CN118022173A - Transcranial microcurrent stimulation equipment and control method - Google Patents
Transcranial microcurrent stimulation equipment and control method Download PDFInfo
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Abstract
The application relates to the technical field of intelligent electrical stimulation equipment, and provides transcranial microcurrent stimulation equipment and a control method, wherein the method comprises the following steps: the upper computer: monitoring the running state of the equipment; and the control module is used for: adjusting the output voltage of the micro-current stimulation equipment; impedance detection module: detecting the biological impedance of the head of the human body through the induction electrode; current source: outputting stable current; and a noise reduction module: the fluctuation influence of external noise on current is reduced; electrode array: the stimulation effect on the head nerve is generated; and a monitoring module: monitoring the physiological condition of human head tissue; and an emergency stop module: rapidly cutting off the power supply of the micro-current stimulation equipment; and a threshold adjustment module. The high-efficiency and accurate noise reduction system is formed by the multi-channel acquisition unit, the noise modeling unit, the self-adaptive filtering unit and the noise feedback unit, and the influence of noise on current transmission is greatly reduced by the modeling filtering system of the noise.
Description
Technical Field
The invention relates to the technical field of intelligent electrical stimulation equipment, in particular to transcranial microcurrent stimulation equipment and a control method.
Background
The transcranial microcurrent stimulation device regulates brain activities by applying weak direct current to the scalp, and transcranial microcurrent stimulation has been remarkably progressed in research and application of neuroscience, nerve rehabilitation and psychological disease treatment, has advantages of no need of surgery or drug intervention, reduces risks in treatment and discomfort of a therapist, and can regulate current intensity and stimulation time according to the body shape of the therapist, thus being widely used in clinical research and experiments.
Searching, chinese patent bulletin number: CN116726392a discloses a transcranial micro-current stimulation device and a control method, wherein the device comprises: the device comprises an upper computer, a micro control unit, a dual-channel high-precision digital-to-analog converter, a first driving output module, a second driving output module, a first current detection circuit, a second current detection circuit, a voltage detection module, a controllable boosting power supply and an output interface for connecting output electrodes. The embodiment is provided with two independent current detection circuits, namely a first current detection circuit and a second current detection circuit, and the two independent current detection circuits are all used for detecting in a low-voltage state, so that the detection precision of positive and negative currents is improved, unexpected current stimulation can be avoided, and the user experience is improved.
However, in the use of this application, since the detection circuit is subjected to a low voltage condition for a long time, the difference between the signal and the noise may become smaller, resulting in a decrease in the signal-to-noise ratio, making the current detection circuit more susceptible to environmental noise or other interference, thereby affecting its accuracy.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides transcranial micro-current stimulation equipment and a control method, which solve the problems that the signal to noise ratio is reduced and the signal to noise ratio is easily and negatively influenced by noise due to the fact that a detection circuit is in a low-voltage condition for a long time.
In order to achieve the above purpose, the invention is realized by the following technical scheme: a transcranial microcurrent stimulation device, comprising:
The upper computer: monitoring the running state of the equipment;
And the control module is used for: adjusting the output voltage of the micro-current stimulation equipment;
impedance detection module: detecting the biological impedance of the head of the human body through the induction electrode;
current source: outputting stable current;
And a noise reduction module: the fluctuation influence of external noise on current is reduced;
electrode array: the stimulation effect on the head nerve is generated;
And a monitoring module: monitoring the physiological condition of human head tissue;
And an emergency stop module: rapidly cutting off the power supply of the micro-current stimulation equipment;
A threshold adjustment module: adjusting the stimulation current threshold along with the change of the environment and the stimulation human body;
and a storage module: and storing data such as stimulation current threshold values, stimulation time and the like which are suitable for different human bodies.
Preferably, the control module includes: a current adjusting unit for automatically adjusting the intensity of the output current; the stimulation positioning unit is used for helping a user to accurately position the stimulation area; a direction alternating unit for periodically alternating the direction of the output current; and the cloud connection unit supports cloud connection with cloud service and intelligent equipment.
Preferably, the impedance monitoring module includes: a multi-channel layout unit for changing the spatial distribution of the detection electrodes; the data processing unit integrates a real-time data processing and feedback system and immediately acquires the result of the biological impedance measurement; the brain network connection unit supports integration with functional magnetic resonance imaging; an algorithm analysis unit for analyzing the bioimpedance data using an algorithm to identify patterns and predict changes;
the algorithm analysis unit uses an algorithm as fast fourier transform, and the mathematical model is:
[X(k)＝\sum_{n＝0}^{N-1}x[n]\cdot e^{-j\frac{2\pi}{N}kn}]
where, (k=0, 1,2, \l dots, N-1).
Preferably, the noise reduction module includes: the multichannel acquisition unit is used for acquiring data by using multiple channels and comparing information of different channels; a noise modeling unit modeling noise, and accurately separating signal and noise components; the self-adaptive filtering unit adjusts the parameters of the filter according to the characteristics of the acquired signals so as to inhibit noise in a specific frequency range; the noise feedback unit is integrated with the real-time feedback system, monitors the noise level and adjusts the parameters of the noise reduction algorithm in real time;
The mathematical model of the noise modeling unit using an algorithm is:
[S(f)＝\frac{K}{f}]
Where (S (f)) is the power spectral density at frequency (f) and (K) is a constant.
Preferably, the monitoring module includes: an electrode positioning unit for tracking and recording the position of the electrode on the head; the current monitoring unit monitors the current transmission process in real time, and ensures stable current to be transmitted to a target area; and the power consumption optimizing unit adopts a low-consumption design, and prolongs the service life of the electrode.
Preferably, the emergency stop module includes: the automatic diagnosis unit is introduced into an automatic diagnosis system and is used for automatically detecting abnormal conditions by analyzing information such as bioelectrical signals, equipment states and the like; the double verification unit integrates a double verification mechanism, and ensures that the scram meets a plurality of conditions; a stop notification unit for giving a prompt of emergency stop and providing related information and necessary guidance; and the emergency backup unit is integrated with an emergency power supply backup system, so that the equipment can still effectively perform emergency stop operation under the conditions of power failure and the like.
Preferably, the threshold adjustment module includes: the parameter adjusting unit is used for providing personalized parameter settings, including stimulus intensity, frequency, duration and the like, so as to adapt to the treatment requirements of different users; an adaptive adjustment unit that dynamically adjusts the stimulation threshold according to the physiological response of the user; the context sensing unit is used for adjusting the stimulation threshold value by integrating a context sensing technology, so that the effectiveness of treatment is ensured.
Preferably, the storage module includes: a protocol storage unit that stores the individualized treatment protocol in the device; a data storage unit storing historic treatment data of the patient, including stimulation parameters, biofeedback information, and user feedback; the backup and restore unit provides firmware backup and restore functions; and the encryption security unit integrates the innovative encryption and security modules, so that the stored sensitive data is fully protected.
A method of controlling a transcranial microcurrent stimulation device, comprising the steps of:
S1, starting an impedance detection module through an upper computer to detect the biological impedance of the head of a human body of a device user;
S2, after the biological impedance range of the head of the human body is detected, adjusting the output voltage of the micro-current stimulation equipment through a control module, and managing the intensity and the direction of current;
S3, the noise reduction module establishes an external noise model at the same time of voltage output, and noise and signals are segmented;
s4, inputting voltage to the electrode array to generate a stimulation effect on head nerves, and simultaneously monitoring a current path and physiological conditions of the head of a human body by the monitoring module;
S5, immediately starting the scram module when the monitoring module finds an abnormal condition, and changing the current output size and the current output direction of the current source through the threshold adjusting module;
s6, the storage module records parameters used by a user, and smoothness of equipment use is ensured.
Preferably, in the step S6, the recording parameters of the storage module are the stimulation current, the stimulation duration and the stimulation azimuth.
The invention provides transcranial microcurrent stimulation equipment and a control method. The beneficial effects are as follows:
1. According to the invention, a high-efficiency and accurate noise reduction system is formed by the multi-channel acquisition unit, the noise modeling unit, the self-adaptive filtering unit and the noise feedback unit, and the influence of noise on current transmission is greatly reduced by the modeling filtering system of the noise.
2. The invention realizes the high-efficiency measurement, analysis and prediction of the biological impedance through the synergistic effect of the multichannel layout unit, the data processing unit, the brain network connection unit and the algorithm analysis unit in the impedance monitoring module, and provides important basis for early diagnosis of diseases, disease condition monitoring and optimization of treatment schemes.
3. The invention stores the individualized treatment scheme in the equipment through the storage module, meets the specific illness state, physique and treatment requirement of the patient, and ensures that the patient obtains the optimal curative effect in the treatment process.
Drawings
FIG. 1 is a flow chart of a transcranial microcurrent stimulation device according to the present invention;
FIG. 2 is a block diagram of a control module according to the present invention;
FIG. 3 is a block diagram of an impedance detecting module according to the present invention;
FIG. 4 is a block diagram of a noise reduction module according to the present invention;
FIG. 5 is a schematic diagram of a monitoring module according to the present invention;
FIG. 6 is a schematic diagram of an emergency stop module according to the present invention;
FIG. 7 is a schematic diagram of a threshold adjustment module according to the present invention;
FIG. 8 is a block diagram of a memory module according to the present invention;
Fig. 9 is a schematic diagram of a transcranial microcurrent stimulation device according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are only some, but not all embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Examples:
referring to fig. 1-9, an embodiment of the present invention provides a transcranial microcurrent stimulation device, comprising:
The upper computer: monitoring the running state of the equipment;
And the control module is used for: adjusting the output voltage of the micro-current stimulation equipment;
impedance detection module: detecting the biological impedance of the head of the human body through the induction electrode;
current source: outputting stable current;
And a noise reduction module: the fluctuation influence of external noise on current is reduced;
electrode array: the stimulation effect on the head nerve is generated;
And a monitoring module: monitoring the physiological condition of human head tissue;
And an emergency stop module: rapidly cutting off the power supply of the micro-current stimulation equipment;
A threshold adjustment module: adjusting the stimulation current threshold along with the change of the environment and the stimulation human body;
and a storage module: and storing data such as stimulation current threshold values, stimulation time and the like which are suitable for different human bodies.
The control module comprises: a current adjusting unit for automatically adjusting the intensity of the output current; the stimulation positioning unit is used for helping a user to accurately position the stimulation area; a direction alternating unit for periodically alternating the direction of the output current; and the cloud connection unit supports cloud connection with cloud service and intelligent equipment.
Specifically, control module passes through current regulation unit automatically regulated output current intensity, satisfy different user's demand, combine the stimulation positioning unit, can help the user to find the stimulation region accurately, avoid because of the inaccurate problem that leads to of location stimulation effect, the direction is then responsible for carrying out periodic alternation to output current direction simultaneously, can reach better exercise effect through the periodic stimulation of electric current, cloud connection unit then has given the equipment and cloud service and intelligent device's connectivity, the operator can come remote control equipment through cell-phone APP or other intelligent device, real-time adjustment current intensity and stimulation mode, user's use has been greatly facilitated.
The impedance monitoring module includes: a multi-channel layout unit for changing the spatial distribution of the detection electrodes; the data processing unit integrates a real-time data processing and feedback system and immediately acquires the result of the biological impedance measurement; the brain network connection unit supports integration with functional magnetic resonance imaging; an algorithm analysis unit for analyzing the bioimpedance data using an algorithm to identify patterns and predict changes;
the algorithm analysis unit uses an algorithm as a fast fourier transform, and the mathematical model is:
[X(k)＝\sum_{n＝0}^{N-1}x[n]\cdot e^{-j\frac{2\pi}{N}kn}]
where, (k=0, 1,2, \l dots, N-1).
Specifically, the impedance monitoring module is responsible for changing the spatial distribution of the detection electrodes through the multichannel layout unit, so that multipoint measurement is carried out on impedance characteristics of different areas of biological tissues, the comprehensiveness and the accuracy of measured data are improved, a reliable basis is provided for subsequent data processing and analysis, the data processing unit integrates a real-time data processing and feedback system, in the biological impedance measurement process, the data processing unit can process collected original data in real time and present the processed data to a user in an intuitive manner, measurement parameters and strategies are adjusted through the feedback system according to measurement results, the measurement accuracy and efficiency are improved, the brain network connection unit is a key part of combining the impedance monitoring module with other imaging technologies such as functional magnetic resonance imaging (fMRI), the change of the biological tissues in structure and function is revealed, the algorithm analysis unit is responsible for deep mining and analyzing the biological impedance data, a potential mode is identified, future change trend is predicted, and the accuracy of human body biological impedance detection is further improved.
The noise reduction module includes: the multichannel acquisition unit is used for acquiring data by using multiple channels and comparing information of different channels; a noise modeling unit modeling noise, and accurately separating signal and noise components; the self-adaptive filtering unit adjusts the parameters of the filter according to the characteristics of the acquired signals so as to inhibit noise in a specific frequency range; the noise feedback unit is integrated with the real-time feedback system, monitors the noise level and adjusts the parameters of the noise reduction algorithm in real time;
the mathematical model of the noise modeling unit using the algorithm is:
[S(f)＝\frac{K}{f}]
Where (S (f)) is the power spectral density at frequency (f) and (K) is a constant.
Specifically, the multi-channel acquisition unit is responsible for acquiring data from different channels so as to compare and analyze information among different channels, complementarity among the channels is fully utilized, the noise modeling unit models noise acquired by the channels, thereby accurately separating signals and noise components, the noise modeling unit analyzes and models characteristics of the noise by using methods such as statistics, signal processing and the like, the noise can be more accurately identified and eliminated by the noise reduction algorithm, thereby improving the quality of the signal, the adaptive filtering unit adjusts parameters of a filter according to the characteristics of acquired signals so as to inhibit the noise in a specific frequency range, thereby realizing adaptation to various complex scenes, further improving the noise reduction effect, the noise feedback unit integrates a real-time feedback system, monitors the noise level and adjusts parameters of the noise reduction algorithm in real time, the noise feedback unit can be closely combined with the adaptive filtering unit according to practical application scenes, and the noise reduction effect can be kept high-efficient and stable under various environments.
The monitoring module includes: an electrode positioning unit for tracking and recording the position of the electrode on the head; the current monitoring unit monitors the current transmission process in real time, and ensures stable current to be transmitted to a target area; and the power consumption optimizing unit adopts a low-consumption design, and prolongs the service life of the electrode.
Specifically, the electrode positioning unit is responsible for tracking and recording the position of the electrode at the head, so that the success rate of treatment can be improved, side effects caused by improper electrode positions can be reduced, the current monitoring unit monitors the current transmission process in real time, stable current is ensured to be transmitted to a target area, the importance of the current monitoring unit is that abnormal conditions in the current transmission process, such as resistance increase and current leakage, can be timely found, adjustment is timely carried out, the power consumption optimizing unit adopts a low-consumption design, the service life of the electrode is prolonged, the service life and the treatment effect of the electrode are directly influenced by the power consumption of the electrode, the power consumption optimizing unit reduces the power consumption on the premise of ensuring the performance of a system through an intelligent management power supply, the electrode can still keep stable in the long-time operation process, and the sustainability of the treatment effect is improved.
The scram module includes: the automatic diagnosis unit is introduced into an automatic diagnosis system and is used for automatically detecting abnormal conditions by analyzing information such as bioelectrical signals, equipment states and the like; the double verification unit integrates a double verification mechanism, and ensures that the scram meets a plurality of conditions; a stop notification unit for giving a prompt of emergency stop and providing related information and necessary guidance; and the emergency backup unit is integrated with an emergency power supply backup system, so that the equipment can still effectively perform emergency stop operation under the conditions of power failure and the like.
Specifically, the automatic diagnosis unit introduces an automatic diagnosis system, through analyzing information such as bioelectric signals and equipment states in real time, abnormal conditions of the equipment can be found in the first time, the dual verification unit ensures the rigor of emergency stop operation, the emergency stop is triggered only when all conditions are met, misoperation is avoided, the emergency stop is ensured to occur only when the real requirement exists, the stop notification unit is responsible for sending a prompt to related personnel when an emergency stop event occurs, providing related information and necessary guidance, and the emergency backup unit is used for ensuring that the equipment can still effectively perform emergency stop operation under the emergency conditions such as power failure.
The threshold adjustment module includes: the parameter adjusting unit is used for providing personalized parameter settings, including stimulus intensity, frequency, duration and the like, so as to adapt to the treatment requirements of different users; an adaptive adjustment unit that dynamically adjusts the stimulation threshold according to the physiological response of the user; the context sensing unit is used for adjusting the stimulation threshold value by integrating a context sensing technology, so that the effectiveness of treatment is ensured.
Specifically, the parameter adjusting unit provides personalized parameter settings for users to adapt to the treatment requirements of different users, the users can adjust parameters such as stimulation intensity, frequency and duration according to the physiological conditions and treatment progress of the users, the personalized settings can improve the pertinence and effectiveness of treatment, the rehabilitation process is smoother, the self-adaptive adjusting unit can dynamically adjust stimulation thresholds according to the physiological responses of the users, the physiological conditions of the users can be changed in the treatment process, such as fatigue, excitation and the like, the self-adaptive adjusting unit can monitor the changes in real time and correspondingly adjust the stimulation thresholds to ensure the safety and effectiveness of treatment, the situation sensing unit intelligently adjusts the stimulation thresholds according to the environments and situations of the users, ensures that the treatment can achieve good effects under different environments and situations, and the situation sensing unit is combined with the self-adaptive adjusting unit to jointly improve the adaptability of the treatment.
The memory module includes: a protocol storage unit that stores the individualized treatment protocol in the device; a data storage unit storing historic treatment data of the patient, including stimulation parameters, biofeedback information, and user feedback; the backup and restore unit provides firmware backup and restore functions; and the encryption security unit integrates the innovative encryption and security modules, so that the stored sensitive data is fully protected.
Specifically, the scheme storage unit stores an individualized treatment scheme in the equipment, the individualized treatment scheme is formulated according to specific illness state, physique and treatment requirement of a patient, the best curative effect of the patient is ensured in the treatment process, the data storage unit is responsible for storing historical treatment data of the patient, including stimulation parameters, biofeedback information and user feedback, the backup reduction unit can backup original firmware information when the equipment fails or needs to be upgraded, the data of the equipment is ensured not to be lost, meanwhile, the backup firmware can be restored to the equipment, the equipment is enabled to restore normal operation, the encryption safety unit ensures that the stored sensitive data is fully protected, and in addition, the system also has the functions of access authority control, data backup, restoration and the like, and the safety and the integrity of the data of the patient are ensured.
A method of controlling a transcranial microcurrent stimulation device, comprising the steps of:
S1, starting an impedance detection module through an upper computer to detect the biological impedance of the head of a human body of a device user;
S2, after the biological impedance range of the head of the human body is detected, adjusting the output voltage of the micro-current stimulation equipment through a control module, and managing the intensity and the direction of current;
S3, the noise reduction module establishes an external noise model at the same time of voltage output, and noise and signals are segmented;
s4, inputting voltage to the electrode array to generate a stimulation effect on head nerves, and simultaneously monitoring a current path and physiological conditions of the head of a human body by the monitoring module;
S5, immediately starting the scram module when the monitoring module finds an abnormal condition, and changing the current output size and the current output direction of the current source through the threshold adjusting module;
s6, the storage module records parameters used by a user, and smoothness of equipment use is ensured.
And S6, recording parameters of the stimulation current, the stimulation duration and the stimulation direction by the storage module.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (10)
1. A transcranial microcurrent stimulation apparatus, comprising:
The upper computer: monitoring the running state of the equipment;
And the control module is used for: adjusting the output voltage of the micro-current stimulation equipment;
impedance detection module: detecting the biological impedance of the head of the human body through the induction electrode;
current source: outputting stable current;
And a noise reduction module: the fluctuation influence of external noise on current is reduced;
electrode array: the stimulation effect on the head nerve is generated;
And a monitoring module: monitoring the physiological condition of human head tissue;
And an emergency stop module: rapidly cutting off the power supply of the micro-current stimulation equipment;
A threshold adjustment module: adjusting the stimulation current threshold along with the change of the environment and the stimulation human body;
and a storage module: and storing data such as stimulation current threshold values, stimulation time and the like which are suitable for different human bodies.
2. The transcranial microcurrent stimulation device of claim 1 wherein the control module includes: a current adjusting unit for automatically adjusting the intensity of the output current; the stimulation positioning unit is used for helping a user to accurately position the stimulation area; a direction alternating unit for periodically alternating the direction of the output current; and the cloud connection unit supports cloud connection with cloud service and intelligent equipment.
3. The transcranial microcurrent stimulation device of claim 1 wherein the impedance monitoring module includes: a multi-channel layout unit for changing the spatial distribution of the detection electrodes; the data processing unit integrates a real-time data processing and feedback system and immediately acquires the result of the biological impedance measurement; the brain network connection unit supports integration with functional magnetic resonance imaging; an algorithm analysis unit for analyzing the bioimpedance data using an algorithm to identify patterns and predict changes;
the algorithm analysis unit uses an algorithm as fast fourier transform, and the mathematical model is:
[X(k)＝\sum_{n＝0}^{N-1}x[n]\cdot e^{-j\frac{2\pi}{N}kn}]
Wherein, (k=0, 1,2, \ ldots, N-1).
4. The transcranial microcurrent stimulation device of claim 1 wherein the noise reduction module includes: the multichannel acquisition unit is used for acquiring data by using multiple channels and comparing information of different channels; a noise modeling unit modeling noise, and accurately separating signal and noise components; the self-adaptive filtering unit adjusts the parameters of the filter according to the characteristics of the acquired signals so as to inhibit noise in a specific frequency range; the noise feedback unit is integrated with the real-time feedback system, monitors the noise level and adjusts the parameters of the noise reduction algorithm in real time;
The mathematical model of the noise modeling unit using an algorithm is:
[S(f)＝\frac{K}{f}]
Where (S (f)) is the power spectral density at frequency (f) and (K) is a constant.
5. The transcranial microcurrent stimulation device of claim 1 wherein the monitoring module includes: an electrode positioning unit for tracking and recording the position of the electrode on the head; the current monitoring unit monitors the current transmission process in real time, and ensures stable current to be transmitted to a target area; and the power consumption optimizing unit adopts a low-consumption design, and prolongs the service life of the electrode.
6. The transcranial microcurrent stimulation device of claim 1 wherein the scram module includes: the automatic diagnosis unit is introduced into an automatic diagnosis system and is used for automatically detecting abnormal conditions by analyzing information such as bioelectrical signals, equipment states and the like; the double verification unit integrates a double verification mechanism, and ensures that the scram meets a plurality of conditions; a stop notification unit for giving a prompt of emergency stop and providing related information and necessary guidance; and the emergency backup unit is integrated with an emergency power supply backup system, so that the equipment can still effectively perform emergency stop operation under the conditions of power failure and the like.
7. The transcranial microcurrent stimulation device of claim 1 wherein the threshold adjustment module includes: the parameter adjusting unit is used for providing personalized parameter settings, including stimulus intensity, frequency, duration and the like, so as to adapt to the treatment requirements of different users; an adaptive adjustment unit that dynamically adjusts the stimulation threshold according to the physiological response of the user; the context sensing unit is used for adjusting the stimulation threshold value by integrating a context sensing technology, so that the effectiveness of treatment is ensured.
8. The transcranial microcurrent stimulation device of claim 1 wherein the memory module includes: a protocol storage unit that stores the individualized treatment protocol in the device; a data storage unit storing historic treatment data of the patient, including stimulation parameters, biofeedback information, and user feedback; the backup and restore unit provides firmware backup and restore functions; and the encryption security unit integrates the innovative encryption and security modules, so that the stored sensitive data is fully protected.
9. A method of controlling a transcranial microcurrent stimulation device, for use in a transcranial microcurrent stimulation device according to claims 1-8, comprising the steps of:
S1, starting an impedance detection module through an upper computer to detect the biological impedance of the head of a human body of a device user;
S2, after the biological impedance range of the head of the human body is detected, adjusting the output voltage of the micro-current stimulation equipment through a control module, and managing the intensity and the direction of current;
S3, the noise reduction module establishes an external noise model at the same time of voltage output, and noise and signals are segmented;
s4, inputting voltage to the electrode array to generate a stimulation effect on head nerves, and simultaneously monitoring a current path and physiological conditions of the head of a human body by the monitoring module;
S5, immediately starting the scram module when the monitoring module finds an abnormal condition, and changing the current output size and the current output direction of the current source through the threshold adjusting module;
s6, the storage module records parameters used by a user, and smoothness of equipment use is ensured.
10. The method according to claim 9, wherein in the step S6, the recording parameters of the memory module are the stimulation current, the stimulation duration and the stimulation azimuth.
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