A rehabilitation training system based on dynamic regulation

Abstract

The present invention discloses a rehabilitation training system based on dynamic regulation, which belongs to the technical field of medical rehabilitation training, and includes a medical assessment module, a mirror simulation training module, a language and cognitive training module, a personalized pain perception regulation module, a progress prediction module, a dynamic regulation module, a social interaction module, and an emotional interaction promotion module. The present invention discloses a rehabilitation training system based on dynamic regulation, and the entire rehabilitation training system based on dynamic regulation can realize medical assessment patient classification, mirror simulation training, language and cognitive training, progress prediction and dynamic regulation, social interaction, emotional interaction promotion, and personalized pain perception regulation, which is helpful to carry out full-time companionship, encouragement and personalized regulation during the rehabilitation training of patients, improve the intrinsic drive of patients during rehabilitation training, improve the enthusiasm of patients during rehabilitation training and help patients build confidence, and improve the therapeutic effect of rehabilitation training.

Description

Technical Field

[0001] The present invention relates to the technical field of medical rehabilitation training, and specifically to a rehabilitation training system based on dynamic regulation. Background Art

[0002] Movement disorders refer to diseases or symptoms that affect the body's motor functions, language disorders refer to diseases or symptoms that affect language ability, and cognitive disorders refer to disorders that affect thinking, memory, attention, learning and judgment. Rehabilitation training for movement disorders, language disorders and cognitive disorders is a process of improving and restoring affected functions through specially designed physical, language and cognitive training. This rehabilitation training aims to improve functional independence and promote autonomous living by practicing and reshaping damaged neural pathways, establishing new cognitive strategies;

[0003] In the process of rehabilitation training for patients with existing motor, language and cognitive disorders, the treatment cycle is long, and it is difficult for the patients' family members to accompany the patients during rehabilitation training, resulting in poor subjective initiative of the patients during rehabilitation training, and passive training is likely to affect the rehabilitation training effect of the patients, and there is a problem of low practicality. In addition, during the rehabilitation training, non-invasive cranial nerve stimulation technology and electromyography electrical stimulation technology are often used as auxiliary treatment for the rehabilitation training of patients. However, different patients have different pain perceptions for electrical and magnetic stimulation. Excessive pain can easily make patients resist treatment, and lower intensity cannot produce excellent treatment effects.

[0004] In response to the above, this case proposes a rehabilitation training system based on dynamic regulation, which solves the above technical problems by adding a personalized pain perception regulation module and an emotional interaction promotion module. Summary of the invention

[0005] The present invention aims to solve at least one of the technical problems existing in the prior art. To this end, the present invention proposes a rehabilitation training system based on dynamic adjustment, which solves the above technical problem by improving the detection method and the processing method.

[0006] In order to achieve the above object, the present invention adopts the following technical solutions:

[0007] A rehabilitation training system based on dynamic regulation, including a medical assessment module, a mirror simulation training module, a language and cognitive training module, a personalized pain perception regulation module, a progress prediction module, a dynamic regulation module, a social interaction module, and an emotional interaction promotion module;

[0008] The medical assessment module determines the specific type of the patient based on the patient's medical history and comprehensive assessment of the condition;

[0009] The mirror simulation training module is aimed at patients with movement disorders. It conducts movement disorder rehabilitation training based on the mirror neuron principle combined with simulation training, and assists in treatment through electromyography electrical stimulation technology;

[0010] The language and cognitive training module provides rehabilitation training for patients with cognitive and language disorders, cognitive training for patients with impaired cognitive function, and interactive training for patients with language disorders for rehabilitation training;

[0011] The personalized pain perception regulation module combines non-invasive brain nerve stimulation technology and electromyography electrical stimulation technology to provide auxiliary treatment for patients with movement disorders and cognitive or language disorders, and performs personalized pain perception regulation in combination with the patient's pain sensation during treatment;

[0012] The progress prediction module predicts the patient's subsequent rehabilitation training progress based on the first week training effect of the training module and combines big data analysis, and generates a prediction report and a training plan;

[0013] The dynamic adjustment module dynamically adjusts the training plan according to the prediction report of the progress prediction module and the training plan, combined with the patient's subsequent rehabilitation training effect;

[0014] The social interaction module establishes a social interaction platform, where patients can communicate and share experiences with other patients, rehabilitation therapists, and medical staff, encourage each other, and build confidence;

[0015] The emotional interaction promotion module records the voices and photos of the patient's family members, combines AI synthesis technology to synthesize the voices of the patient's family members into special voices, and inputs the special voices into the mirror simulation training module, language and cognitive training module, and personalized pain perception regulation module to provide positive motivation for the patient's rehabilitation training.

[0016] Furthermore, the medical assessment module collects the patient's information, including medical history, physiological indicators, and personal information, based on the patient's medical history, and performs medical tests on the patient, including motor function assessment, cognitive ability test, and language ability test, to determine the patient's type, including motor disorder, cognitive or language disorder, and uses different rehabilitation training modules for rehabilitation training according to the patient's type;

[0017] The mirror simulation training module is designed for patients with movement disorders based on the mirror neuron principle combined with simulation training to simulate the patient's specific movement movements, including grip strength training and gait training. Through virtual reality technology, a virtual non-injured limb is displayed to perform the same movement to stimulate mirror neurons. The patient is given movement disorder rehabilitation training. During the rehabilitation training, the patient's diseased muscle activity is detected by electromyography, and electrical stimulation is applied to the diseased muscle through electrical stimulation technology to generate corresponding movement responses and promote the rehabilitation of the diseased neurons.

[0018] The language and cognitive training module provides rehabilitation training for patients with cognitive and language disorders, provides cognitive training for patients with impaired cognitive functions, including training tasks for memory, attention, and abstract thinking, and provides interactive training for patients with language disorders. Combined with speech recognition technology, it provides patients with voice interactive rehabilitation training tasks and feedback;

[0019] Memory training: Design a variety of memory training tasks, including memorizing graphics, words, and events, to help patients improve their memory function;

[0020] Attention training: Provides attention concentration and distraction training tasks to help patients improve their attention levels and ability to focus;

[0021] Abstract thinking training: Design abstract logical reasoning and problem-solving training tasks to cultivate patients' abstract thinking and logical reasoning abilities;

[0022] Voice interaction training: Using voice recognition technology, we provide patients with voice interaction rehabilitation training tasks, including speech comprehension, voice expression, and vocabulary training;

[0023] The progress prediction module analyzes the first-week training effects of the patients in the mirror simulation training module and the language and cognitive training module in combination with historical big data, predicts the progress of the patients' subsequent rehabilitation training treatment, and generates a prediction report;

[0024] The dynamic adjustment module dynamically adjusts the training plan according to the prediction report of the progress prediction module and the subsequent rehabilitation training effect of the patient. The specific steps are as follows:

[0025] Monitor the effectiveness of patients' subsequent rehabilitation training and collect relevant data, including completion of training tasks, improvement of cognitive and language abilities, and patients' compliance;

[0026] Prediction report analysis: Combined with the prediction report generated by the progress prediction module, evaluate the difference between the prediction result and the actual training effect, set the evaluation threshold based on historical data, evaluate the training effect and dynamically adjust it, evaluate and adjust the rehabilitation training plan to make it more in line with the patient's actual rehabilitation needs;

[0027] The social interaction module establishes a social interaction platform, through which patients can communicate with other patients, rehabilitation therapists, and medical staff, share their experience in rehabilitation training, and discuss problems encountered during rehabilitation training, so as to promote patients with positive motivation.

[0028] Furthermore, the emotional interaction promotion module records the voices and photos of the patient's family members, combines the AI ​​synthesis technology, synthesizes the voices of the patient's family members into special voices, and inputs the special voices into the mirror simulation training module, language and cognitive training module, and positively motivates the patient's rehabilitation training status. The specific steps are:

[0029] Information entry: Establish a patient information database, record and save the voices and photos of the patient's family members, including pictures of the patient's good memories in the past, words of encouragement and support for the patient, and pictures of the patient's favorite things;

[0030] Set incentive nodes: divide the training plan of the patient in the mirror simulation training module or the language and cognitive training module into nodes according to the patient's condition. The division is based on the number of rehabilitation training sessions and the intensity level of rehabilitation training.

[0031] Voice synthesis: Use AI technology to synthesize the voice recorded by the patient's family members, and set positive incentives for the patient during rehabilitation training to improve the patient's subjective initiative during rehabilitation training;

[0032] Combination of nodes and rewards: For patients who reach the motivational nodes for rehabilitation training, a segment is randomly selected from the recorded voices of relatives and family members for playback, and a recall picture is set at the key node. When the patient completes the node, positive encouragement is given to the patient through a combination of voice and pictures.

[0033] Furthermore, the emotional interaction promotion module will synthesize the voice recorded by the patient's family through AI technology to achieve the effect of accompanying and encouraging the patient throughout the rehabilitation training process. The specific steps are:

[0034] Recorded sound processing: Perform Fourier fast transform on each voice frame in the recorded voice of the patient's family members, and enhance the voice through spectral subtraction. The specific algorithm formula is as follows:

[0035] The discrete Fourier transform is used to convert the time domain data into frequency domain data. The algorithm formula is:

[0036]

[0037] In the above formula, e represents the base of the natural logarithm, j represents the imaginary unit, Σ represents the sum, and the length of the time domain signal is N, which is represented by x[0], x[1], ..., x[N-1], X(k) represents the complex representation of the frequency domain signal, and k represents the frequency signal;

[0038] The spectrum signal X(k) of each frame is processed for sound enhancement. For each frequency sequence number k, the spectrum subtraction algorithm is processed. The specific algorithm formula is:

[0039]

[0040] In the above formula, X(k) represents the spectrum signal of the original frame, and N(k) represents the estimated noise spectrum signal. The specific formula is:

[0041] Noise estimation is performed using the average of the spectra of the previous and next frames:

[0042] Finally, the enhanced spectrum signal Perform inverse fast Fourier transform to obtain enhanced time domain signal, extract features of enhanced speech, convert speech data into digital feature vectors through Mel frequency cepstral coefficients, and extract feature vectors through neural network to generate a model;

[0043] Based on the trained model, the specified input text information is synthesized to generate artificial synthesized speech similar to the family member's speech. By controlling the speech generation speed and adjusting the timbre, the generated speech is optimized and input into the node.

[0044] Furthermore, the emotional interaction promotion module is provided with an encouragement and reward mechanism, and its specific implementation steps are as follows:

[0045] Set n nodes, where each node value is C1, C2, ..., C n , each node contains a piece of audio or photo, the total number of training times is U, the reward threshold t and the number of reward training times h are set, and the reward contains additional special photos or audio;

[0046] When U>C1, U>C2,…, U>C n , an encouragement is triggered, that is, an audio or photo contained in the node is unlocked for the patient to watch;

[0047] The reward training times are h. Each time a training is completed, the number of times h increases by 1. When h < t, it means that the reward threshold t has not been reached, and the reward is not triggered;

[0048] When h=t, it means that the reward threshold t is reached, then the reward is triggered and the h value is reset to zero;

[0049] The emotional interaction promotion module will also input special audio into the personalized pain perception regulation module to assist non-invasive brain stimulation and electromyography electrical stimulation technology.

[0050] Furthermore, the personalized pain perception regulation module combines the non-invasive cranial nerve stimulation technology and the electromyography electrical stimulation technology in the mirror simulation training module to provide supervision and promotion for patients with movement disorders and cognitive or language disorders while providing auxiliary treatment, including transcranial magnetic stimulation technology and transcutaneous electrical stimulation technology, and combines the patient's treatment body sensation to perform personalized pain perception regulation. The specific steps are:

[0051] Comprehensive assessment: Conduct a comprehensive assessment of the patient's current condition to determine the patient's specific situation and treatment needs, including clinical assessment, neurophysiological testing, and brain imaging;

[0052] Set treatment goals: Determine the patient's treatment goals based on the assessment results, and treat patients with movement disorders and those with language and cognitive disorders separately;

[0053] Transcranial magnetic stimulation therapy: An electromagnetic coil is placed on the patient's scalp to generate a magnetic field to stimulate specific areas of the brain, which is used to change the neuronal activity and connectivity of the patient's brain and treat neurological diseases;

[0054] Transcutaneous electrical stimulation therapy: electrodes are placed on the patient's scalp to apply weak direct current stimulation to the patient, stimulating the patient's prefrontal cortex, regulating the excitability and inhibition of brain neurons, improving the patient's cognitive function, treating neurological diseases and promoting brain rehabilitation;

[0055] Electromyography stimulation therapy: By electrically stimulating the affected muscles of the patient, the patient can feel the feedback of the movement execution, promote neuronal rehabilitation, and assist the rehabilitation of patients with movement disorders;

[0056] Personalized pain regulation: According to the patients' pain sensation during transcranial magnetic stimulation, transcutaneous electrical stimulation and electromyography stimulation, the pain intensity is divided into three levels: A, B, and C, where A indicates strong pain sensation, B indicates moderate pain sensation, and C indicates weak pain sensation. Different levels of patients are treated with different treatment intensities and regulation strategies in combination with the special audio of the emotional interaction promotion module.

[0057] Furthermore, the personalized pain perception adjustment module will adopt different treatment intensities and adjustment strategies for patients of different levels in combination with the special audio of the emotional interaction promotion module according to the patient's somatosensory intensity during the treatment process. The specific method is as follows:

[0058] For Class C patients, i.e. patients with weak pain sensation, the intensity of transcranial magnetic stimulation, transcutaneous electrical stimulation and electromyography stimulation will be gradually increased during the treatment process. During the treatment process, special audio will be used to communicate with the patients to relax their perception of pain and improve the treatment effect by gradually increasing the intensity of treatment.

[0059] For Class B patients, i.e. patients with moderate pain sensation, the special audio of the emotional interaction promotion module is used to encourage and support the patients during the treatment process, reduce the patients' resistance to the pain of treatment, make the patients gradually relax during the treatment process to reduce the perception of pain, and encourage the patients to persist and complete the treatment through the special audio.

[0060] For Class A patients, that is, patients with strong pain sensation, since the patients feel very strong pain, normal intensity level of treatment can easily cause patients to resist, resulting in slow progress of subsequent treatment. For Class A patients, first reduce the intensity of transcranial magnetic stimulation, transcutaneous electrical stimulation and electromyography stimulation treatment, so that the pain sensation intensity of Class A patients is at a medium level. Special audio is used to encourage and guide patients to enhance their confidence in resisting pain and control over pain perception, reduce their resistance, and provide periodic rewards to patients with pictures of good memories to help build confidence in treatment and gradually increase the intensity of treatment to a normal level.

[0061] Furthermore, the prediction report generated by the progress prediction module is combined to evaluate the difference between the prediction result and the actual training effect. The evaluation threshold is set in combination with historical data to evaluate and dynamically adjust the actual rehabilitation training effect. The specific steps are as follows:

[0062] Combined with historical patient rehabilitation training data and prediction reports, the rehabilitation degree and recovery status of previous patients at each node in the prediction report are graded, with values ​​between 1 and 10, and the average is calculated. The specific algorithm formula is:

[0063]

[0064] in, is the average value of the node's historical rating, k1+k2+…+k i is the sum of the graded values ​​in i data;

[0065] Combined with the average of historical ratings The training status of the patient is evaluated, and the specific algorithm formula is:

[0066] when When , the node rehabilitation training situation is judged to be excellent, that is, S level;

[0067] when or When , the rehabilitation training of this node is judged to be excellent, that is, grade A;

[0068] when When , the node rehabilitation training situation is judged to be general, that is, level B;

[0069] when When , the rehabilitation training condition of the node is judged to be very poor, that is, grade C;

[0070] Combined with the ratings S, A, B, and C of the above nodes, the patient's rehabilitation training plan is dynamically adjusted. For patients rated S, the rehabilitation training plan is accelerated and the intensity of rehabilitation training is increased to speed up the patient's recovery. For patients rated A, the intensity of rehabilitation training is maintained and continuously observed. For patients rated B and C, the rehabilitation training plan is evaluated and adjusted to make it more in line with the patient's actual rehabilitation needs.

[0071] Furthermore, the personalized pain perception regulation module also includes patient pain control training, including physical and mental relaxation training and treatment environment optimization. The specific method is:

[0072] Physical and mental relaxation training: Guide patients to perform deep and slow breathing exercises, including abdominal breathing exercises and mindful breathing exercises, to help improve blood oxygen levels and relax the body and mind, reduce pain perception and enhance pain control;

[0073] Optimization of treatment environment: Optimize the environment during the patient's treatment, adjust the lighting in the treatment area, use soft and comfortable lighting to create a relaxing and quiet atmosphere, and play soothing, gentle music or natural sounds during electrical stimulation treatment to relax the patient's emotions and reduce pain perception.

[0074] Compared with the prior art, the present invention has the following beneficial effects:

[0075] 1. In the present invention, through the emotional interaction promotion module, the voices of the patient's family members and the patient's good memory pictures are collected and imported into the mirror simulation training module and the language and cognitive training module. During the rehabilitation training, the patient is accompanied and encouraged throughout the whole process. The patient can hear the voices of the family members and watch the good memory pictures, and can feel the company of the family members psychologically, which generates a sense of security and emotional support, helps to alleviate loneliness and depression, improve the effect of rehabilitation training, and reduce anxiety and fear of difficulties and challenges in rehabilitation training;

[0076] 2. In the present invention, the voice and pictures of the patient's family members can accompany the patient throughout the treatment, solving the problem that the rehabilitation training cycle is too long and the family members cannot always be with the patient. The voice and pictures of the family members can stimulate the patient's inner motivation, improve the patient's enthusiasm for rehabilitation training through the reward and encouragement mechanism, become a positive incentive in the patient's rehabilitation training process, stimulate the patient to participate in the training more actively, and provide the effect of rehabilitation training;

[0077] 3. In the present invention, for patients with cognitive impairment, the voices of relatives and pictures of good memories can also serve as cognitive stimulation, which helps patients with memory, language and cognitive training, promotes the recovery and improvement of brain function, and also promotes the recovery and improvement of patients' cognitive function. Hearing the voices of relatives and seeing familiar pictures can help patients recall related people, events and situations, thereby strengthening memory and associative ability;

[0078] 4. In the present invention, the personalized pain perception adjustment module and the emotional interaction promotion module cooperate with each other to grade the pain perception of patients during the treatment of non-invasive cranial nerve stimulation technology and electromyography electrical stimulation technology, and adopt different adjustment methods for patients with different pain levels. In addition, the special audio of the emotional interaction promotion module is used to encourage and guide patients during the treatment process, reduce patients' resistance to treatment, enhance patients' confidence in resisting pain and control of pain perception, assist in building confidence in treatment, reduce anxiety and fear, and improve treatment effects;

[0079] 5. In the present invention, for patients with obvious pain perception, special audio and control of breathing and environment are used to help patients relax their bodies during treatment and reduce their perception of pain. Family members are encouraged by audio to build up patients' confidence. The patients' physical and mental relaxation and active participation in treatment are helpful to speed up the recovery process, better adapt to the pain during treatment, and gradually restore the intensity of treatment to normal or even higher levels, thereby improving the treatment effect.

[0080] 6. In the present invention, through the progress prediction module and the dynamic adjustment module, the patient's rehabilitation training plan is combined with the effect of the first week of rehabilitation training, and is rated according to big data analysis. For those with excellent rehabilitation training effects, the speed can be appropriately accelerated, and for those with excellent and average rehabilitation training effects, the schedule can be maintained and observed. For those with very poor rehabilitation training effects, the schedule can be evaluated and adjusted. Dynamic adjustment can be made according to the individual rehabilitation training effects, which can maximize the potential of patients, ensure that they receive the most suitable treatment, ensure that each patient can obtain a training plan that suits their own rehabilitation situation, and improve the rehabilitation training effect.

[0081] The entire rehabilitation training system based on dynamic regulation can realize medical assessment patient classification, mirror simulation training, language and cognitive training, progress prediction and dynamic regulation, social interaction, emotional interaction promotion, and personalized pain perception regulation. It helps to provide full-time companionship, encouragement and personalized regulation for patients during rehabilitation training, improve and stimulate the intrinsic motivation of patients during rehabilitation training, increase the enthusiasm of patients during rehabilitation training, help patients build confidence, and improve the therapeutic effect of rehabilitation training. BRIEF DESCRIPTION OF THE DRAWINGS

[0082] Figure 1 This is a block diagram of a rehabilitation training system based on dynamic adjustment of the present invention. DETAILED DESCRIPTION

[0083] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0084] like Figure 1 As shown, a rehabilitation training system based on dynamic regulation includes a medical assessment module, a mirror simulation training module, a language and cognitive training module, a personalized pain perception regulation module, a progress prediction module, a dynamic regulation module, a social interaction module, and an emotional interaction promotion module;

[0085] The medical assessment module determines the patient's type based on the patient's medical history and condition assessment;

[0086] The medical assessment module collects the patient's information, including medical history, physiological indicators, and personal information, based on the patient's medical record, and conducts medical tests on the patient, including motor function assessment, cognitive ability test, and language ability test, to determine the patient's type, including movement disorder, cognitive or language disorder, and uses different rehabilitation training modules for rehabilitation training according to the patient's type.

[0087] It should be noted that in the medical assessment module, it is crucial to understand the patient's complete medical history and collect detailed information, including the patient's medical history, physiological indicators, personal information, etc., which will help the medical team fully understand the patient's condition and needs. When conducting medical tests, it covers motor function assessment, cognitive ability test, language ability test and other aspects of the assessment, to help medical staff comprehensively assess the patient's health status, and then determine the type of patient, including movement disorder, cognitive disorder or language disorder. Different types of rehabilitation training need to vary according to the patient's condition. Therefore, based on the assessment results, medical staff can develop personalized rehabilitation training plans for patients to maximize the patient's rehabilitation and functional recovery and improve the effectiveness of rehabilitation training.

[0088] The mirror simulation training module is aimed at patients with movement disorders. It conducts movement disorder rehabilitation training based on the mirror neuron principle combined with simulation training, and assists in treatment through electromyography electrical stimulation technology;

[0089] The mirror simulation training module is designed for patients with movement disorders based on the mirror neuron principle combined with simulation training. Simulation training scenarios are simulated to simulate patients performing specific movement movements, including grip strength exercises and gait training. Virtual reality technology is used to display a virtual non-injured limb performing the same movement to stimulate mirror neurons. During the rehabilitation training, electromyography is used to detect the muscle activity on the diseased side of the patient, and electrical stimulation is used to apply electrical stimulation to the diseased muscles to produce corresponding movement responses and promote the rehabilitation of the neurons on the diseased side.

[0090] It should be noted that according to the principle of mirror neurons, by allowing patients to observe the normal movements of the healthy limbs, this "mirror" simulation can stimulate the patient's muscle motor area to promote the regeneration of neurons on the affected side and the recovery of motor function. Patients undergo rehabilitation training through simulated movements and try to imitate the movements of the virtual limbs according to the guidance and feedback of the system to help patients rebuild the connection between motor neurons, promote the regeneration of neural pathways and the recovery of muscle control, and use electromyography electrical stimulation technology to assist in the treatment of patients with movement disorders.

[0091] The language and cognitive training module provides rehabilitation training for patients with cognitive and language disorders, cognitive training for patients with impaired cognitive function, and interactive training for patients with language disorders;

[0092] The language and cognitive training module provides rehabilitation training for patients with cognitive and language disorders, provides cognitive training for patients with impaired cognitive functions, including training tasks for memory, attention, and abstract thinking, and provides interactive training for patients with language disorders. Combined with speech recognition technology, it provides patients with voice interactive rehabilitation training tasks and feedback;

[0093] Memory training: Design a variety of memory training tasks, including memorizing graphics, words, and events, to help patients improve their memory function;

[0094] Attention training: Provides attention concentration and distraction training tasks to help patients improve their attention levels and ability to focus;

[0095] Abstract thinking training: Design abstract logical reasoning and problem-solving training tasks to cultivate patients' abstract thinking and logical reasoning abilities;

[0096] Voice interaction training: Using voice recognition technology, we provide patients with voice interaction rehabilitation training tasks, including speech comprehension, voice expression, and vocabulary training.

[0097] It should be noted that the language and cognitive training module is designed to provide personalized rehabilitation training for patients with cognitive and language disorders. Through memory, attention and abstract thinking training tasks, as well as voice interaction training, the patient's cognitive function and language ability are improved. Through memory training, attention training, abstract thinking training, and voice interaction training, different personalized rehabilitation training is carried out for patients with cognitive and language disorders.

[0098] The progress prediction module predicts the patient's subsequent rehabilitation training progress based on the first week's training effect of the training module and combines big data analysis, and generates a prediction report and training plan;

[0099] The progress prediction module analyzes the first-week training effects of patients in the mirror simulation training module and the language and cognitive training module in combination with historical big data, predicts the progress of patients' subsequent rehabilitation training treatment, and generates a prediction report.

[0100] It should be noted that by analyzing the results of the patient's first week of training, including the actual performance and progress of mirror simulation training, language and cognitive training, and combining historical rehabilitation training big data, the progress prediction module can use various data-driven analysis technologies, including machine learning algorithms and pattern recognition technology, to predict the patient's future rehabilitation training progress. The prediction report will provide a detailed analysis and prediction of the patient's subsequent rehabilitation training treatment progress, including the speed of rehabilitation and the degree of improvement, which will help medical staff to better formulate personalized rehabilitation training plans and provide patients and their families with clearer rehabilitation expectations and goals.

[0101] The dynamic adjustment module dynamically adjusts the training plan based on the prediction report and training plan of the progress prediction module and the patient's subsequent rehabilitation training effect;

[0102] The dynamic adjustment module dynamically adjusts the training plan based on the prediction report of the progress prediction module and the patient's subsequent rehabilitation training effect. The specific steps are as follows:

[0103] Monitor the effectiveness of the patient's subsequent rehabilitation training and collect relevant data, including the completion of training tasks, improvement in cognitive and language abilities, and patient compliance;

[0104] Prediction report analysis: Combined with the prediction report generated by the progress prediction module, evaluate the difference between the prediction result and the actual training effect, set the evaluation threshold based on historical data, conduct evaluation and dynamic adjustment, evaluate and adjust the rehabilitation training plan to make it more in line with the patient's actual rehabilitation needs;

[0105] Combined with historical patient rehabilitation training data and prediction reports, the rehabilitation degree and recovery status of previous patients at each node in the prediction report are graded, with values ​​between 1 and 10, and the average is calculated. The specific algorithm formula is:

[0106]

[0107] in, is the average value of the node's historical rating, k1+k2+…+k i is the sum of the graded values ​​in i data;

[0108] Combined with the average of historical ratings The training status of the patient is evaluated, and the specific algorithm formula is:

[0109] when When , the node rehabilitation training situation is judged to be excellent, that is, S level;

[0110] when or When , the rehabilitation training of this node is judged to be excellent, that is, grade A;

[0111] when When , the node rehabilitation training situation is judged to be general, that is, level B;

[0112] when When , the rehabilitation training condition of the node is judged to be very poor, that is, grade C;

[0113] Combined with the ratings S, A, B, and C of the above nodes, the patient's rehabilitation training plan is dynamically adjusted. For patients rated S, the rehabilitation training plan is accelerated and the intensity of rehabilitation training is increased to speed up the patient's recovery. For patients rated A, the intensity of rehabilitation training is maintained and continuously observed. For patients rated B and C, the rehabilitation training plan is evaluated and adjusted to make it more in line with the patient's actual rehabilitation needs.

[0114] It should be noted that by collecting relevant data, we can understand the patient's actual training progress and use it as a basis for adjustment. The prediction report generated by the progress prediction module will be evaluated with the actual training effect, and the difference between the prediction results and the actual training progress will be compared. The assessment threshold is set in combination with historical data, and assessment and dynamic adjustment are performed to help medical staff better understand the patient's rehabilitation progress and make corresponding adjustments based on actual conditions to better meet the patient's actual rehabilitation needs.

[0115] Social interaction module, establishes a social interaction platform, and patients can communicate and share experiences with other patients, rehabilitation therapists, and medical staff;

[0116] The social interaction module establishes a social interaction platform, where patients can communicate with other patients, rehabilitation therapists, and medical staff, share their experience in rehabilitation training, and discuss problems encountered during rehabilitation training, so as to promote patients through positive motivation.

[0117] It should be noted that in the social interaction module, patients can communicate with people from different backgrounds, share each other's rehabilitation insights and experiences, and gain emotional support and understanding from them. Rehabilitation therapists and medical staff provide professional advice and answer patients' questions on the social interaction platform, as well as give targeted encouragement and suggestions, which positively promote patients to complete rehabilitation training.

[0118] The emotional interaction promotion module records the voices and photos of the patient's family members, combines them with AI synthesis technology, synthesizes the voices of the patient's family members into special voices, and inputs the special voices into the mirror simulation training module, language and cognitive training module, and personalized pain perception regulation module to positively motivate the patient's rehabilitation training status;

[0119] The emotional interaction promotion module records the voices and photos of the patient's family members, combines AI synthesis technology to synthesize the voices of the patient's family members into special voices, and inputs the special voices into the mirror simulation training module, language and cognitive training module to positively motivate the patient's rehabilitation training. The specific steps are as follows:

[0120] Information entry: Establish a patient information database, record and save the voices and photos of the patient's family members, including pictures of the patient's good memories in the past, words of encouragement and support for the patient, and pictures of the patient's favorite things;

[0121] Set incentive nodes: divide the training plan of the patient in the mirror simulation training module or the language and cognitive training module into nodes according to the patient's condition. The division is based on the number of rehabilitation training sessions and the intensity level of rehabilitation training.

[0122] Voice synthesis: Use AI technology to synthesize the voice recorded by the patient's family members, and set positive incentives for the patient during rehabilitation training to improve the patient's subjective initiative during rehabilitation training;

[0123] Combination of nodes and rewards: For patients who have reached the rehabilitation training motivation node, a segment is randomly selected from the recorded voices of relatives and family members for playback, and a recall picture is set at the key node. When the patient completes the node, positive encouragement is given to the patient through the combination of voice and picture;

[0124] The emotional interaction promotion module shown will synthesize the voice recorded by the patient's family through AI technology to achieve the effect of accompanying and encouraging the patient throughout the rehabilitation training process. The specific steps are:

[0125] Recorded sound processing: Perform Fourier fast transform on each voice frame in the recorded voice of the patient's family members, and perform speech enhancement through spectral subtraction. The specific algorithm formula is as follows:

[0126] The discrete Fourier transform is used to convert the time domain data into frequency domain data. The algorithm formula is:

[0127]

[0128] In the above formula, e represents the base of the natural logarithm, j represents the imaginary unit, Σ represents the sum, and the length of the time domain signal is N, which is represented by x[0], x[1], ..., x[N-1], X(k) represents the complex representation of the frequency domain signal, and k represents the frequency signal;

[0129] The spectrum signal X(k) of each frame is processed for sound enhancement. For each frequency sequence number k, the spectrum subtraction algorithm is processed. The specific algorithm formula is:

[0130]

[0131] In the above formula, X(k) represents the spectrum signal of the original frame, and N(k) represents the estimated noise spectrum signal. The specific formula is:

[0132] Noise estimation is performed using the average of the spectra of the previous and next frames:

[0133] Finally, the enhanced spectrum signal Perform inverse fast Fourier transform to obtain enhanced time domain signal, and extract features of enhanced speech. Convert speech data into digital feature vectors through Mel frequency cepstral coefficients, and then extract feature vectors through neural network to generate a model.

[0134] Based on the trained model, the specified input text information is synthesized to generate artificial synthesized speech similar to the family member's speech. The generated speech is optimized by controlling the speech generation speed and adjusting the timbre, and then input into the node;

[0135] The emotional interaction promotion module is equipped with an encouragement and reward mechanism, and its specific implementation steps are as follows:

[0136] Set n nodes, where each node value is C1, C2, ..., C n, each node contains a piece of audio or photo, the total number of training times is U, the reward threshold t and the number of reward training times h are set, and the reward contains additional special photos or audio;

[0137] When U>C1, U>C2,…, U>C n , it triggers an encouragement, that is, unlocking the audio or photo contained in the node;

[0138] The reward training times are h. Each time a training is completed, the number of times h increases by 1. When h < t, it means that the reward threshold t is not reached and the reward is not triggered.

[0139] When h=t, it means that the reward threshold t is reached, the reward is triggered, and the h value is reset to zero;

[0140] The Emotional Interaction Promotion Module will also input specially crafted audio into the Personalized Pain Perception Regulation Module to assist non-invasive brain stimulation and electromyography electrical stimulation technology.

[0141] It should be noted that by recording the voices and photos of the patient's family members through the emotional interaction promotion module, the system can generate special voices based on AI technology. The voices are similar to the original voices of the patient's family members and carry specific positive emotional elements. During the entire rehabilitation training process, the mirror simulation training module, language and cognitive training module, and personalized pain perception regulation module use these special voices and pictures of good memories to assist in enhancing the patient's positive motivation and emotional stimulation during the rehabilitation training treatment, thereby improving the effectiveness and enthusiasm of rehabilitation training.

[0142] The personalized pain perception regulation module combines non-invasive brain nerve stimulation technology and electromyography electrical stimulation technology to provide auxiliary treatment for patients with movement disorders and cognitive or language disorders, and performs personalized pain perception regulation based on the patient's pain sensation during treatment;

[0143] The personalized pain perception regulation module combines non-invasive brain nerve stimulation technology and electromyography electrical stimulation technology in the mirror simulation training module to provide auxiliary treatment for patients with movement disorders and cognitive or language disorders while providing supervision and promotion, including transcranial magnetic stimulation technology and transcutaneous electrical stimulation technology, and combines the patient's treatment body sensation to perform personalized pain perception regulation. The specific steps are:

[0144] Comprehensive assessment: Conduct a comprehensive assessment of the patient's current condition to determine the patient's specific situation and treatment needs, including clinical assessment, neurophysiological testing, and brain imaging;

[0145] Set treatment goals: Determine the patient's treatment goals based on the assessment results, and treat patients with movement disorders and those with language and cognitive disorders separately;

[0146] Transcranial magnetic stimulation therapy: An electromagnetic coil is placed on the patient's scalp to generate a magnetic field to stimulate specific areas of the brain, which is used to change the neuronal activity and connectivity of the patient's brain and treat neurological diseases;

[0147] Transcutaneous electrical stimulation therapy: electrodes are placed on the patient's scalp to apply weak direct current stimulation to the patient, stimulating the patient's prefrontal cortex, regulating the excitability and inhibition of brain neurons, improving the patient's cognitive function, treating neurological diseases and promoting brain rehabilitation;

[0148] Electromyography stimulation therapy: By electrically stimulating the affected muscles of the patient, the patient can feel the feedback of the movement execution, promote neuronal rehabilitation, and assist the rehabilitation of patients with movement disorders;

[0149] Personalized pain regulation: The pain intensity of patients during transcranial magnetic stimulation, transcutaneous electrical stimulation and electromyography stimulation is divided into three levels: A, B and C, where A indicates strong pain, B indicates moderate pain, and C indicates weak pain. Different treatment intensities and regulation strategies are used for patients of different levels in combination with the special audio of the emotional interaction promotion module.

[0150] The personalized pain perception adjustment module will use different treatment intensities and adjustment strategies for patients of different levels based on the patient's physical sensation intensity during the treatment process, combined with the special audio of the emotional interaction promotion module. The specific methods are as follows:

[0151] For Class C patients, i.e. patients with weak pain sensation, the intensity of transcranial magnetic stimulation, transcutaneous electrical stimulation and electromyography stimulation will be gradually increased during the treatment process. During the treatment process, special audio will be used to communicate with the patients to relax their perception of pain and improve the treatment effect by gradually increasing the intensity of treatment.

[0152] For Class B patients, i.e. patients with moderate pain sensation, the special audio of the emotional interaction promotion module is used to encourage and support the patients during the treatment process, reduce the patients' resistance to the pain of treatment, make the patients gradually relax during the treatment process to reduce the perception of pain, and encourage the patients to persist and complete the treatment through the special audio.

[0153] For Class A patients, i.e. patients with strong pain sensation, normal intensity treatment can easily cause resistance in patients, resulting in slow progress of subsequent treatment. For Class A patients, we first reduce the intensity of transcranial magnetic stimulation, transcutaneous electrical stimulation and electromyography stimulation to make the pain sensation of Class A patients moderate. We also encourage and guide patients through special audio to enhance their confidence in resisting pain and control over pain perception, reduce their resistance, and provide periodic rewards to patients with good memory pictures to help build their confidence in treatment, and gradually increase the intensity of treatment to normal levels.

[0154] The personalized pain perception regulation module also includes patient pain control training, including physical and mental relaxation training and treatment environment optimization. The specific methods are:

[0155] Physical and mental relaxation training: Guide patients to perform deep, slow breathing exercises, including abdominal breathing and mindful breathing exercises, to help improve blood oxygen levels and relax the body and mind, reduce pain perception and enhance pain control;

[0156] Optimization of treatment environment: Optimize the environment during the patient's treatment, adjust the lighting in the treatment area, use soft and comfortable lighting to create a relaxing and quiet atmosphere, and play soothing, gentle music or natural sounds during electrical stimulation treatment to relax the patient's mood and relieve pain.

[0157] It should be noted that the personalized pain perception regulation module combines non-invasive brain nerve stimulation technology, electromyography electrical stimulation technology in the mirror simulation training module, and the special audio of the emotional interaction promotion module to provide personalized auxiliary treatment and positive promotion for patients with movement disorders and cognitive or language disorders. The special audio of the emotional interaction promotion module is used to encourage and guide patients, reduce their resistance, enhance their confidence in resisting pain and control over pain perception, assist in building treatment confidence, and improve the intensity and effect of rehabilitation training.

[0158] The present invention provides a rehabilitation training system based on dynamic adjustment. When in use, the medical evaluation module is used to classify patients who need rehabilitation training into motor disorder categories and language and cognitive disorder categories according to the patient's information.

[0159] For patients with movement disorders, the mirror simulation training module is used to design simulation training scenarios based on the mirror neuron principle and simulate the patient's specific movement movements. Virtual reality technology is used to display a virtual non-injured limb performing the same movement to stimulate mirror neurons. Movement disorder rehabilitation training is performed for the patient, and electrical stimulation technology is used to apply electrical stimulation to the affected muscles to produce corresponding movement responses and promote the rehabilitation of the affected neurons.

[0160] For patients with cognitive and language disorders, the language and cognitive training module provides cognitive training for patients with impaired cognitive functions, including training tasks for memory, attention, and abstract thinking. Interactive training is provided for patients with language disorders. Combined with speech recognition technology, voice interaction rehabilitation training tasks and feedback are provided to patients.

[0161] Through the progress prediction module and the dynamic adjustment module, the first-week training effects of the patients in the mirror simulation training module and the language and cognitive training module are analyzed in combination with historical big data, and the progress of the patients' subsequent rehabilitation training treatment is predicted and a prediction report is generated. Combined with the patients' subsequent rehabilitation training effects, the training plan is dynamically adjusted. Then, through the social interaction module, a social interaction platform is established to allow patients to communicate with other patients, rehabilitation therapists, and medical staff, share their rehabilitation training experiences, and discuss the problems encountered during the rehabilitation training process, so as to promote patients with positive incentives;

[0162] During the entire rehabilitation training process, the emotional interaction promotion module records the voices and photos of the patient's family members, and combines the AI ​​synthesis technology to synthesize the voices of the patient's family members into special voices. The special voices are then input into the mirror simulation training module, language and cognitive training module, and personalized pain perception regulation module, forming positive motivation and encouragement during the patient's rehabilitation training process, helping the patient build confidence.

[0163] Through the personalized pain perception regulation module, the patient's pain sensation during the treatment process is graded. The non-invasive brain nerve stimulation technology, the electromyography electrical stimulation technology in the mirror simulation training module, and the special audio of the emotional interaction promotion module are combined to provide personalized auxiliary treatment and positive promotion for patients with movement disorders and cognitive or language disorders. The special audio of the emotional interaction promotion module is used to encourage and guide patients, reduce their resistance, enhance their confidence in resisting pain and control over pain perception, assist in building treatment confidence, improve the intensity and effect of rehabilitation training, and ultimately help patients complete rehabilitation training.

[0164] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A rehabilitation training system based on dynamic adjustment, characterized in that: It includes medical assessment module, mirror simulation training module, language and cognitive training module, personalized pain perception regulation module, progress prediction module, dynamic regulation module, social interaction module, and emotional interaction promotion module; The medical assessment module determines the type of patient based on the patient's medical history and condition assessment; The mirror simulation training module is aimed at patients with movement disorders. It conducts movement disorder rehabilitation training based on the mirror neuron principle combined with simulation training, and assists in treatment through electromyography electrical stimulation technology; The language and cognitive training module provides rehabilitation training for patients with cognitive and language disorders, cognitive training for patients with impaired cognitive function, and interactive training for patients with language disorders; The personalized pain perception regulation module combines non-invasive brain nerve stimulation technology and electromyography electrical stimulation technology to provide auxiliary treatment for patients with movement disorders and cognitive or language disorders, and performs personalized pain perception regulation in combination with the patient's pain sensation during treatment; The progress prediction module predicts the patient's subsequent rehabilitation training progress based on the first week training effect of the training module and combines big data analysis, and generates a prediction report and a training plan; The dynamic adjustment module dynamically adjusts the training plan according to the prediction report and training plan of the progress prediction module and the subsequent rehabilitation training effect of the patient. The specific steps are as follows: Monitor the effectiveness of the patient's subsequent rehabilitation training and collect relevant data, including the completion of training tasks, improvement in cognitive and language abilities, and patient compliance; Prediction report analysis: Combined with the prediction report generated by the progress prediction module, evaluate the difference between the prediction results and the actual training effect, set the evaluation threshold based on historical data, conduct evaluation and dynamic adjustment, evaluate and adjust the training plan to make it more in line with the patient's actual rehabilitation needs; Combined with the prediction report generated by the progress prediction module, evaluate the difference between the prediction result and the actual training effect, set the evaluation threshold based on historical data, conduct evaluation and dynamic adjustment. The specific steps are as follows: Combined with historical patient rehabilitation training data and prediction reports, the rehabilitation degree and recovery status of previous patients at each node in the prediction report are graded, with values ​​between 1 and 10, and the average is calculated. The specific algorithm formula is: in, is the average value of the node's historical rating, k1+k2+...+k i is the sum of the graded values ​​in i data; Combined with the average of historical ratings The training status of the patient is evaluated, and the specific algorithm formula is: when When , the node rehabilitation training situation is judged to be excellent, that is, S level; when or When , the rehabilitation training of this node is judged to be excellent, that is, grade A; when When , the node rehabilitation training situation is judged to be general, that is, level B; when When , the rehabilitation training condition of the node is judged to be very poor, that is, grade C; Combined with the ratings of the above nodes S, A, B, and C, the training plan of the patient is dynamically adjusted. For patients rated S, the training plan is accelerated and the intensity of rehabilitation training is increased to speed up the patient's recovery. For patients rated A, the intensity of rehabilitation training is maintained and continuously observed. For patients rated B and C, the training plan is evaluated and adjusted to better meet the patient's actual rehabilitation needs. The social interaction module establishes a social interaction platform, where patients can communicate with other patients, rehabilitation therapists, and medical staff to share their experience in rehabilitation training and discuss problems encountered during rehabilitation training, so as to motivate patients positively; The emotional interaction promotion module records the voices and photos of the patient's family members, combines the AI ​​synthesis technology, synthesizes the voices of the patient's family members into special voices, and inputs the special voices into the mirror simulation training module, the language and cognitive training module, and the personalized pain perception adjustment module to positively motivate the patient's rehabilitation training status. The specific steps are as follows: Information entry: Establish a patient information database, record and save the voices and photos of the patient's family members, including pictures of the patient's good memories in the past, words of encouragement and support for the patient, and pictures of the patient's favorite things; Set incentive nodes: divide the training plan of the patient in the mirror simulation training module or the language and cognitive training module into nodes according to the patient's condition. The division is based on the number of rehabilitation training sessions and the intensity level of rehabilitation training. Voice synthesis: Use AI technology to synthesize the voice recorded by the patient's family members, and set positive incentives for the patient during rehabilitation training to improve the patient's subjective initiative during rehabilitation training; Combination of nodes and rewards: For patients who have reached the rehabilitation training motivation node, a segment is randomly selected from the recorded voices of relatives and family members for playback, and a recall picture is set at the key node. When the patient completes the node, positive encouragement is given to the patient through the combination of voice and picture; The emotional interaction promotion module is provided with an encouragement and reward mechanism, and its specific implementation steps are as follows: Set n nodes, where each node value is C1, C2, ..., C n , each node contains a piece of audio or photo, the total number of training times is U, the reward threshold t and the number of reward training times h are set, and the reward contains additional special photos or audio; When U>C1, U>C2,…, U>C n , it triggers an encouragement, that is, unlocking the audio or photo contained in the node; The reward training times are h. Each time a training is completed, the number of times h increases by 1. When h < t, it means that the reward threshold t is not reached and the reward is not triggered. When h=t, it means that the reward threshold t is reached, the reward is triggered, and the h value is reset to zero; The emotional interaction promotion module will also input special audio into the personalized pain perception regulation module to assist non-invasive cranial nerve stimulation and electromyography electrical stimulation technology.

2. A rehabilitation training system based on dynamic adjustment according to claim 1, characterized in that: The medical assessment module collects the patient's information, including medical history, physiological indicators, and personal information, based on the patient's medical records, and performs medical tests on the patient, including motor function assessment, cognitive ability test, and language ability test, to determine the patient's type, including motor disorder, cognitive or language disorder, and uses different rehabilitation training modules for rehabilitation training according to the patient's type; The mirror simulation training module is designed for patients with movement disorders based on the mirror neuron principle combined with simulation training to simulate the patient's specific movement movements, including grip strength training and gait training. Through virtual reality technology, a virtual non-injured limb is displayed to perform the same movement to stimulate mirror neurons. The patient is given movement disorder rehabilitation training. During the rehabilitation training, the patient's diseased muscle activity is detected by electromyography, and electrical stimulation is applied to the diseased muscle through electrical stimulation technology to generate corresponding movement responses and promote the rehabilitation of the diseased neurons. The language and cognitive training module provides rehabilitation training for patients with cognitive and language disorders, provides cognitive training for patients with impaired cognitive functions, including training tasks for memory, attention, and abstract thinking, and provides interactive training for patients with language disorders. Combined with speech recognition technology, it provides patients with voice interactive rehabilitation training tasks and feedback; Memory training: Design a variety of memory training tasks, including memorizing graphics, words, and events, to help patients improve their memory function; Attention training: Provides attention concentration and distraction training tasks to help patients improve their attention level and ability to focus; Abstract thinking training: Design abstract logical reasoning and problem-solving training tasks to cultivate patients' abstract thinking and logical reasoning abilities; Voice interaction training: Using voice recognition technology, we provide patients with voice interaction rehabilitation training tasks, including speech comprehension, voice expression, and vocabulary training; The progress prediction module analyzes the first-week training effects of the patients in the mirror simulation training module and the language and cognitive training module in combination with historical big data, predicts the progress of the patients' subsequent rehabilitation training treatment, and generates a prediction report; The dynamic adjustment module dynamically adjusts the training plan according to the prediction report of the progress prediction module and the subsequent rehabilitation training effect of the patient.

3. A rehabilitation training system based on dynamic adjustment according to claim 1, characterized in that: The personalized pain perception regulation module combines the non-invasive cranial nerve stimulation technology and the electromyography electrical stimulation technology in the mirror simulation training module to provide supervision and promotion for patients with movement disorders and cognitive or language disorders while providing auxiliary treatment, including transcranial magnetic stimulation technology and transcutaneous electrical stimulation technology, and combines the patient's treatment body sensation to perform personalized pain perception regulation. The specific steps are: Comprehensive assessment: Conduct a comprehensive assessment of the patient's current condition to determine the patient's specific situation and treatment needs, including clinical assessment, neurophysiological testing, and brain imaging; Set treatment goals: Determine the patient's treatment goals based on the assessment results, and treat patients with movement disorders and those with language and cognitive disorders separately; Transcranial magnetic stimulation therapy: An electromagnetic coil is placed on the patient's scalp to generate a magnetic field to stimulate specific areas of the brain, which is used to change the neuronal activity and connectivity of the patient's brain and treat neurological diseases; Transcutaneous electrical stimulation therapy: electrodes are placed on the patient's scalp to apply weak direct current stimulation to the patient, stimulating the patient's prefrontal cortex, regulating the excitability and inhibition of brain neurons, improving the patient's cognitive function, treating neurological diseases and promoting brain rehabilitation; Electromyography stimulation therapy: By electrically stimulating the affected muscles of the patient, the patient can feel the feedback of the movement execution, promote neuronal rehabilitation, and assist the rehabilitation of patients with movement disorders; Personalized pain regulation: According to the patients' pain sensation during transcranial magnetic stimulation, transcutaneous electrical stimulation and electromyography stimulation, the pain intensity is divided into three levels: A, B, and C, where A indicates strong pain sensation, B indicates moderate pain sensation, and C indicates weak pain sensation. Different levels of patients are treated with different treatment intensities and regulation strategies in combination with the special audio of the emotional interaction promotion module.

4. A rehabilitation training system based on dynamic adjustment according to claim 3, characterized in that: The personalized pain perception adjustment module will use different treatment intensities and adjustment strategies for patients of different levels according to the patient's physical sensation intensity during the treatment process, combined with the special audio of the emotional interaction promotion module. The specific method is as follows: For Class C patients, i.e. patients with weak pain sensation, the intensity of transcranial magnetic stimulation, transcutaneous electrical stimulation and electromyography stimulation will be gradually increased during the treatment process. During the treatment process, special audio will be used to communicate with the patients to relax their perception of pain and improve the treatment effect by gradually increasing the intensity of treatment. For Class B patients, i.e. patients with moderate pain sensation, the special audio of the emotional interaction promotion module is used to encourage and support the patients during the treatment process, reduce the patients' resistance to the pain of treatment, make the patients gradually relax during the treatment process to reduce the perception of pain, and encourage the patients to persist and complete the treatment through the special audio. For Class A patients, that is, patients with strong pain sensation, since the patients feel very strong pain, normal intensity level of treatment can easily cause patients to resist, resulting in slow progress of subsequent treatment. For Class A patients, first reduce the intensity of transcranial magnetic stimulation, transcutaneous electrical stimulation and electromyography stimulation treatment, so that the pain sensation intensity of Class A patients is at a medium level. Special audio is used to encourage and guide patients to enhance their confidence in resisting pain and control over pain perception, reduce their resistance, and provide periodic rewards to patients with pictures of good memories to help build confidence in treatment and gradually increase the intensity of treatment to a normal level.

5. A rehabilitation training system based on dynamic adjustment according to claim 3, characterized in that: The personalized pain perception regulation module also includes patient pain control training, including physical and mental relaxation training and treatment environment optimization. The specific methods are: Physical and mental relaxation training: Guide patients to perform deep, slow breathing exercises, including abdominal breathing and mindful breathing exercises, to help improve blood oxygen levels and relax the body and mind, reduce pain perception and enhance pain control; Optimization of treatment environment: Optimize the environment during the patient's treatment, adjust the lighting in the treatment area, use soft and comfortable lighting to create a relaxing and quiet atmosphere, and play soothing, gentle music or natural sounds during electrical stimulation treatment to relax the patient's mood and relieve pain.

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