field within the technical scope disclosed by the present invention should be covered by the protection scope of the present invention. The rest not described in detail are prior art.

Claims

1. An intelligent neural control system based on acoustic-magnetic pairing, characterized by: It includes a host computer, a slave computer, a sound stimulation module, a TMS communication interface module and a security monitoring module; The upper computer is used to set the multimodal neural stimulation scheme and control parameters, and issue instructions to the lower computer according to the set stimulation scheme and control parameters; it also receives and analyzes the real-time data feedback from the lower computer and adjusts the subsequent parameters in a closed-loop manner; The lower computer is used to receive instructions from the upper computer, synchronously trigger the sound stimulation module and the TMS communication interface module, perform paired stimulation consisting of sound stimulation and TMS stimulation, and collect real-time data and feed it back to the upper computer; The sound stimulation module responds to the trigger of the lower computer and outputs sound stimulation; The TMS communication interface module responds to the trigger of the lower computer, sends trigger instructions to the TMS device, outputs TMS stimulation, and receives feedback information from the TMS device; The safety monitoring module is used to detect abnormalities in stimulation output or collected data, immediately interrupt the stimulation process when an abnormality occurs, and send an alarm signal to the host computer.

2. The intelligent neural control system based on acoustic-magnetic pairing according to claim 1, characterized in that: The host computer is configured with a graphical interface, and the multimodal neural stimulation scheme is set through the graphical interface, including: During the baseline acquisition phase, the lower computer was controlled to perform preliminary TMS and sound stimulation and collect neural response data to determine the initial TMS stimulation intensity; In the delay parameter optimization phase, paired stimulation consisting of sound stimulation and TMS stimulation was performed in sequence according to the preset delay scheme to determine the delay parameters that induced the best neural effect; During the personalized intervention phase, control parameters are updated based on the delay parameter optimization results, subsequent stimulation strategies are adjusted, and feedback data is continuously monitored to adjust the stimulation intensity and delay plan in real time.

3. The intelligent neural regulation system based on acoustic-magnetic pairing according to claim 2, characterized in that: The control parameters set by the host computer include TMS stimulation intensity, sound stimulation parameters, delay scheme, number of stimulations, stimulation interval and rest time between stages, and are sent to the slave computer through the serial port.

4. The intelligent neural regulation system based on acoustic-magnetic pairing according to claim 1, 2 or 3, characterized in that: The lower computer includes a timing control module, and the timing control module synchronously triggers the sound stimulation module and the TMS communication interface module respectively through a hardware timer.

5. The intelligent neural regulation system based on acoustic-magnetic pairing according to claim 4 is characterized in that: The lower computer also includes a data acquisition module, which collects the triggering time, delay parameters, actual TMS output intensity and sEMG data of each stimulation in real time, and feeds the real-time data back to the upper computer.

6. The intelligent neural control system based on acoustic-magnetic pairing according to claim 5, characterized in that: The host computer includes a data analysis module, which dynamically adjusts subsequent stimulation parameters by performing statistics and comparison on the real-time data fed back by the slave computer, and records and stores all data in the entire process in real time.

7. The intelligent neural regulation system based on acoustic-magnetic pairing according to claim 1, 2 or 3, characterized in that: A random delay was set between the execution of two adjacent paired stimulations consisting of sound stimulation and TMS stimulation.

8. The intelligent neural regulation system based on acoustic-magnetic pairing according to claim 1, 2 or 3, characterized in that: The sound stimulation module includes a digital audio signal processor, a digital-to-analog converter, a power amplifier, and noise-canceling headphones. The digital audio signal processor generates a digital signal with preset parameters, which is converted into an analog signal by the digital-to-analog converter, amplified by the power amplifier, and output through the noise-canceling headphones.

9. The intelligent neural regulation system based on acoustic-magnetic pairing according to claim 1, 2 or 3, characterized in that: The TMS communication interface module is connected to the TMS device via an integrated serial communication interface, parallel communication interface or TTL level trigger interface, sends a trigger instruction to the TMS device, and receives feedback information from the TMS device.

10. A method for performing neural regulation using the system according to any one of claims 1 to 9, characterized in that: The steps include: Set the multimodal neural stimulation scheme and control parameters in the upper computer, and send the set stimulation scheme and control parameters to the lower computer; The lower computer receives instructions from the upper computer, synchronously triggers the sound stimulation module and the TMS communication interface module, executes paired stimulation consisting of sound stimulation and TMS stimulation, and inserts a delay parameter generated by a random function between each stimulation. It synchronously collects the trigger time, delay parameter, actual TMS output intensity and sEMG data of each stimulation in real time, and feeds the real-time data back to the upper computer. The upper computer performs statistical analysis and comparison on the real-time data fed back by the lower computer, and dynamically adjusts subsequent parameters based on the analysis results to achieve closed-loop neural control; The safety monitoring module continuously monitors the system operation status and collected data. When it detects abnormal stimulation output or abnormal collected data, it automatically issues an alarm signal and terminates the stimulation process.

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