Rehabilitation guidance method and system based on exercise prescription

Abstract

The invention relates to the technical field of medical rehabilitation, in particular to a rehabilitation guidance method and system based on an exercise prescription. Comprising the following steps: S1, acquiring an exercise prescription sent by a doctor to a patient, and establishing a body model according to the real body state of the patient; s2, extracting prescription contents in the exercise prescription according to different rehabilitation stages, and inputting the prescription contents of the same stage to the body model according to the rehabilitation stage of the patient to perform repeated rehabilitation simulation so as to obtain simulated body states of various different results of the corresponding rehabilitation stage of the patient; through the difference extraction of the body model before and after updating, the change of the body of the patient can be accurately known, the exercise prescription is ensured to be adjusted according to the current body condition, the pertinence and effectiveness of rehabilitation treatment are improved through the personalized adjustment, the exercise prescription is recommended in combination with the feedback data of the patient, the treatment scheme can be updated in real time, and the rehabilitation effect is improved. And the method adapts to actual progress and feedback of patients, so that the treatment effect is optimized.

Description

Technical Field

[0001] The present invention relates to the field of medical rehabilitation technology, and in particular to a rehabilitation guidance method and system based on exercise prescription. Background Art

[0002] When treating patients in hospitals, doctors can only personally demonstrate exercise movements, verbally explain postoperative precautions to patients, manually shoot videos and then send the videos to patients for training. The pain points faced by doctors are: doctors have a heavy workload, lack of sufficient time and energy and reasonable methods to provide detailed guidance on exercise training for patients, lack of sufficient time for effective follow-up, and repeated rehabilitation behaviors, which also leads to a waste of limited medical resources.

[0003] At present, although a communication platform between patients and doctors is set up, it only relies on video and image feedback to inform doctors, and doctors cannot accurately understand each joint. At the same time, when patients feedback rehabilitation data to doctors, they have limited knowledge of rehabilitation expertise and do not understand some professional terms describing joints, which can easily mislead doctors and affect the rehabilitation effect of exercise prescriptions on patients. Therefore, a rehabilitation guidance method and system based on exercise prescriptions are proposed. Summary of the invention

[0004] The purpose of the present invention is to provide a rehabilitation guidance method and system based on exercise prescription to solve the problems raised in the above background technology.

[0005] In order to solve the above technical problems, one of the purposes of the present invention is to provide a rehabilitation guidance method based on exercise prescription, comprising the following steps: S1. Obtain the exercise prescription sent by the doctor to the patient and establish a body model based on the patient's actual physical condition; S2. Extracting prescription contents according to different rehabilitation stages in the exercise prescription, inputting the prescription contents of the same stage into the body model according to the patient's rehabilitation stage to perform repeated rehabilitation simulation, thereby obtaining simulated body states of various different results corresponding to the patient's rehabilitation stage; S3, introducing and analyzing the simulated body states, and obtaining a text description and a video display introduction corresponding to each simulated body state; S4, monitoring the process of the patient inputting rehabilitation data, providing auxiliary feedback based on the rehabilitation data input by the patient combined with the simulated body state, and updating the body model based on the simulated body state selected by the patient combined with the rehabilitation data as the real body state; S5. Extract the difference between the updated body model and the body model before the update to obtain the body difference data of patients at different rehabilitation stages, and then generate an exercise prescription by combining the body difference data with the rehabilitation data fed back by the patients and send it to the doctor for reference.

[0006] As a further improvement of the technical solution, the steps of S1 are as follows: S1.1. Establish a rehabilitation communication platform for doctors and patients to use together, and extract the exercise prescriptions sent by doctors to patients in the rehabilitation communication platform; S1.2. The doctor inputs the patient's physical information into the rehabilitation communication platform, and uses the physical information as the real physical state to complete the first establishment of the body model.

[0007] As a further improvement of the technical solution, the steps of S2 are as follows: S2.1. Automatically optimize the exercise prescription to generate a multi-stage plan based on the rehabilitation goals and basic physical factors set by the doctor; S2.2. Obtain the patient's current rehabilitation stage in the rehabilitation communication platform, and then send the prescription content corresponding to the rehabilitation stage to the body model for repeated rehabilitation simulation, so as to obtain a new body model with a variety of different rehabilitation results after the body model undergoes rehabilitation exercises according to the prescription content, and use the new body model as a simulated body model.

[0008] As a further improvement of the technical solution, the S2.2 sets R to represent the prescription content of the current stage, and the prescription content R is input into the body model for simulation. is the initial state of the body model, and the body model is repeatedly simulated for rehabilitation. The output of each can be used It represents the state of the body model after the i-th repeated rehabilitation simulation. All simulation results are combined to obtain the final state of the body model. , the formula is as follows:

[0009] in, is the state of the body model after the i-th rehabilitation simulation, and n is the total number of simulations.

[0010] As a further improvement of this technical solution, the steps of S3 are as follows: S3.1. extracting the simulated body model according to the limb joints, and then analyzing the state of each limb joint to obtain a text description of each limb joint of the simulated body model, and combining the text description of each limb joint to generate a text description of the simulated body state; S3.2. Generate a video based on the text description of each limb joint and the simulated body model, and combine it with the video display introduction of each limb joint to obtain a video display introduction of each limb joint and the simulated body state.

[0011] As a further improvement of the technical solution, the step of S4 is as follows: S4.1. Monitor the process of patients inputting rehabilitation data on the rehabilitation communication platform, conduct auxiliary feedback analysis based on the rehabilitation data input by the patients in combination with the simulated body state, compare the input rehabilitation data with the text description of each limb joint and the simulated body state for similarity, and display them to the patients in descending order of similarity values; S4.2. The corresponding video presentation is extracted based on the limb joint part and simulated body state selected by the patient and displayed. When the patient confirms that the selection is correct, the patient continues to input the rehabilitation data until the patient completes the input. On the contrary, when the patient confirms that the selection is incorrect, the selected limb joint part and simulated body state are cancelled and the input rehabilitation data is reset to the state where no selection is made. S4.3. When the patient confirms that the input is complete, the rehabilitation data input by the patient is combined with the selected limb joints and the simulated body state as the real body state, thereby updating the patient's body model.

[0012] As a further improvement of the technical solution, the step of S5 is as follows: S5.1. When the body model is updated, a difference is extracted between the updated body model and the body model before the update to obtain body difference data between the two body models; S5.2. Combine the physical difference data with the rehabilitation data provided by the patient to recommend and update the exercise prescription. Send the recommended updated exercise prescription to the doctor for modification reference. Then, send the exercise prescription confirmed by the doctor to the rehabilitation communication platform to update the prescription content of subsequent exercise prescriptions.

[0013] As a further improvement of the present technical solution, the formula of S5 is as follows:

[0014] in, This is the body model before the update. The updated body model, i for each joint, j for each voxel, represents the difference between the i-th joint and the j-th voxel;

[0015] in, This means summarizing the difference data of all joints and voxels to get the overall difference:

[0016] in, For the recommended exercise prescription, Rehabilitation data provided by patients. is the difference data, It is a basic exercise prescription. and is the weight coefficient.

[0017] The second object of the present invention is to provide a rehabilitation guidance system based on exercise prescription, including any one of the above-mentioned rehabilitation guidance methods based on exercise prescription, including a rehabilitation simulation unit, an auxiliary feedback unit and a prescription update unit; The rehabilitation simulation unit is used to establish a body model according to the patient's actual physical condition, and combine the body model with an exercise prescription to perform rehabilitation simulation, thereby obtaining simulated physical conditions with multiple different results; The auxiliary feedback unit is used to describe and introduce the simulated body state in words and videos, and then use the words and videos to assist the patient in inputting rehabilitation data; The prescription updating unit is used to generate an exercise prescription by combining the body difference data with the rehabilitation data fed back by the patient and send it to the doctor for reference.

[0018] Compared with the prior art, the present invention has the following beneficial effects: by extracting the difference between the body models before and after the update, the changes in the patient's body can be accurately understood to ensure that the exercise prescription is adjusted according to the current physical condition. This personalized adjustment improves the pertinence and effectiveness of rehabilitation treatment. The exercise prescription recommendation is made in combination with the patient's feedback data, and the treatment plan can be updated in real time to adapt to the patient's actual progress and feedback, thereby optimizing the treatment effect.

[0019] Exercise prescriptions provide a way for patients to continue treatment after leaving the hospital, filling the gap that doctors cannot continue to track and manage patients after they leave the hospital. Real-time updates on the rehabilitation communication platform can reflect the latest treatment plans, allowing patients and doctors to obtain the latest exercise prescriptions at any time, improving service quality. Detailed exercise prescription reports and dynamic updates allow patients to clearly understand the progress and adjustments of treatment, enhancing their trust in the treatment process. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 It is the overall flow chart of the present invention; Figure 2 A flowchart of the present invention for using body information as the real body state to complete the first establishment of a body model; Figure 3 A flowchart of using a new body model as a simulated body model in the present invention; Figure 4 A flowchart of the present invention for obtaining each limb joint position and video display introduction of simulated body state; Figure 5 A flowchart of updating a patient's body model according to the present invention; Figure 6 A flowchart of the present invention for updating the prescription content of a subsequent exercise prescription; Figure 7 This is a structural principle diagram of the rehabilitation simulation unit of the present invention.

[0021] The meaning of each number in the figure is: 10. Rehabilitation simulation unit; 20. Auxiliary feedback unit; 30. Prescription update unit. DETAILED DESCRIPTION

[0022] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not 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.

[0023] like Figure 1-Figure 7 As shown, one of the purposes of the present invention is to provide a rehabilitation guidance method based on exercise prescription, comprising the following steps: S1. Obtain the exercise prescription sent by the doctor to the patient and establish a body model based on the patient's actual physical condition; The steps of S1 are as follows: S1.1. Establish a rehabilitation communication platform for doctors and patients to use together, and extract the exercise prescriptions sent by doctors to patients in the rehabilitation communication platform. The specific work steps are as follows: Platform design and functions: Two roles are set up: doctor and patient. The doctor role has the authority to formulate and manage exercise prescriptions, can view the patient's health data, send updated exercise prescriptions, and communicate with the patient in real time. The patient role receives and views exercise prescriptions, submits training feedback and health data, and participates in interactive and educational content. Extraction and delivery of exercise prescriptions: Exercise prescriptions include exercise type, intensity, frequency, duration, and specific execution methods. The platform provides exercise prescription templates, and doctors can select or customize templates based on patient needs; Sending of exercise prescriptions: When a doctor sends an exercise prescription to a patient through the platform, the patient will receive a notification and the exercise prescription will be displayed on the platform, including a detailed training plan and precautions; Patient feedback and data submission: Patients submit exercise feedback, including the difficulty, effect, any discomfort of the training, etc., and upload training data such as number of steps, heart rate, training duration, etc. for doctors' reference. At the same time, the built-in messaging system or video call function allows doctors and patients to communicate in real time and discuss the implementation of exercise prescriptions.

[0024] If it is the first time that a doctor sends an exercise prescription, before sending the exercise prescription for the first time, the patient's recovery is evaluated based on the medical condition data entered by the patient and the patient data entered by the doctor. The evaluation is specifically performed using the AI ​​algorithm library, and the exercise prescription is sent based on the evaluation results.

[0025] S1.2. The doctor inputs the patient's physical information into the rehabilitation communication platform and uses the physical information as the real physical state to complete the first establishment of the body model. The specific working steps are as follows: Collecting patient physical information: Doctors need to collect detailed physical information from patients, including but not limited to basic physical signs, body measurements, physiological data, functional data, and medical images; Build a body model: Use a virtual reality model to describe the patient's body structure and simulate various physiological and movement states of the human body.

[0026] S2. Extracting prescription contents according to different rehabilitation stages in the exercise prescription, inputting the prescription contents of the same stage into the body model according to the patient's rehabilitation stage to perform repeated rehabilitation simulation, thereby obtaining simulated body states of various different results corresponding to the patient's rehabilitation stage; The rehabilitation communication platform has a built-in AI algorithm library. Through the rehabilitation data input by the patient, the next training content can be optimized according to the rehabilitation data. The steps of S2 are as follows: S2.1. Automatically optimize the exercise prescription to generate a multi-stage plan based on the rehabilitation goals and basic physical factors set by the doctor. The specific working steps are as follows: Determine the rehabilitation stage: The rehabilitation stage is usually divided into the early acute phase, the middle recovery phase, the late functional recovery phase, and the long-term maintenance phase; Collect exercise prescription content: According to the set rehabilitation goals and basic physical factors, automatically optimize and generate multi-stage plans, including acute phase prescription content, recovery phase prescription content, functional recovery phase prescription content, and maintenance phase prescription content.

[0027] S2.2. The patient's current rehabilitation stage is obtained in the rehabilitation communication platform, and then the prescription content corresponding to the rehabilitation stage is sent to the body model for repeated rehabilitation simulation, so as to obtain a new body model with various different rehabilitation results obtained after the body model performs rehabilitation exercises according to the prescription content, and the new body model is used as a simulation body model. The specific working steps are as follows: Obtain the patient's recovery stage: Collect the patient's basic information and rehabilitation history, which may include the patient's diagnosis, rehabilitation plan, treatment progress, etc. Recovery stage identification: Determine the patient's current recovery stage based on their recovery records and existing treatment plan; Prescription delivery: input these prescription contents into the body model, and convert the prescription data into a format that the body model can understand and execute by setting an interface; Conduct rehabilitation simulation on the body model: Instruct the body model to perform the corresponding rehabilitation training according to the input prescription content. For example, the model may simulate specific movements, postures, or treatment techniques; Simulation run: Run the simulation to record the state changes of the body model after rehabilitation exercises, including the model's physical parameters such as muscle strength, joint flexibility, etc. and functional status such as movement ability, pain level, etc.; Assume that R represents the prescription content of the current stage, and the prescription content R is input into the body model for simulation. is the initial state of the body model, and the body model is repeatedly simulated for rehabilitation. The output of each can be used It represents the state of the body model after the i-th repeated rehabilitation simulation. All simulation results are combined to obtain the final state of the body model. , the formula is as follows:

[0028] in, is the state of the body model after the i-th rehabilitation simulation, and n is the total number of simulations.

[0029] S3, introducing and analyzing the simulated body states, and obtaining a text description and a video display introduction corresponding to each simulated body state; The steps for S3 are as follows: S3.1. Extract the simulated body model according to the limb joints, then analyze the state of each limb joint, obtain the text description of each limb joint of the simulated body model, and combine the text description of each limb joint to generate a text description of the simulated body state. The specific working steps are as follows: Extract each joint of the body model, perform state analysis on each joint, generate a state vector, generate a text description of each joint based on the state vector, merge the text descriptions of all joints, and generate a text description of the overall body state. The formula is as follows:

[0030] in, For joints, represents the state vector of the i-th joint, Indicates joints The angle of the joint, usually the flexion angle of the joint, which describes the degree of rotation of the joint relative to its default or initial position. is a three-dimensional vector representing the joint Position in space, Indicates joints range of motion, which is the range through which a joint can rotate or move; Joint Angle : Describes the degree of bend or rotation of a joint. For example, the angle of the elbow joint is 90 degrees.

[0031] Joint Position : Describes the position of a joint in three-dimensional space. For example, the position of the shoulder joint is (10,5,3).

[0032] Range of motion : Describes the range of motion of a joint. For example, the range of motion of the knee joint is from 0 degrees to 150 degrees.

[0033] Pain and Discomfort: Describes pain or discomfort based on the state of the joint. For example, a joint may be painful from overuse or uncomfortable from being out of position.

[0034] The description of each joint can include the following information: Joint angle: For example, "The current angle of the shoulder joint is 45 degrees, with the shoulder slightly raised." Joint positions: For example, “The shoulder joint is located at (10,5,3) in 3D space, close to the center of the body.” Range of motion: For example, "The shoulder joint has a range of motion from 0 to 180 degrees, allowing for a wide range of rotation." Pain and discomfort: For example, "mild pain in the shoulder joint during movement, especially when reaching a 90-degree angle."

[0035] Among them, A is the overall description, which means the overall description of the simulated body state. is the text description of the i-th joint, and m is the total number of joints; The angles, positions, ranges of motion, and pain perception of all joints are combined to form a comprehensive description of the body's condition, such as: “The status of the whole body is as follows: the current angle of the shoulder joint is 45 degrees, and the position is (10,5,3); the angle of the knee joint is 120 degrees, and the position is (5,2,0); the range of motion of the shoulder joint and knee joint is 0 to 180 degrees and 0 to 150 degrees respectively. Overall, the shoulder joint has slight pain when moving, especially when lifting, while the knee joint has no obvious discomfort.” S3.2. Generate a video based on the text description of each limb joint and the simulated body model, and combine the video display introduction of each limb joint to obtain the video display introduction of each limb joint and the simulated body state. The specific working steps are as follows: Build simulation model: Use 3D modeling software to build a detailed simulation model of the body, including each limb joint; Joint animation: Create animations based on the text description of each joint. You can use the keyframe technology in the animation software to convert the angle, position and other information described into animation data; Composite video: Export the animation as a video file. You can composite it in video editing software, add descriptive text and annotations, and show the status of each joint; Video display: Combine the video clips of each joint into a complete video to show the action and status of each joint.

[0036] S4, monitoring the process of the patient inputting rehabilitation data, providing auxiliary feedback based on the rehabilitation data input by the patient combined with the simulated body state, and updating the body model based on the simulated body state selected by the patient combined with the rehabilitation data as the real body state; The steps of S4 are as follows: S4.1. Monitor the process of patients inputting rehabilitation data on the rehabilitation communication platform, conduct auxiliary feedback analysis based on the rehabilitation data input by the patients in combination with the simulated body state, compare the input rehabilitation data with the text description of each limb joint and the simulated body state for similarity, and display them to the patients from high to low according to the similarity values. The specific working steps are as follows: Patient input data: record the rehabilitation data input by the patient, including the angle, position, range of motion, etc. of each limb joint; Standardized data: Standardize the input rehabilitation data and simulated physical state data to eliminate the impact of units and ranges; Similarity calculation: Calculate the similarity between the patient input data and the simulated physical state. Different similarity metrics can be used, such as Euclidean distance, with the following formula:

[0037] in, and are the feature vectors of patient input data and simulation state, respectively, The smaller the value, the more similar. is the number of elements, is a vector The value of the i-th feature in , is a vector The value of the i-th feature in ; Feedback generation: Based on the calculated similarity, sort from high to low, generate a feedback report, and provide improvement suggestions.

[0038] S4.2. The corresponding video presentation is extracted based on the limb joint part and simulated body state selected by the patient and displayed. When the patient confirms that the selection is correct, the patient continues to input the rehabilitation data until the patient completes the input. On the contrary, when the patient confirms that the selection is incorrect, the selected limb joint part and simulated body state are cancelled and the input rehabilitation data is reset to the state where no selection is made. S4.3. When the patient confirms that the input is complete, the data entered by the patient is standardized to ensure data consistency. Then the rehabilitation data entered by the patient is combined with the selected limb joints and the simulated body state as the real body state, thereby updating the patient's body model.

[0039] S5. Extract the difference between the updated body model and the body model before the update to obtain the body difference data of patients at different rehabilitation stages, and then generate an exercise prescription by combining the body difference data with the rehabilitation data fed back by the patients and send it to the doctor for reference.

[0040] The steps of S5 are as follows: S5.1. When the body model is updated, a difference is extracted between the updated body model and the body model before the update to obtain body difference data between the two body models; S5.2. Update the exercise prescription recommendation by combining the physical difference data with the rehabilitation data fed back by the patient, send the recommended updated exercise prescription to the doctor for modification reference, and then send it to the rehabilitation communication platform according to the exercise prescription confirmed by the doctor, and update the prescription content of the subsequent exercise prescription; Calculate the difference between the models before and after the update, combine the difference data with patient feedback, generate a recommended exercise prescription, send the recommended prescription to the doctor for modification, and update the prescription confirmed by the doctor to the rehabilitation communication platform. The formula is as follows:

[0041] in, This is the body model before the update. The updated body model, i for each joint, j for each voxel, represents the difference between the i-th joint and the j-th voxel;

[0042] in, This means summarizing the difference data of all joints and voxels to get the overall difference:

[0043] in, For the recommended exercise prescription, Rehabilitation data provided by patients. is the difference data, It is a basic exercise prescription. and is the weight coefficient, which is used to adjust the influence of difference data and feedback data.

[0044] The second object of the present invention is to provide a rehabilitation guidance system based on exercise prescription, including any one of the above-mentioned rehabilitation guidance methods based on exercise prescription, including a rehabilitation simulation unit 10, an auxiliary feedback unit 20 and a prescription update unit 30; The rehabilitation simulation unit 10 is used to establish a body model according to the patient's real body state, and combine the body model with the exercise prescription to perform rehabilitation simulation, so as to obtain a variety of simulated body states with different results; The auxiliary feedback unit 20 is used to describe the simulated body state in words and display it in videos, and then use the words and videos to assist the patient in inputting rehabilitation data; The prescription updating unit 30 is used to generate an exercise prescription by combining the body difference data with the rehabilitation data fed back by the patient and send it to the doctor for reference.

[0045] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited by the above embodiments. The above embodiments and descriptions are only preferred examples of the present invention and are not intended to limit the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. A rehabilitation guidance method based on exercise prescription, characterized by: The steps include: S1. Obtain the exercise prescription sent by the doctor to the patient and establish a body model based on the patient's actual physical condition; S2. Extracting prescription contents according to different rehabilitation stages in the exercise prescription, inputting the prescription contents of the same stage into the body model according to the patient's rehabilitation stage to perform repeated rehabilitation simulation, thereby obtaining simulated body states of various different results corresponding to the patient's rehabilitation stage; S3, introducing and analyzing the simulated body states, and obtaining a text description and a video display introduction corresponding to each simulated body state; S4, monitoring the process of the patient inputting rehabilitation data, providing auxiliary feedback based on the rehabilitation data input by the patient combined with the simulated body state, and updating the body model based on the simulated body state selected by the patient combined with the rehabilitation data as the real body state; S5. Extract the difference between the updated body model and the body model before the update to obtain the body difference data of patients at different rehabilitation stages, and then generate an exercise prescription by combining the body difference data with the rehabilitation data fed back by the patients and send it to the doctor for reference.

2. A rehabilitation guidance method based on exercise prescription according to claim 1, characterized in that: The steps of S1 are as follows: S1.

1. Establish a rehabilitation communication platform for doctors and patients to use together, and extract the exercise prescriptions sent by doctors to patients in the rehabilitation communication platform; S1.

2. The doctor inputs the patient's physical information into the rehabilitation communication platform, and uses the physical information as the real physical state to complete the first establishment of the body model.

3. A rehabilitation guidance method based on exercise prescription according to claim 1, characterized in that: The steps of S2 are as follows: S2.

1. Automatically optimize the exercise prescription to generate a multi-stage plan based on the rehabilitation goals and basic physical factors set by the doctor; S2.

2. Obtain the patient's current rehabilitation stage in the rehabilitation communication platform, and then send the prescription content corresponding to the rehabilitation stage to the body model for repeated rehabilitation simulation, so as to obtain a new body model with a variety of different rehabilitation results after the body model undergoes rehabilitation exercises according to the prescription content, and use the new body model as a simulated body model.

4. A rehabilitation guidance method based on exercise prescription according to claim 3, characterized in that: S2.2 sets R to represent the prescription content of the current stage, and the prescription content R is input into the body model for simulation. is the initial state of the body model, and the body model is repeatedly simulated for rehabilitation. The output of each can be used It represents the state of the body model after the i-th repeated rehabilitation simulation. All simulation results are combined to obtain the final state of the body model. , the formula is as follows: in, is the state of the body model after the i-th rehabilitation simulation, and n is the total number of simulations.

5. The rehabilitation guidance method based on exercise prescription according to claim 1, characterized in that: The steps of S3 are as follows: S3.

1. extracting the simulated body model according to the limb joints, and then analyzing the state of each limb joint to obtain a text description of each limb joint of the simulated body model, and combining the text description of each limb joint to generate a text description of the simulated body state; S3.

2. Generate a video based on the text description of each limb joint and the simulated body model, and combine it with the video display introduction of each limb joint to obtain a video display introduction of each limb joint and the simulated body state.

6. A rehabilitation guidance method based on exercise prescription according to claim 1, characterized in that: The steps of S4 are as follows: S4.

1. Monitor the process of patients inputting rehabilitation data on the rehabilitation communication platform, conduct auxiliary feedback analysis based on the rehabilitation data input by the patients in combination with the simulated body state, compare the input rehabilitation data with the text description of each limb joint and the simulated body state for similarity, and display them to the patients in descending order of similarity values; S4.

2. The corresponding video presentation is extracted based on the limb joint part and simulated body state selected by the patient and displayed. When the patient confirms that the selection is correct, the patient continues to input the rehabilitation data until the patient completes the input. On the contrary, when the patient confirms that the selection is incorrect, the selected limb joint part and simulated body state are cancelled and the input rehabilitation data is reset to the state where no selection is made. S4.

3. When the patient confirms that the input is complete, the rehabilitation data input by the patient is combined with the selected limb joints and the simulated body state as the real body state, thereby updating the patient's body model.

7. A rehabilitation guidance method based on exercise prescription according to claim 1, characterized in that: The steps of S5 are as follows: S5.

1. When the body model is updated, a difference is extracted between the updated body model and the body model before the update to obtain body difference data between the two body models; S5.

2. Combine the physical difference data with the rehabilitation data provided by the patient to recommend and update the exercise prescription. Send the recommended updated exercise prescription to the doctor for modification reference. Then, send the exercise prescription confirmed by the doctor to the rehabilitation communication platform to update the prescription content of subsequent exercise prescriptions.

8. The rehabilitation guidance method based on exercise prescription according to claim 1, characterized in that: The formula of S5 is as follows: in, This is the body model before the update. The updated body model, i for each joint, j for each voxel, represents the difference between the i-th joint and the j-th voxel; in, This means summarizing the difference data of all joints and voxels to get the overall difference: in, For the recommended exercise prescription, Rehabilitation data provided by patients. is the difference data, It is a basic exercise prescription. and is the weight coefficient.

9. A rehabilitation guidance system based on exercise prescription, comprising a rehabilitation guidance method based on exercise prescription according to any one of claims 1 to 8, characterized in that: It comprises a rehabilitation simulation unit (10), an auxiliary feedback unit (20) and a prescription updating unit (30); The rehabilitation simulation unit (10) is used to establish a body model according to the patient's actual body condition, and to combine the body model with an exercise prescription to perform rehabilitation simulation, thereby obtaining simulated body conditions with multiple different results; The auxiliary feedback unit (20) is used to describe and introduce the simulated body state in words and video, and then use the words and video to assist the patient in inputting rehabilitation data; The prescription updating unit (30) is used to generate an exercise prescription by combining the body difference data with the rehabilitation data fed back by the patient and send the exercise prescription to the doctor for the doctor's reference.

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