Training parameter adjusting method and device based on rehabilitation training of upper and lower limbs and medium
By obtaining patient identity information, setting personalized training parameters and adjusting them in real time, the problem that traditional upper and lower limb rehabilitation training methods cannot adapt to patients' needs is solved, and personalized and efficient rehabilitation training effects are achieved.
Patent Information
- Application Number
- CN202510375909.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-03-27
- Publication Date
- 2025-07-22
AI Technical Summary
Traditional upper and lower limb rehabilitation training methods cannot personalize training parameters according to the specific needs of patients, resulting in poor training results.
By obtaining the patient's identity information, using the management system of the upper and lower limb rehabilitation training seats to set personalized training parameters, and adjust the parameters in real time based on the training data to provide active and passive rehabilitation training modes to ensure that the training plan meets the actual needs of the patient.
Personalized rehabilitation training is achieved, which improves the effectiveness and adaptability of the training, ensures that the training process is always in the best state, and enhances the rehabilitation effect and safety.
Smart Images
Figure CN120346503A_ABST
Abstract
Description
Technical Field
[0001] This specification relates to the technical field of rehabilitation training, and particularly to a method, device, and medium for adjusting training parameters based on upper and lower limb rehabilitation training. Background Art
[0002] In the field of rehabilitation training, upper and lower limb rehabilitation training is a systematic training for patients with physical function impairments, aiming to restore or enhance the patient's motor ability, strength, endurance, and coordination. Upper and lower limb rehabilitation training is a process of helping patients recover the functions of the upper and lower limbs through specific movements and activities after injury, illness, or surgery.
[0003] Traditional upper and lower limb rehabilitation training methods usually require medical staff to conduct a preliminary assessment and setting according to the specific situation of the patient, and then let the patient perform training according to a fixed program. Since the rehabilitation needs and physical conditions of each patient are different, the fixed training parameters may not meet the needs of all patients, resulting in poor training effects. Summary of the Invention
[0004] One or more embodiments of this specification provide a method, device, and medium for adjusting training parameters based on upper and lower limb rehabilitation training to solve the technical problems raised in the background art.
[0005] One or more embodiments of this specification adopt the following technical solutions:
[0006] A method for adjusting training parameters based on upper and lower limb rehabilitation training provided by one or more embodiments of this specification, the method includes:
[0007] Before a designated user performs upper and lower limb rehabilitation training, obtain the identity information of the designated user;
[0008] Log in to the management system of the upper and lower limb rehabilitation training seat based on the identity information, and obtain the training parameters corresponding to the designated user;
[0009] Set the upper and lower limb rehabilitation training seat based on the training parameters, and perform upper and lower limb rehabilitation training on the designated user based on the set upper and lower limb rehabilitation training seat to obtain training data;
[0010] Adjust the training parameters based on the training data to obtain adjusted training parameters;
[0011] Associate the adjusted training parameters with the identity information, and replace the training parameters with the adjusted training parameters so that when the designated user performs upper and lower limb rehabilitation training next time, set the upper and lower limb rehabilitation training seat based on the adjusted training parameters.
[0012] It should be noted that the embodiments of this specification have the following beneficial effects through the following content:
[0013] Personalized rehabilitation training: By obtaining the identity information of a specified user, the system can generate personalized training parameters based on the user's personal data (such as age, gender, condition, rehabilitation goals, etc.), thus ensuring that the training plan better meets the actual needs of the user and improving the effectiveness of training.
[0014] Improved training effect: The upper and lower limb rehabilitation training based on personalized training parameters can more precisely adapt to the patient's physical condition and rehabilitation progress, avoiding poor training effects caused by inappropriate training parameters.
[0015] Real-time monitoring and adjustment: By collecting training data, the system can monitor the patient's training process in real time and adjust the training parameters according to the data feedback to ensure that the training is always in the best state.
[0016] Furthermore, the upper and lower limb rehabilitation training includes an active upper and lower limb rehabilitation training mode and a passive upper and lower limb rehabilitation training mode. The training parameters include the first training parameters corresponding to the active upper and lower limb rehabilitation training mode and the second training parameters corresponding to the passive upper and lower limb rehabilitation training mode. The training data includes the first training data corresponding to the active upper and lower limb rehabilitation training mode and the second training data corresponding to the passive upper and lower limb rehabilitation training mode.
[0017] It should be noted that the embodiments of this specification have the following beneficial effects through the following content:
[0018] Multi-mode training adaptability: By providing an active upper and lower limb rehabilitation training mode and a passive upper and lower limb rehabilitation training mode, the system can meet the rehabilitation needs of different patients. The active mode is applicable when the patient has certain mobility, while the passive mode is applicable when the patient's mobility is limited, thus improving the adaptability of training.
[0019] Personalized training parameter setting: Different training parameters (the first training parameters and the second training parameters) are set for the active and passive training modes respectively, making the training parameters more precisely match the patient's specific rehabilitation stage and ability.
[0020] Improved rehabilitation effect: By selecting the appropriate training mode and parameters according to the patient's actual situation, the patient's rehabilitation can be more effectively promoted and the rehabilitation effect can be improved.
[0021] Data analysis ability: Collecting the training data (the first training data and the second training data) in the two training modes helps the system conduct more comprehensive data analysis and provide a scientific basis for adjusting the training plan.
[0022] Further, set the upper and lower limb rehabilitation training seat based on the training parameters, and perform upper and lower limb rehabilitation training on the designated user based on the set upper and lower limb rehabilitation training seat to obtain training data, including:
[0023] Adjust the upper and lower limb rehabilitation training seat to the active upper and lower limb rehabilitation training mode, and set the upper and lower limb rehabilitation training seat based on the first training parameter;
[0024] Based on the set upper and lower limb rehabilitation training seat, perform upper and lower limb rehabilitation training on the designated user, and obtain the first training data corresponding to the active upper and lower limb rehabilitation training mode;
[0025] Adjust the upper and lower limb rehabilitation training seat to the passive upper and lower limb rehabilitation training mode, and set the upper and lower limb rehabilitation training seat based on the second training parameter;
[0026] Based on the set upper and lower limb rehabilitation training seat, perform upper and lower limb rehabilitation training on the designated user, and obtain the second training data corresponding to the passive upper and lower limb rehabilitation training mode.
[0027] It should be noted that the embodiments of this specification have the following beneficial effects through the following content:
[0028] Adaptive training environment: By setting the upper and lower limb rehabilitation training seat according to the training parameters, a personalized training environment suitable for the user's rehabilitation needs can be provided, whether it is the active or passive training mode.
[0029] Precise parameter control: In the active upper and lower limb rehabilitation training mode, accurately setting the seat based on the first training parameter helps to simulate a real exercise environment and improve the accuracy and effectiveness of training.
[0030] Enhanced rehabilitation effect: In the passive upper and lower limb rehabilitation training mode, adjusting the seat through the second training parameter can safely assist the patient in performing passive movements, promote blood circulation and muscle relaxation, and enhance the rehabilitation effect.
[0031] Data collection and analysis: By obtaining the training data in the two training modes, doctors and rehabilitation therapists can more comprehensively understand the patient's rehabilitation progress and provide a basis for formulating or adjusting the rehabilitation plan.
[0032] Further, the adjustment of the training parameters includes the first adjustment training parameter and the second adjustment training parameter. Adjusting the training parameters based on the training data to obtain the adjusted training parameters includes:
[0033] Adjust the first training parameter based on the first training data to obtain the first adjusted training parameter;
[0034] Adjust the second training parameters based on the second training data to obtain second adjusted training parameters.
[0035] It should be noted that the embodiments of this specification have the following beneficial effects through the following content:
[0036] Personalized rehabilitation plan: By adjusting the training parameters based on the training data, it can ensure that the rehabilitation plan is more personalized and better adapts to the specific conditions and rehabilitation needs of each patient.
[0037] Dynamic rehabilitation adjustment: According to the actual training data of the patient, the system can dynamically adjust the training parameters, making the rehabilitation training more flexible and able to respond in a timely manner to the patient's rehabilitation progress.
[0038] Improve training effect: By precisely adjusting the first adjusted training parameters and the second adjusted training parameters, the training process can be optimized, the training effect can be improved, and the patient's rehabilitation speed can be accelerated.
[0039] Data-driven rehabilitation: Using the first training data and the second training data to adjust the training parameters reflects the concept of data-driven rehabilitation, making the rehabilitation process more scientific and precise.
[0040] Furthermore, the upper and lower limb rehabilitation training includes an active upper and lower limb rehabilitation training mode and a passive upper and lower limb rehabilitation training mode. The training parameters are the third training parameters corresponding to the passive upper and lower limb rehabilitation training mode, and the training data includes the third training data corresponding to the active upper and lower limb rehabilitation training mode and the fourth training data corresponding to the passive upper and lower limb rehabilitation training mode.
[0041] Furthermore, setting the upper and lower limb rehabilitation training seat based on the training parameters, and performing upper and lower limb rehabilitation training on the designated user based on the set upper and lower limb rehabilitation training seat to obtain training data, includes:
[0042] Adjust the upper and lower limb rehabilitation training seat to the active upper and lower limb rehabilitation training mode, and obtain the third training data corresponding to the active upper and lower limb rehabilitation training mode during the process of the designated user independently performing upper and lower limb rehabilitation training;
[0043] Adjust the upper and lower limb rehabilitation training seat to the passive upper and lower limb rehabilitation training mode, and set the upper and lower limb rehabilitation training seat based on the third training parameters;
[0044] Based on the set upper and lower limb rehabilitation training seat, perform upper and lower limb rehabilitation training on the designated user to obtain the fourth training data corresponding to the passive upper and lower limb rehabilitation training mode.
[0045] It should be noted that the embodiments of this specification have the following beneficial effects through the following content:
[0046] Adaptive training adjustment: The third training data obtained in the active upper and lower limb rehabilitation training mode can be used to adjust the training seat, making the passive upper and lower limb rehabilitation training mode (the fourth training data) more adaptable to the specific conditions of the patient.
[0047] Improve training efficiency: Using the data obtained from active upper and lower limb training to guide the parameter setting of passive training can ensure a more efficient training process and avoid unnecessary training steps.
[0048] Enhance training safety: Adjusting the seat parameters based on the active training data helps to avoid unnecessary harm to the patient during passive training and improve the safety of training.
[0049] Furthermore, the adjusted training parameters include the third adjusted training parameter, and adjusting the training parameters based on the training data to obtain the adjusted training parameter includes:
[0050] Adjusting the third training parameter based on the third training data and the fourth training data to obtain the third adjusted training parameter.
[0051] It should be noted that the embodiments of this specification have the following beneficial effects through the following content:
[0052] Precision training: By analyzing the third training data and the fourth training data and adjusting the third training parameter, the rehabilitation needs of the patient can be more precisely matched, improving the pertinence of training.
[0053] Personalized rehabilitation plan: Adjusting the training parameters based on the specific training data of the patient can formulate a personalized rehabilitation plan to meet the rehabilitation goals of different patients.
[0054] Furthermore, the training data includes one or more of average speed, speed extreme value, speed change interval, and speed change amount; the training parameters include one or more of exercise intensity, exercise duration, and exercise frequency.
[0055] It should be noted that the embodiments of this specification have the following beneficial effects through the following content:
[0056] Training effect evaluation: By collecting training data such as average speed, speed extreme value, speed change interval, and speed change amount, the training effect of the patient can be more comprehensively evaluated and the exercise performance can be understood.
[0057] Personalized training plan: Using these data, a personalized training plan can be formulated or adjusted to ensure that the training intensity and duration are suitable for the specific conditions of the patient.
[0058] Exercise intensity control: By adjusting the exercise intensity (such as the speed extreme value), the difficulty of training can be controlled to avoid overtraining or under-training.
[0059] Exercise duration optimization: According to the data of the exercise duration (such as the average speed), the duration of training and the rest interval can be optimized to improve the training efficiency.
[0060] Exercise frequency adjustment: By analyzing the exercise frequency (such as the speed change amount), the optimal training frequency can be determined to promote continuous rehabilitation or training progress.
[0061] A training parameter adjustment device based on upper and lower limb rehabilitation training provided by one or more embodiments of this specification includes:
[0062] At least one processor; and,
[0063] A memory communicatively connected to the at least one processor; wherein,
[0064] The memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can:
[0065] Before a designated user performs upper and lower limb rehabilitation training, obtain the identity information of the designated user;
[0066] Log in to the management system of the upper and lower limb rehabilitation training seat based on the identity information and obtain the training parameters corresponding to the designated user;
[0067] Set the upper and lower limb rehabilitation training seat based on the training parameters, and perform upper and lower limb rehabilitation training on the designated user based on the set upper and lower limb rehabilitation training seat to obtain training data;
[0068] Adjust the training parameters based on the training data to obtain adjusted training parameters;
[0069] Associate the adjusted training parameters with the identity information, and replace the training parameters with the adjusted training parameters so that when the designated user performs upper and lower limb rehabilitation training next time, the upper and lower limb rehabilitation training seat is set based on the adjusted training parameters.
[0070] A non-volatile computer storage medium provided by one or more embodiments of this specification stores computer-executable instructions, and when the computer-executable instructions are executed by a computer, they can:
[0071] Before a designated user performs upper and lower limb rehabilitation training, obtain the identity information of the designated user;
[0072] Log in to the management system of the upper and lower limb rehabilitation training seat based on the identity information, and obtain the training parameters corresponding to the specified user;
[0073] Set the upper and lower limb rehabilitation training seat based on the training parameters, and perform upper and lower limb rehabilitation training on the specified user based on the set upper and lower limb rehabilitation training seat to obtain training data;
[0074] Adjust the training parameters based on the training data to obtain adjusted training parameters;
[0075] Associate the adjusted training parameters with the identity information, and replace the training parameters with the adjusted training parameters so that when the specified user performs upper and lower limb rehabilitation training next time, the upper and lower limb rehabilitation training seat is set based on the adjusted training parameters.
[0076] The above at least one technical solution adopted in the embodiments of the present specification can achieve the following beneficial effects:
[0077] Personalized rehabilitation training: By obtaining the identity information of the specified user, the system can generate personalized training parameters according to the user's personal data (such as age, gender, condition, rehabilitation goals, etc.), so as to ensure that the training plan better meets the actual needs of the user and improve the effectiveness of training.
[0078] Improve training effect: The upper and lower limb rehabilitation training based on personalized training parameters can more precisely adapt to the patient's physical condition and rehabilitation progress, and avoid poor training effects caused by inappropriate training parameters.
[0079] Real-time monitoring and adjustment: By collecting training data, the system can monitor the patient's training process in real time, adjust the training parameters according to the data feedback, and ensure that the training is always in the best state. Description of the Drawings
[0080] In order to more clearly illustrate the technical solutions in the embodiments of the present specification or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments recorded in the present specification. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts. In the drawings:
[0081] Figure 1 It is a schematic flowchart of a training parameter adjustment method based on upper and lower limb rehabilitation training provided by one or more embodiments of the present specification;
[0082] Figure 2Schematic diagram of a training parameter adjustment device for upper and lower limb rehabilitation training provided for one or more embodiments of this specification. Detailed implementation manners
[0083] Embodiments of this specification provide a training parameter adjustment method, device, and medium for upper and lower limb rehabilitation training.
[0084] To enable those skilled in the art to better understand the technical solutions in this specification, the following will clearly and completely describe the technical solutions in the embodiments of this specification with reference to the accompanying drawings in the embodiments of this specification. Obviously, the described embodiments are only some of the embodiments of this specification, rather than all of them. Based on the embodiments of this specification, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of this specification.
[0085] Figure 1 Flow chart of a training parameter adjustment method for upper and lower limb rehabilitation training provided for one or more embodiments of this specification. This process can be executed by the management system of the upper and lower limb rehabilitation training seat. Some input parameters or intermediate results in the process allow manual intervention and adjustment to help improve accuracy.
[0086] The method flow steps of the embodiments of this specification are as follows:
[0087] S101, before a specified user performs upper and lower limb rehabilitation training, obtain the identity information of the specified user.
[0088] In the embodiments of this specification, the specified user needs to register at the rehabilitation center. During the registration process, it is necessary to collect the biometric information (such as fingerprints, facial features, etc.) of the specified user and store it in the database. At the same time, the specified user needs to fill in personal information, including name, gender, age, contact information, etc., and set a username and password. When the specified user arrives at the rehabilitation training treadmill, they can place their hand on the fingerprint scanner or face the facial recognition camera. The device reads the user's biometric information and compares it with the information in the database. If the biometric information matches successfully, the system confirms the user's identity and displays the username and relevant personal information. If the biometric information does not match, the system prompts the user to try again or contact the staff.
[0089] S102, log in to the management system of the upper and lower limb rehabilitation training seat based on the identity information, and obtain the training parameters corresponding to the specified user.
[0090] In the embodiments of this specification, after logging in to the management system of the upper and lower limb rehabilitation training seat based on the identity information of a specified user, the system can query the database according to the user identity information to obtain the training parameters of this user. The training parameters can be generated according to the user's rehabilitation stage and physical condition, and the training parameters can include exercise intensity, exercise duration, and exercise frequency. Among them, the exercise intensity can be a preset exercise intensity level.
[0091] Furthermore, the identity information of the specified user includes the face information of the specified user; when logging in to the management system of the upper and lower limb rehabilitation training seat based on the identity information and obtaining the training parameters corresponding to the specified user, the face information of the specified user can be recognized through face recognition technology; if the recognition is passed, the management system of the upper and lower limb rehabilitation training seat will be successfully logged in; the training parameters corresponding to the specified user are obtained based on the face information of the specified user.
[0092] It should be noted that regarding the above content, the following specific implementation solutions can be adopted:
[0093] User identity verification and system login: The specified user stands in front of the upper and lower limb rehabilitation training seat and prepares for identity verification. The built-in face recognition system of the training seat is started, and the system is ready and waiting for the input of the user's face information. The user faces the training seat directly, ensuring sufficient facial light and no occlusion. The system captures the user's face image through the camera and compares and recognizes it with the user's face information stored in the database. If the recognition result matches, the system confirms the user's identity and prompts "Identity verification successful". The system automatically logs in to the management system of the upper and lower limb rehabilitation training seat according to the successfully verified user identity.
[0094] Obtaining training parameters: The management system queries and retrieves the user's historical training data according to the verified user identity information. The system analyzes the user's historical training data and extracts parameters related to the user's rehabilitation needs, physical condition, and training effects, such as training intensity, frequency, duration, etc. The system prepares the extracted training parameters for subsequent training programs to use.
[0095] S103, set the upper and lower limb rehabilitation training seat based on the training parameters, and perform upper and lower limb rehabilitation training on the specified user based on the set upper and lower limb rehabilitation training seat to obtain training data.
[0096] It should be noted that regarding the above S103, the following specific implementation solutions can be adopted:
[0097] Setting of the upper and lower limb rehabilitation training seat: According to the obtained training parameters, the management system sets the upper and lower limb rehabilitation training seat and adjusts the settings of the seat to match the personalized needs of the user. After the seat adjustment is completed, the system prompts the user that they can start training.
[0098] Upper and lower limb rehabilitation training and data collection: The user performs upper and lower limb rehabilitation training according to the set training program, and the seat adjusts the training parameters according to the user's actual movements and reactions. During the training process, the system can collect real-time data such as the user's movement data, force level, and heart rate.
[0099] S104. Adjust the training parameters based on the training data to obtain adjusted training parameters.
[0100] It should be noted that regarding the above S103, the following specific implementation methods can be adopted:
[0101] Training parameter adjustment: The system analyzes the collected training data and evaluates the training effect. According to the data analysis results, the system fine-tunes the training parameters and optimizes the training plan.
[0102] In the embodiments of this specification, the upper and lower limb rehabilitation training includes an active upper and lower limb rehabilitation training mode and a passive upper and lower limb rehabilitation training mode. The training parameters include first training parameters corresponding to the active upper and lower limb rehabilitation training mode and second training parameters corresponding to the passive upper and lower limb rehabilitation training mode. The training data includes first training data corresponding to the active upper and lower limb rehabilitation training mode and second training data corresponding to the passive upper and lower limb rehabilitation training mode.
[0103] It should be noted that regarding the above content, the following specific implementation methods can be adopted:
[0104] Collect training data: The training data can include training data of the active rehabilitation training mode and the passive rehabilitation training mode. In the active rehabilitation training mode, the patient trains through their own strength. The data collected may include: the patient's range of motion (ROM), the patient's force output, the patient's movement speed and rhythm, and the patient's endurance and fatigue indicators; in the passive rehabilitation training mode, the patient does not apply force actively but is trained with the help of external forces. The data collected may include: the magnitude and direction of the external force, the patient's muscle reaction and joint range of motion, and the patient's comfort and discomfort feedback.
[0105] Data analysis: Conduct a preliminary analysis of the collected first training data and second training data to understand the patient's current rehabilitation level and training effect. Analyze the trend of the patient's training data to judge the patient's rehabilitation progress and whether there is room for improvement.
[0106] Adjust training parameters: The training parameters can include the training parameters for the active rehabilitation training mode and the passive rehabilitation training mode. For the active rehabilitation training mode, the first training parameters can be adjusted according to the patient's force output and ROM, such as increasing or decreasing the range of motion, adjusting the resistance level, or changing the training rhythm. If the patient shows fatigue or discomfort, appropriately reduce the training intensity or increase the rest time; for the passive rehabilitation training mode, the second training parameters can be adjusted according to the magnitude of the external force and the patient's muscle response, such as adjusting the magnitude, direction, and point of application of the external force. If the patient reports discomfort, it may be necessary to adjust the intensity or technique of the passive training to avoid causing harm.
[0107] Implement adjustments: Update the settings of the rehabilitation training seat or equipment according to the analysis results and the adjusted training parameters. After the adjustment, let the patient perform a test training and collect their feedback to further optimize the training parameters.
[0108] It should be noted that the embodiments of this specification have the following beneficial effects through the following content:
[0109] Multi-mode training adaptability: By providing an active upper and lower limb rehabilitation training mode and a passive upper and lower limb rehabilitation training mode, the system can meet the rehabilitation needs of different patients. The active mode is suitable when the patient has a certain degree of mobility, while the passive mode is suitable when the patient's mobility is limited, thus improving the adaptability of the training.
[0110] Personalized training parameter setting: Different training parameters (the first training parameter and the second training parameter) are set for the active and passive training modes respectively, so that the training parameters can more accurately match the patient's specific rehabilitation stage and ability.
[0111] Improve the rehabilitation effect: By selecting the appropriate training mode and parameters according to the actual situation of the patient, the patient's rehabilitation can be more effectively promoted and the rehabilitation effect can be improved.
[0112] Data analysis ability: Collecting the training data (the first training data and the second training data) in the two training modes helps the system to conduct a more comprehensive data analysis and provide a scientific basis for adjusting the training plan.
[0113] Further, when setting the upper and lower limb rehabilitation training seat based on the training parameters and performing upper and lower limb rehabilitation training on the designated user based on the set upper and lower limb rehabilitation training seat to obtain training data, the upper and lower limb rehabilitation training seat can be adjusted to the active upper and lower limb rehabilitation training mode, and the upper and lower limb rehabilitation training seat is set based on the first training parameter; based on the set upper and lower limb rehabilitation training seat, upper and lower limb rehabilitation training is performed on the designated user to obtain the first training data corresponding to the active upper and lower limb rehabilitation training mode; the upper and lower limb rehabilitation training seat is adjusted to the passive upper and lower limb rehabilitation training mode, and the upper and lower limb rehabilitation training seat is set based on the second training parameter; based on the set upper and lower limb rehabilitation training seat, upper and lower limb rehabilitation training is performed on the designated user to obtain the second training data corresponding to the passive upper and lower limb rehabilitation training mode.
[0114] It should be noted that regarding the above content, the following specific implementation methods can be adopted:
[0115] Active upper and lower limb rehabilitation training: Adjust the seat to the active upper and lower limb rehabilitation training mode. Set the parameters of the seat according to the first training parameters (such as range of motion, resistance, etc.) of the designated user. Start the seat and let the user perform active training according to the set program. Collect the motion data of the user in the active training mode, including range of motion, degree of exertion, motion speed, etc.
[0116] Passive upper and lower limb rehabilitation training: Adjust the seat to the passive upper and lower limb rehabilitation training mode. Set the parameters of the seat according to the second training parameters (such as magnitude and direction of external force, etc.) of the designated user. Start the seat and let the user perform passive training according to the set program. Collect the data of the user in the passive training mode, including the magnitude of the external force, action time, muscle reaction of the patient, etc.
[0117] Data analysis: Organize and analyze the collected first training data and second training data. Analyze the data to understand the user's rehabilitation progress and training effect.
[0118] Result feedback: Feedback the analysis results to the user or medical professionals so that they can understand the progress and effect of the training. Adjust the training parameters and plan according to the analysis results and the user's feedback.
[0119] It should be noted that the embodiments of this specification have the following beneficial effects through the following content:
[0120] Adaptive training environment: By setting the upper and lower limb rehabilitation training seat according to the training parameters, a personalized training environment that adapts to the user's rehabilitation needs can be provided, whether it is the active or passive training mode.
[0121] Precise parameter control: In the active upper and lower limb rehabilitation training mode, the seat is accurately set based on the first training parameter, which helps to simulate the real sports environment and improve the accuracy and effect of training.
[0122] Enhanced rehabilitation effect: In the passive upper and lower limb rehabilitation training mode, adjusting the seat through the second training parameter can safely help patients perform passive exercises, promote blood circulation and muscle relaxation, and enhance the rehabilitation effect.
[0123] Data collection and analysis: By obtaining training data under the two training modes, doctors and rehabilitation therapists can have a more comprehensive understanding of the patient's rehabilitation progress and provide a basis for formulating or adjusting rehabilitation plans.
[0124] Furthermore, the adjusted training parameters include first adjusted training parameters and second adjusted training parameters. When the training parameters are adjusted based on the training data to obtain the adjusted training parameters, the first training parameters can be adjusted based on the first training data to obtain the first adjusted training parameters; and the second training parameters can be adjusted based on the second training data to obtain the second adjusted training parameters.
[0125] It should be noted that the above content can be implemented through the following specific implementation plans:
[0126] Adjust the first training parameter (first adjustment training parameter): If the patient's active exercise capacity is insufficient, increase the first training parameter, such as increasing resistance or extending exercise time. If the patient's range of motion is limited, gradually increase the range of motion. If the patient is fatigued, reduce the intensity of the training or increase the rest time.
[0127] Adjust the second training parameters (second adjustment training parameters): If the passive training effect is not good, adjust the second training parameters, such as increasing the external force, adjusting the external force direction or frequency. If the patient feels uncomfortable with passive training, reduce the external force or adjust the technique to reduce discomfort.
[0128] Implement adjusted training: Update the settings of the upper and lower limb rehabilitation training chair or equipment according to the adjusted training parameters. Have the patient train according to the new parameters while monitoring their performance and response.
[0129] It should be noted that the embodiments of this specification have the following beneficial effects through the following contents:
[0130] Personalized rehabilitation program: By adjusting the training parameters based on the training data, it can ensure that the rehabilitation program is more personalized and better adapted to the specific situation and rehabilitation needs of each patient.
[0131] Dynamic rehabilitation adjustment: Based on the actual training data of the patient, the system can dynamically adjust the training parameters to make the rehabilitation training more flexible and be able to respond promptly to the patient's rehabilitation progress.
[0132] Improve training effect: By precisely adjusting the first adjustment training parameter and the second adjustment training parameter, the training process can be optimized, the training effect can be improved, and the patient's rehabilitation speed can be accelerated.
[0133] Data-driven rehabilitation: Using the first training data and the second training data to adjust the training parameters reflects the concept of data-driven rehabilitation, making the rehabilitation process more scientific and precise.
[0134] Furthermore, the upper and lower limb rehabilitation training includes an active upper and lower limb rehabilitation training mode and a passive upper and lower limb rehabilitation training mode. The training parameter is the third training parameter corresponding to the passive upper and lower limb rehabilitation training mode. The training data includes the third training data corresponding to the active upper and lower limb rehabilitation training mode and the fourth training data corresponding to the passive upper and lower limb rehabilitation training mode. When setting the upper and lower limb rehabilitation training seat based on the training parameter and performing upper and lower limb rehabilitation training on the designated user based on the set upper and lower limb rehabilitation training seat to obtain training data, the upper and lower limb rehabilitation training seat can be adjusted to the active upper and lower limb rehabilitation training mode, and the third training data corresponding to the active upper and lower limb rehabilitation training mode can be obtained during the process of the designated user independently performing upper and lower limb rehabilitation training; the upper and lower limb rehabilitation training seat can be adjusted to the passive upper and lower limb rehabilitation training mode, and the upper and lower limb rehabilitation training seat can be set based on the third training parameter; based on the set upper and lower limb rehabilitation training seat, upper and lower limb rehabilitation training is performed on the designated user to obtain the fourth training data corresponding to the passive upper and lower limb rehabilitation training mode.
[0135] It should be noted that regarding the above content, the following specific implementation schemes can be adopted:
[0136] Active upper and lower limb rehabilitation training: Adjust the seat to the active upper and lower limb rehabilitation training mode. Guide the user to independently perform upper and lower limb rehabilitation training to ensure correct movements. During the training process, collect the third training data through sensors and data recording devices, including the range of motion, force output, speed, etc.
[0137] Passive upper and lower limb rehabilitation training: Adjust the seat to the passive upper and lower limb rehabilitation training mode. Based on the third training data, adjust the third training parameter to optimize the effect of passive training. Let the user perform passive upper and lower limb rehabilitation training, and the seat automatically moves according to the adjusted parameters. During the passive training process, collect the fourth training data through sensors and data recording devices, including the magnitude of the external force, the acting time, muscle response, etc.
[0138] Analyze the third training data: Evaluate the effect of active training and adjust the third training parameters as needed.
[0139] Analyze the fourth training data: Evaluate the effect of passive training and adjust the third training parameters as needed.
[0140] It should be noted that the embodiments of this specification have the following beneficial effects through the following content:
[0141] Adaptive training adjustment: The third training data obtained in the active upper and lower limb rehabilitation training mode can be used to adjust the training seat, making the passive upper and lower limb rehabilitation training mode (fourth training data) more adaptable to the specific situation of the patient.
[0142] Improve training efficiency: Using the data obtained from active upper and lower limb training to guide the parameter setting of passive training can ensure a more efficient training process and avoid unnecessary training steps.
[0143] Enhance training safety: Adjusting the seat parameters based on active training data helps to avoid unnecessary harm to the patient during passive training and improve the safety of training.
[0144] Furthermore, the adjusted training parameters include the third adjusted training parameters. When adjusting the training parameters based on the training data to obtain the adjusted training parameters, the third training data and the fourth training data can be used to adjust the third training parameters to obtain the third adjusted training parameters.
[0145] It should be noted that regarding the above content, the following specific implementation methods can be adopted:
[0146] Clarify the third training parameters: Determine the key parameters in the passive upper and lower limb rehabilitation training mode, such as resistance magnitude, frequency, duration, etc.
[0147] Clarify the fourth training data: Determine the data points to be collected, such as muscle activity, joint angle, external force magnitude, the patient's physiological reaction, etc.
[0148] Collect the third training data: Before the start of passive upper and lower limb rehabilitation training, collect the initial third training data as a benchmark.
[0149] Collect the fourth training data: At the same time, collect the fourth training data to evaluate the patient's reaction and training effect.
[0150] Analysis of the third training data: Analyze the third training data and evaluate the effect of passive training, including the patient's tolerance, muscle strength, and joint range of motion.
[0151] Analysis of the fourth training data: Analyze the fourth training data to understand the patient's physiological reaction and the specific situation during the training process.
[0152] Adjust the third training parameter: If the patient has good tolerance but insufficient muscle strength, the resistance can be appropriately increased or the training time can be extended. If the patient shows discomfort or fatigue, the resistance may need to be reduced or the training frequency adjusted.
[0153] Formulate the third adjusted training parameter: Combine the third training data and the fourth training data to formulate the third adjusted training parameter. These parameters should aim to improve the training effect while ensuring the safety and comfort of the patient.
[0154] Implement the adjusted training: Update the relevant settings of the upper and lower limb rehabilitation training equipment according to the third adjusted training parameter. Guide the patient to perform passive upper and lower limb rehabilitation training based on the new parameter.
[0155] Collect the adjusted training data: During the adjusted training, continue to collect the third training data to evaluate the effect of the parameter adjustment. At the same time, collect the fourth training data to monitor the patient's reaction and adaptation.
[0156] Evaluate and feedback: Compare the third training data and the fourth training data before and after the adjustment to evaluate the effect of the parameter adjustment. Collect the patient's feedback to understand their feelings and experiences about the new parameter.
[0157] Iterative adjustment: If the adjusted parameter improves the training effect, maintain the current parameter; if the effect is not good, adjust the third training parameter again. Record each parameter adjustment and the corresponding training data to track the patient's rehabilitation progress.
[0158] It should be noted that the embodiments of this specification have the following beneficial effects through the following content:
[0159] Precision training: By analyzing the third training data and the fourth training data and adjusting the third training parameter, the rehabilitation needs of the patient can be more precisely matched, improving the pertinence of the training.
[0160] Personalized rehabilitation plan: Based on the specific training data of the patient to adjust the training parameter, a personalized rehabilitation plan can be formulated to meet the rehabilitation goals of different patients.
[0161] S105. Associate the adjusted training parameter with the identity information, and replace the training parameter with the adjusted training parameter, so that when the designated user performs upper and lower limb rehabilitation training next time, the upper and lower limb rehabilitation training seat is set based on the adjusted training parameter.
[0162] It should be noted that regarding the above S105, the following specific implementation solutions can be adopted:
[0163] Store training parameters: Establish a database to store the training parameters of all users, including default parameters and adjusted parameters. Associate the training parameters of each user with their identity information to ensure that personalized training parameters can be quickly retrieved based on the user's identity.
[0164] Replace training parameters: Save the adjusted training parameters to the database and ensure that these parameters are associated with the user's identity information. Replace the original training parameters with the adjusted training parameters.
[0165] Set the upper and lower limb rehabilitation training seat: When the user is performing upper and lower limb rehabilitation training, the system identifies the user's identity. Based on the identified user identity, the system retrieves and loads the corresponding adjusted training parameters from the database. The upper and lower limb rehabilitation training seat is automatically set according to these parameters to prepare for training.
[0166] Perform upper and lower limb rehabilitation training: The user starts to perform upper and lower limb rehabilitation training. The system monitors the training process to ensure that the seat is set correctly and adjusts the training parameters as needed.
[0167] Furthermore, the training data includes one or more of average speed, speed extreme value, speed change interval, and speed change amount; the training parameters include one or more of exercise intensity, exercise duration, and exercise frequency.
[0168] It should be noted that the embodiments of this specification have the following beneficial effects through the following content:
[0169] Training effect evaluation: By collecting training data such as average speed, speed extreme value, speed change interval, and speed change amount, the training effect of the patient can be evaluated more comprehensively to understand the exercise performance.
[0170] Personalized training plan: Using these data, a personalized training plan can be formulated or adjusted to ensure that the training intensity and duration are suitable for the specific situation of the patient.
[0171] Exercise intensity control: By adjusting the exercise intensity (such as speed extreme value), the difficulty of training can be controlled to avoid overtraining or undertraining.
[0172] Exercise duration optimization: According to the data of exercise duration (such as average speed), the duration of training and rest intervals can be optimized to improve training efficiency.
[0173] Exercise frequency adjustment: By analyzing the exercise frequency (such as speed change amount), the optimal training frequency can be determined to promote continuous rehabilitation or training progress.
[0174] Figure 2 The structural schematic diagram of a training parameter adjustment device for upper and lower limb rehabilitation training provided by one or more embodiments of this specification includes:
[0175] at least one processor; and,
[0176] a memory communicatively connected to the at least one processor; wherein,
[0177] the memory stores instructions executable by the at least one processor, and when the instructions are executed by the at least one processor, the at least one processor is enabled to:
[0178] before a designated user performs upper and lower limb rehabilitation training, obtain the identity information of the designated user;
[0179] log in to the management system of the upper and lower limb rehabilitation training seat based on the identity information, and obtain the training parameters corresponding to the designated user;
[0180] set the upper and lower limb rehabilitation training seat based on the training parameters, and perform upper and lower limb rehabilitation training on the designated user based on the set upper and lower limb rehabilitation training seat to obtain training data;
[0181] adjust the training parameters based on the training data to obtain adjusted training parameters;
[0182] associate the adjusted training parameters with the identity information, and replace the training parameters with the adjusted training parameters so that when the designated user performs upper and lower limb rehabilitation training next time, the upper and lower limb rehabilitation training seat is set based on the adjusted training parameters.
[0183] A non - volatile computer storage medium provided by one or more embodiments of this specification stores computer - executable instructions, and when the computer - executable instructions are executed by a computer, they can implement:
[0184] before a designated user performs upper and lower limb rehabilitation training, obtain the identity information of the designated user;
[0185] log in to the management system of the upper and lower limb rehabilitation training seat based on the identity information, and obtain the training parameters corresponding to the designated user;
[0186] set the upper and lower limb rehabilitation training seat based on the training parameters, and perform upper and lower limb rehabilitation training on the designated user based on the set upper and lower limb rehabilitation training seat to obtain training data;
[0187] adjust the training parameters based on the training data to obtain adjusted training parameters;
[0188] Associate the adjusted training parameters with the identity information, and replace the training parameters with the adjusted training parameters so that when the specified user next conducts upper and lower limb rehabilitation training, the upper and lower limb rehabilitation training seat is set based on the adjusted training parameters.
[0189] Each embodiment in this specification is described in a progressive manner. For the same or similar parts among the embodiments, reference can be made to each other. Each embodiment focuses on the differences from other embodiments. In particular, for the device and non-volatile computer storage medium embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can refer to the partial description of the method embodiments.
[0190] Each embodiment in this specification is described in a progressive manner. For the same or similar parts among the embodiments, reference can be made to each other. Each embodiment focuses on the differences from other embodiments.
[0191] Those of ordinary skill in the art can realize that the units and algorithm steps of each example described in combination with the embodiments disclosed herein can be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are executed in a hardware or software manner depends on the specific application and design constraints of the technical solution. Professional technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of this application.
[0192] The units described as separate components may or may not be physically separated. The components shown as units may or may not be physical units, that is, they may be located in one place, or may be distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.
[0193] In addition, in each embodiment of this application, the functional units can be integrated in a processing unit, or each unit can exist physically alone, or two or more units can be integrated in one unit. The above units can be implemented in the form of hardware or in the form of software.
[0194] When the integrated module / unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, to implement all or part of the processes in the above-described embodiment methods of the present application, it can also be completed by instructing relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by a processor, the steps of the above-described various method embodiments can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in the form of source code, object code, executable file, or some intermediate form, etc. The computer-readable medium can include: any entity or device capable of carrying the computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disc, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signal, telecommunication signal, and software distribution medium, etc. It should be noted that the content included in the computer-readable medium can be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, the computer-readable medium does not include electrical carrier signals and telecommunication signals.
[0195] The above-described embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements for some of the technical features; and these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the various embodiments of the present application, and should all be included in the protection scope of the present application.
Claims
1. A training parameter adjustment method based on upper and lower limb rehabilitation training, characterized in that, The method includes: Before a designated user performs upper and lower limb rehabilitation training, obtain the identity information of the designated user; Log in to the management system of the upper and lower limb rehabilitation training seat based on the identity information, and obtain the training parameters corresponding to the designated user; Set the upper and lower limb rehabilitation training seat based on the training parameters, and perform upper and lower limb rehabilitation training on the designated user based on the set upper and lower limb rehabilitation training seat to obtain training data; Adjust the training parameters based on the training data to obtain adjusted training parameters; Associate the adjusted training parameters with the identity information, and replace the training parameters with the adjusted training parameters so that when the designated user performs upper and lower limb rehabilitation training next time, set the upper and lower limb rehabilitation training seat based on the adjusted training parameters.
2. The method according to claim 1, wherein The upper and lower limb rehabilitation training includes an active upper and lower limb rehabilitation training mode and a passive upper and lower limb rehabilitation training mode. The training parameters include first training parameters corresponding to the active upper and lower limb rehabilitation training mode and second training parameters corresponding to the passive upper and lower limb rehabilitation training mode. The training data includes first training data corresponding to the active upper and lower limb rehabilitation training mode and second training data corresponding to the passive upper and lower limb rehabilitation training mode.
3. The method according to claim 2, wherein The setting of the upper and lower limb rehabilitation training seat based on the training parameters, and performing upper and lower limb rehabilitation training on the designated user based on the set upper and lower limb rehabilitation training seat to obtain training data includes: Adjust the upper and lower limb rehabilitation training seat to the active upper and lower limb rehabilitation training mode, and set the upper and lower limb rehabilitation training seat based on the first training parameters; Based on the set upper and lower limb rehabilitation training seat, perform upper and lower limb rehabilitation training on the designated user to obtain first training data corresponding to the active upper and lower limb rehabilitation training mode; Adjust the upper and lower limb rehabilitation training seat to the passive upper and lower limb rehabilitation training mode, and set the upper and lower limb rehabilitation training seat based on the second training parameters; Based on the set upper and lower limb rehabilitation training seat, perform upper and lower limb rehabilitation training on the designated user to obtain second training data corresponding to the passive upper and lower limb rehabilitation training mode.
4. The method according to claim 3, characterized in that, The adjusted training parameters include first adjusted training parameters and second adjusted training parameters. The adjustment of the training parameters based on the training data to obtain adjusted training parameters includes: Adjust the first training parameters based on the first training data to obtain first adjusted training parameters; Adjust the second training parameters based on the second training data to obtain second adjusted training parameters.
5. The method according to claim 1, wherein The upper and lower limb rehabilitation training includes an active upper and lower limb rehabilitation training mode and a passive upper and lower limb rehabilitation training mode. The training parameters are third training parameters corresponding to the passive upper and lower limb rehabilitation training mode. The training data includes third training data corresponding to the active upper and lower limb rehabilitation training mode and fourth training data corresponding to the passive upper and lower limb rehabilitation training mode.
6. The method according to claim 5, characterized in that Set the upper and lower limb rehabilitation training seat based on the training parameters, and perform upper and lower limb rehabilitation training on the designated user based on the set upper and lower limb rehabilitation training seat to obtain training data, including: Adjust the upper and lower limb rehabilitation training seat to the active upper and lower limb rehabilitation training mode, and obtain the third training data corresponding to the active upper and lower limb rehabilitation training mode during the process of the designated user independently performing upper and lower limb rehabilitation training; Adjust the upper and lower limb rehabilitation training seat to the passive upper and lower limb rehabilitation training mode, and set the upper and lower limb rehabilitation training seat based on the third training parameters; Based on the set upper and lower limb rehabilitation training seat, perform upper and lower limb rehabilitation training on the designated user, and obtain the fourth training data corresponding to the passive upper and lower limb rehabilitation training mode.
7. The method according to claim 6, wherein The adjustment of the training parameters includes the third adjustment training parameter. Adjusting the training parameters based on the training data to obtain adjusted training parameters includes: Adjust the third training parameter based on the third training data and the fourth training data to obtain the third adjusted training parameter.
8. The method according to claim 1, wherein The training data includes one or more of average speed, speed extreme value, speed change interval, and speed change amount; the training parameters include one or more of exercise intensity, exercise duration, and exercise frequency.
9. A training parameter adjustment device based on upper and lower limb rehabilitation training, characterized in that, Including: At least one processor; And, A memory communicatively connected to the at least one processor; wherein, The memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can: Before the designated user performs upper and lower limb rehabilitation training, obtain the identity information of the designated user; Log in to the management system of the upper and lower limb rehabilitation training seat based on the identity information, and obtain the training parameters corresponding to the designated user; Set the upper and lower limb rehabilitation training seat based on the training parameters, and perform upper and lower limb rehabilitation training on the designated user based on the set upper and lower limb rehabilitation training seat to obtain training data; Adjust the training parameters based on the training data to obtain adjusted training parameters; Associate the adjusted training parameters with the identity information, and replace the training parameters with the adjusted training parameters so that when the designated user performs upper and lower limb rehabilitation training next time, set the upper and lower limb rehabilitation training seat based on the adjusted training parameters.
10. A non-volatile computer storage medium, characterized in that, Stores computer-executable instructions that, when executed by a computer, can achieve: Before the designated user performs upper and lower limb rehabilitation training, obtain the identity information of the designated user; Log in to the management system of the upper and lower limb rehabilitation training seat based on the identity information, and obtain the training parameters corresponding to the designated user; Set the upper and lower limb rehabilitation training seat based on the training parameters, and perform upper and lower limb rehabilitation training on the designated user based on the set upper and lower limb rehabilitation training seat to obtain training data; Adjust the training parameters based on the training data to obtain adjusted training parameters; Associate the adjusted training parameters with the identity information, and replace the training parameters with the adjusted training parameters so that when the designated user next conducts upper and lower limb rehabilitation training, the upper and lower limb rehabilitation training seat is set based on the adjusted training parameters.