94 results about "Functional electrical stimulation" patented technology

The invention discloses a brain-computer hybrid intelligent closed-loop swallowing rehabilitation system for treating dysphagia after stroke, and relates to the field of artificial intelligence medical instruments. The system is composed of a plurality of key modules: an intelligent swallowing brain-computer interface module for accurately identifying a swallowing intention through multi-modal physiological signal acquisition and processing; the intelligent swallowing functional electrical stimulation module is used for finely regulating and controlling stimulation parameters according to the condition of the patient; the AI auxiliary online integrated module is used for realizing non-invasive brain-controlled swallowing and high-precision AI regulation and control; the closed-loop intelligent feedback regulation and control module is used for real-time monitoring, early warning and self-adaptive optimization of electrical stimulation; the cloud platform remote monitoring and data storage module supports remote diagnosis and treatment of doctors; and the man-machine interaction interface display and printing module optimizes doctor-patient interaction. According to the system, a brain-computer interface and FES are combined, a personalized, safe and efficient rehabilitation scheme is provided for a patient based on data driving and an artificial intelligence algorithm, swallowing function recovery can be accelerated, complications are reduced, and the system has great clinical and social values.

The invention relates to a mechanical exoskeleton rehabilitation training system and method based on a brain-computer interface. The system comprises electroencephalogram acquisition equipment, a preprocessing unit, a feature extraction unit, a motion intention decoding unit, a mechanical exoskeleton control unit, a muscular tension state monitoring unit and a self-adaptive functional electrical stimulation feedback unit. The method comprises the following steps: preprocessing electroencephalogram and electromyographic signals; electroencephalogram and myoelectricity time-frequency features are obtained through feature extraction; an electroencephalogram decoding model is used for decoding to obtain the movement intention of the patient, and an exoskeleton control instruction is generated to control a mechanical exoskeleton control unit to drive the limb movement of the rehabilitation patient for rehabilitation training; meanwhile, the muscular tension state of the patient is analyzed according to the time-frequency characteristics of electroencephalogram and myoelectricity, functional electrical stimulation of different intensities is applied in a self-adaptive mode, stimulation feedback is enhanced, and the muscular tension state of the patient is adjusted. According to the invention, deep fusion of brain-controlled exoskeleton training and low-frequency nerve electrical stimulation adjustment can be realized, and the rehabilitation effect of a stroke patient is improved.

An upper-body sensorized exoskeleton is configured to interface with external systems, such as FES, advanced cognitive systems, and VR / AR interaction programs, in order to facilitate rehabilitation and assistance of patients affected by upper-limb impairments. The sensorized upper limb exoskeleton delivers anti-gravitational support at the shoulder level, enables upper-limb configuration limits for shoulder and elbow ranges of motion, and reads kinematic data that may be analyzed by users and clinicians. The sensorized upper limb exoskeleton is equipped with electronic processing and communication means that support bidirectional communication between exoskeleton and external systems.

The invention provides a motion intention recognition control method and system based on electroencephalogram signals, and relates to the technical field of motion intention recognition. According to the method, multi-channel electroencephalogram and peripheral physiological or motion data are collected, alignment, preprocessing and frequency band division are carried out, and space-frequency-time joint representation is constructed in combination with cross-channel association and time sequence statistics; the motion intention state probability, intensity and confidence coefficient are output through a graph time sequence decoder, and self-adaption is achieved based on feature distribution alignment; incremental updating is executed under confidence driving, and error learning is avoided in combination with an error correction mechanism; asynchronous judgment is realized through double-threshold hysteresis gating, and stable switching from unintentional state to intentional state is ensured; and finally mapping the motion intention and the intensity into a control instruction of an exoskeleton or a functional electrical stimulator under safety supervision. According to the method, a complete closed-loop link from electroencephalogram signal input to execution mechanism output is formed, and recognition precision, robustness, adaptability and safety are considered.

The invention belongs to the cross technical field of rehabilitation engineering and neural engineering, and relates to an exercise rehabilitation system and method based on layered stimulation navigation and a closed-loop brain-computer interface, and the exercise rehabilitation system comprises a layered stimulation navigation module, a brain-computer interaction module, a multi-channel functional electrical stimulation module and an exercise feedback module. The layered stimulation navigation module outputs different stimulation schemes for the superficial layer muscle stimulation area and the deep layer muscle stimulation area; the brain-computer interaction module is used for outputting a decoding result capable of representing the motion intention of the convalescent; the multi-channel functional electrical stimulation module calls a stimulation scheme according to a decoding result, loads an injection current to a working electrode determined by the stimulation scheme, implements electrical stimulation and generates a motion response; the motion feedback module collects and fuses the multi-mode feedback signals under the motion response, generates a stimulation parameter adjustment signal used for adjusting a stimulation scheme executed in the previous rehabilitation period, and outputs a neural feedback signal used for guiding the rehabilitation person to adjust the motion imagination.

The invention discloses a closed-loop feedback functional electrical stimulation control method and device, a medium and equipment, and relates to the technical field of computers. According to the invention, the current target motion angle of the healthy side limb of the patient and the actual motion angle of the affected side limb of the patient under the current functional electrical stimulation control signal are obtained, and the error between the target motion angle and the actual motion angle and the change rate of the error are determined; then, an adaptive weight fuzzy iterative learning control closed-loop feedback control algorithm is adopted to accurately adjust control parameters through learning of historical control experience, so that the affected-side limb of the patient can quickly approach a target movement track of the unaffected-side limb of the patient, and the iterative learning frequency of the iterative learning control algorithm is reduced; the limb movement reconstruction real-time performance is improved, the target trajectory tracking precision is improved, and the accomplishment degree of the limb movement on the affected side of the patient is improved.

A device for functional electrical stimulation (FES), neuromuscular electrical stimulation (NMES), and / or in receiving electromyography (EMG) signals includes a sleeve and electrodes. The sleeve is sized and shaped to be worn on a human arm, and comprises a stretchable fabric The sleeve has a distal end disposed on or adjacent a wrist of the human arm when the sleeve is worn on the human arm and a proximal end opposite from the distal end. The electrodes are secured with the sleeve and positioned to contact skin of the human arm when the sleeve is worn on the human arm. The sleeve may include an inner sleeve contact with the skin and an outer sleeve disposed over the inner sleeve. The inner sleeve has openings in which the electrodes are disposed.

The invention relates to the crossing field of medical rehabilitation and brain-computer interface technology, and particularly discloses a lower limb exoskeleton rehabilitation training system and method based on AR glasses and brain-computer interface control. According to the system, motor imagery electroencephalogram decoding is used as core driving force, lightweight AR visual guidance, lower limb exoskeleton mechanical assistance and functional electrical stimulation feedback are fused, and real-time information interaction among multiple modules is achieved through wireless communication; therefore, a closed-loop rehabilitation system integrating sensing, decoding, execution, multi-mode feedback and self-adaptive adjustment is constructed. Under the framework, the subjective motion intention of the patient not only can directly participate in the exoskeleton control process, but also can continuously adjust training parameters and interaction modes through dynamic monitoring of physiological signals and emotional states, so that a patient-centered lower limb rehabilitation training mode which better conforms to the neuroplastic law is achieved.

The utility model discloses a wireless intraoral genioglossus myoelectricity acquisition device and a functional electrical stimulation system thereof. According to the myoelectricity acquisition device, the electrode, the myoelectricity acquisition circuit and the wearable tooth socket are fixedly assembled and are subjected to waterproof packaging, and the technical scheme of wireless transmission and wireless charging is matched, so that the accuracy of signal acquisition and the wearing comfort of a user are effectively improved, and the myoelectricity acquisition device is suitable for being worn in a humid oral environment for a long time. According to the corresponding closed-loop functional electrical stimulation system, electromyographic signal monitoring and electrical stimulation are integrated, the activity state of genioglossus can be monitored in real time, and electrical stimulation is provided when necessary, so that the smoothness of the airway is maintained, and the breathing problem caused by airway collapse is effectively prevented. The system can also automatically adjust stimulation parameters according to real-time feedback of electromyographic signals, improves the accuracy and curative effect of treatment, and is particularly suitable for treating obstructive sleep apnea.

The invention provides a functional electrical stimulation method and system based on fuzzy control, and the method comprises the steps: applying an electrical stimulation signal with an initial electrical stimulation parameter to the muscle of a to-be-stimulated point of a patient, and obtaining an electromyographic signal in the process of applying the electrical stimulation to the muscle of the to-be-stimulated point; performing data processing on the acquired electromyographic signals to extract time-frequency domain features corresponding to the electromyographic signals, and analyzing to obtain root-mean-square values of the electromyographic signals and median frequencies of electromyographic signal power spectrums to represent the strength and fatigue degree of the electromyographic signals; and obtaining real-time electrical stimulation time according to the intensity of the electromyographic signals and the fatigue degree and based on a preset fuzzy control strategy, and performing electrical stimulation rehabilitation on the muscles of the patient according to the electrical stimulation time. The purpose of automatically controlling the electrical stimulation time can be achieved, the control efficiency is improved, the intelligent rehabilitation training of a patient can be assisted, and then the good rehabilitation effect is achieved.

A tremor suppression device includes a garment wearable on an anatomical region and including electrodes contacting the anatomical region when the garment is worn on the anatomical region, and an electronic controller configured to: detect electromyography (EMG) signals as a function of anatomical location and time using the electrodes; identify tremors as a function of anatomical location and time based on the EMG signals; and apply neuromuscular electrical stimulation (NMES) at one or more anatomical locations as a function of time using the electrodes to suppress the identified tremors.

The invention relates to the technical field of medical rehabilitation treatment, and discloses a self-adaptive functional electrical stimulation system based on bimodal feedback and a control method. The system comprises a main control module, a stimulation output module, an electroneurographic signal detection module, a biological impedance test module and a safety isolation module. The main control module comprises a safety current determination unit, a stimulation control unit and a dynamic calibration unit which are respectively used for determining an individualized initial safety current based on neural action potential feedback, controlling treatment stimulation output and dynamically calibrating a safety current upper limit according to biological impedance change before and after stimulation. According to the invention, through bimodal feedback of electroneurographic signals and biological impedance, individualized calibration and real-time dynamic optimization of stimulation parameters are realized, and the problem that the treatment effect and safety are difficult to guarantee due to the fact that traditional functional electrical stimulation depends on experience setting and lacks physiological feedback is solved; and the accuracy, safety and adaptability of rehabilitation treatment are remarkably improved.

The invention relates to a flexible conductive intravenous stent based on functional electrical stimulation. The invention belongs to the fields of biomedical engineering and the like. The PCL-Gr extravascular stent is prepared by utilizing an electrostatic spinning technology, and the PCL-Gr extravascular stent wraps the periphery of the transplanted vein to provide necessary mechanical support for the transplanted vein so as to maintain the structural stability of the transplanted vein, so that the risk of restenosis caused by hemodynamic change is reduced. And meanwhile, functional electrical stimulation is accurately applied to transplanted veins by utilizing conductivity, so that double mechanisms of promoting endothelialization and inhibiting smooth muscle cell proliferation are achieved, and the risk of intimal hyperplasia is effectively reduced.

The present invention relates to a method and a device for obtaining a pre-trained deep reinforcement learning (DRL) model. The invention further relates to a method and a device for obtaining an optimized control signal for controlling a Functional Electrical Stimulation (FES) system using said pre-trained DRL model.

The present disclosure provides a plug-and-play functional electrical stimulation system and method. The system includes a main controller connected to at least two series-connected electrical stimulators via a bus; the main controller is configured to receive and execute motion task files, and coordinate the output logic timing of the multi-channel electrical stimulators via the bus; the motion task files are composed of control parameters set based on the patient's degree of muscle damage; the control parameters include: the number of different states of a customizable state machine corresponding to the functional training task, the trigger conditions required for state transitions, and the functional electrical stimulation output parameters for each state.

Systems and methods for generating a finite element model (FEM) of current flow in an anatomical human forearm are disclosed. The disclosed FEM may assist in determining optimal stimulation parameters in electrical stimulation systems for achieving movement of paralyzed limbs or enhancement of able limbs. This model will allow users to determine which muscle groups are receiving stimulation under different parameters. Systems and methods which leverage electrical impedance tomography (EIT) for autonomous recalibration following garment donning are also disclosed. The method may comprise performing an EIT measurement across an electrode array of an electrode garment and constructing an anatomical model based on the EIT measurement. Next, one or more alignment variations may be estimated based on an alignment variation model. Finally, the electrode array is adjusted, automatically or manually, to accommodate the alignment variations using an alignment adjustment function.

This application relates to the fields of biomedical engineering and rehabilitation engineering technology, and discloses a functional electrical stimulation method and system based on physiological simulation and adaptive closed-loop feedback. The method includes: calculating an ideal muscle activation curve based on a target trajectory; performing spatiotemporal asynchronous co-coding to generate a biomimetic stimulation pulse sequence by simulating temporal asynchrony, spatial and intensity modulation, and multi-muscle synergistic timing; simultaneously applying stimulation while monitoring the actual kinematic state and muscle physiological state in real time using sensors; and dynamically adjusting the internal parameters of the spatiotemporal asynchronous co-coding (T-S-C coding) based on the evaluation results of trajectory error and fatigue index to form an adaptive closed loop. This application, by combining biomimetic coding with an intelligent closed loop, fundamentally solves the problems of motion stiffness, muscle fatigue, and poor control precision caused by traditional FES, achieving smooth, sustained, and precise personalized motor function rehabilitation.

This invention discloses an intelligent upper limb motor rehabilitation device and its method, belonging to the field of rehabilitation device design. The device includes a motor training module and a functional electrical stimulation module. The motor training module includes a permanent magnet synchronous motor and its drive and transmission systems. The drive system can perform torque control, speed control, and position control on the permanent magnet synchronous motor. The transmission system is a worm gear structure, achieving the effects of deceleration and torque increase. This upper limb motor rehabilitation device has multiple training modes, which can exercise upper limb muscle strength, improve joint range of motion, and evaluate the torque applied by the user, assess muscle strength, and detect spasticity through a method based on a fully connected neural network. Furthermore, combined with the functional electrical stimulation module, it can electrically stimulate and activate relevant muscles based on the user's force application range. Compared to large rehabilitation training devices in hospitals, this device has a compact structure, rich functions, and is more suitable for everyday home use, reducing the workload of doctors and improving rehabilitation efficiency.

A device for functional electrical stimulation (FES), neuromuscular electrical stimulation (NMES), and / or in receiving electromyography (EMG) signals includes a sleeve and electrodes. The sleeve is sized and shaped to be worn on a human arm, and comprises a stretchable fabric The sleeve has a distal end disposed on or adjacent a wrist of the human arm when the sleeve is worn on the human arm and a proximal end opposite from the distal end. The electrodes are secured with the sleeve and positioned to contact skin of the human arm when the sleeve is worn on the human arm. The sleeve may include an inner sleeve contact with the skin and an outer sleeve disposed over the inner sleeve. The inner sleeve has openings in which the electrodes are disposed.

The present application relates to a rehabilitation system based on brain-computer interface (BCI) and functional electrical stimulation (FES) technology. Specifically, the present application relates to a system for detecting a user's exercise intention and promoting recovery of lower extremity functions through electrical stimulation according to same, and relates to a rehabilitation and assistance system for impaired persons suffering from paralysis or complete paralysis of the lower extremities. According to the present application, neural signals due to motor imagery of a user are analyzed in real time, and electrical stimulation is applied to a specific muscle group on the basis thereof to improve motor function.

The invention relates to the technical field of biomedical engineering and rehabilitation engineering, and discloses a functional electrical stimulation method and system based on physiological simulation and adaptive closed-loop feedback. The method comprises the following steps: calculating an ideal muscle activation curve based on a target trajectory; space-time asynchronous cooperative coding is executed, and a bionic stimulation pulse sequence is generated by simulating time asynchronism, space and intensity modulation and a multi-muscle cooperative time sequence; when stimulation is applied, the actual kinematics state and the muscle physiology state are monitored in real time through a sensor; and dynamically adjusting the internal parameters of the time-space asynchronous cooperative coding (T-S-C coding) based on the evaluation results of the trajectory error and the fatigue index to form a self-adaptive closed loop. According to the method, bionic coding and intelligent closed loop are combined, so that the problems of stiff movement, easy fatigue of muscles and poor control precision caused by traditional FES are fundamentally solved, and smooth, lasting and accurate personalized movement function rehabilitation is realized.

The application provides a muscle force prediction method under functional electrical stimulation, which can be applied to the field of electrical stimulation technology. The muscle force prediction method comprises the following steps: obtaining muscle fiber length information and muscle fiber velocity information of a target object; processing electrical stimulation parameters by using a neural activation model to obtain a neural activation value; the neural activation model represents the correlation between the predetermined electrical stimulation parameters and the predetermined neural activation value; the neural activation value represents the neural activation degree of the electrical stimulation parameters on the nerve; processing the neural activation value by using a muscle activation model to obtain a muscle activation value; the muscle activation model represents the correlation between the predetermined neural activation value and the predetermined muscle activation value; the muscle activation value represents the activation degree of the target muscle under the condition that the nerve of the target muscle is in the neural activation degree; processing the muscle fiber length information, the muscle fiber velocity information and the muscle activation value by using a muscle force prediction model to predict muscle force information of the target muscle.

The invention discloses a functional electrical stimulation and pneumatic muscle exoskeleton cooperative control method based on dynamic angle distribution. The method comprises the steps that S1, an expected track is generated according to parameters input by a user; s2, elbow joint motion angle parameters are collected in real time to generate an actual track; s3, constructing a function for dynamically distributing angles of functional electrical stimulation and pneumatic muscle exoskeleton according to an error angle between an expected trajectory and an actual trajectory; s4, constructing two iterative learning controllers for performing iterative learning on the angles of the functional electrical stimulation and the pneumatic muscle exoskeleton respectively, and outputting functional electrical stimulation control parameters and pneumatic muscle exoskeleton control parameters; s5, the electrical stimulator outputs an electric pulse according to the pulse width signal; meanwhile, the micro pump outputs an air source to inflate the pneumatic muscle exoskeleton according to a regulating signal of the proportional valve. Error angles are dynamically distributed, output of functional electrical stimulation and pneumatic muscle exoskeleton is adjusted, the auxiliary effect of the functional electrical stimulation and the pneumatic muscle exoskeleton on the upper limb joints is adjusted, the upper limb joints complete expected movement, control precision is guaranteed, muscle fatigue possibly caused by electrical stimulation is reduced, damage to muscles is relieved, and the effect of controlling the upper limb joints is achieved. The application value of the hybrid rehabilitation system in the exercise rehabilitation field is improved.

The present invention discloses a collaborative rehabilitation system integrating functional electrical stimulation and lower limb exoskeleton, comprising: a multi-channel functional electrical stimulation generator for performing periodic and regular functional electrical stimulation on corresponding muscles of a patient; a lower limb exoskeleton, with one side including a hip joint link, a hip joint motor, a thigh link, a knee joint motor, a calf link, a mechanical ankle joint and a foot plate connected in sequence; an attitude sensor for inputting the detected hip flexion / extension angle θ and angular velocity ω values to a host computer; and a host computer for responsible for processing human-computer interaction instructions, generating gait trajectories, and distributing the combined torque of functional electrical stimulation and exoskeleton by receiving the data from the attitude sensor; the present invention also discloses a collaborative rehabilitation method. By combining functional electrical stimulation (FES) with the lower limb exoskeleton (EXO), the present invention provides scientific and regular functional electrical stimulation to target muscles, enabling patients to participate more actively in the process of active rehabilitation.

The application relates to the technical field of biomedical engineering and neural rehabilitation, and discloses a functional electrical stimulation method and system based on central intention and peripheral collaborative decoding of a central-peripheral collaborative mode. In a training stage, central brain signals of a diseased side and peripheral multi-channel electromyographic signals of a healthy side are synchronously collected, the central brain signals of the diseased side are input into a central intention feature extraction module to output low-dimensional central intention latent space feature sequences, the peripheral multi-channel electromyographic signals of the healthy side are decomposed to obtain a collaborative primitive matrix and a collaborative activation coefficient sequence, a mapping model is trained with the central intention latent space feature sequences as input and the collaborative activation coefficient sequence as target; in an application stage, the central brain signals of the diseased side are collected in real time to output the central intention latent space feature sequences, the mapping model is input to predict the collaborative activation coefficient sequence, and the multi-channel functional electrical stimulation instructions are reconstructed by using the collaborative primitive matrix and the collaborative activation coefficient sequence and applied to the limbs of the diseased side. The method realizes coordinated natural rehabilitation movements, and improves system robustness and individualization.

The invention belongs to the technical field of rehabilitation medical treatment and power-assisted robots, and particularly relates to a functional electrical stimulation-fused lower limb power-assisted exoskeleton robot, which comprises an exoskeleton mechanical body for fitting the lower limbs of a human body and providing mechanical support and motion guidance; the device has the beneficial effects that three core functions of functional electrical stimulation, mechanical massage and air bag assistance are integrated, an activation, circulation and support synergistic system is constructed, the rehabilitation and exercise assisting effect is greatly improved, the first electrode slice realizes reciprocating dynamic discharge through air-driven control, the first electrode slice is matched with the fixed arc plate for linkage adjustment, the leg is tightly attached, and the rehabilitation effect is greatly improved. A target muscle group is accurately activated, a rubber massage ball is matched with a sliding protrusion through a spiral groove, composite massage, circulation promotion through cooperation with electrical stimulation and fatigue relieving are completed, an air bag and a hollow sliding frame share an air path, acupoint stimulation is strengthened during expansion, auxiliary fitting is achieved, and meanwhile the adjustable support, the adaptive structure and the elastic buffering design can be flexibly adapted to different leg characteristics. And the adaptability and the comfort are both considered.

This invention relates to the fields of rehabilitation medicine, brain-computer interfaces, and functional electrical stimulation, and discloses an alternating synergistic stimulation control method suitable for asymmetric gait. The invention collects various baseline data from the patient's healthy and affected sides, calculates the initial asymmetry, and initializes training parameters based on the baseline data. After configuration, the patient undergoes rehabilitation training, and various training data are collected in real time. The training process is controlled in real time, and the phase synchronization rate and cumulative asymmetry are calculated based on the training data, thereby optimizing the training parameters in a closed-loop manner. This invention solves the specific problem of asymmetric gait in hemiplegic patients, significantly improves gait coordination and neural remodeling efficiency, and is applicable to lower limb rehabilitation devices such as brain-computer interface rehabilitation treadmills, possessing extremely high clinical application value.

The invention discloses a functional electrical stimulation signal generating circuit shared by low frequency and intermediate frequency. The circuit comprises a first signal control circuit, a second signal control circuit and an electrical stimulation signal output circuit, according to the invention, the electrical stimulation signal generating circuit shared by low frequency and intermediate frequency is generated through a single circuit, the design of electrical stimulation equipment is simplified, the system cost is reduced, and the use convenience and flexibility of the equipment are improved. The whole circuit can output stable and demand-meeting electrical stimulation signals, and is suitable for different electrical stimulation treatment requirements.

A portable and wearable hand-grasp neuro-orthosis is configured for use in a home environment to restore volitionally controlled grasp functions for a subject with a cervical spinal cord injury (SCI). The neuro-orthosis may include: a wearable sleeve with electrodes; electronics for operating the wearable sleeve to perform functional electrical stimulation (FES) and electromyography (EMG), the electronics configured for mounting on a wheelchair; and a controller configured for mounting on a wheelchair. The controller controls the electronics to read EMG via the sleeve, decode the read EMG to determine an intent of the user, and operate the electronics to apply FES via the sleeve to implement the intent of the user. The neuro-orthosis may restore hand function. The controller may include a display arranged to be viewed by the subject, for example mounted on an articulated arm attached to the wheelchair.

1. The name of the design product: individual brain event-related brain function analysis graphical user interface of electronic equipment. 2. The use of the design product: an electronic device. 3. The design points of the design product: the content of the graphical user interface. 4. The picture or photo that best indicates the design points: design 1 interface change state diagram 2. 5. Design 1 is designated as the basic design. 6. The use of the graphical user interface: the present graphical user interface is used for individual brain event-related brain function analysis. 7. The human-computer interaction mode of the graphical user interface: design 1 main view is a patient management interface, which can create a patient file and add a task; clicking icon A of design 1 main view enters design 1 interface change state diagram 1 to create an individual brain background, which shows the position of electrodes on the patient's brain, and the specific interface is shown in design 1 interface change state 1 reference diagram; clicking "next step" of design 1 interface change state diagram 1 enters design 1 interface change state diagram 2 to create a task-based brain function area positioning map, which characterizes the activation degree of electrode nodes by color. Design 2 main view is a patient management interface, which can create a patient file and add a task; clicking icon B of design 2 main view enters design 2 interface change state diagram 1 to create an individual brain background, which shows the position of electrodes on the patient's brain, and the specific interface is shown in design 2 interface change state 1 reference diagram; clicking "enter Mapping" of design 2 interface change state diagram 1 enters design 2 interface change state diagram 2, which can create and edit intraoperative and bedside functional electrical stimulation on the individual brain background.