Training parameter generation method, device and equipment for active and passive rehabilitation training of upper and lower limbs

Abstract

The embodiment of the invention discloses a training parameter generation method, device and equipment for active and passive rehabilitation training of upper and lower limbs, and the method comprises the steps: obtaining the identity information of a designated user before the active and passive rehabilitation training of the upper and lower limbs of the designated user; logging in a management system of an upper and lower limb active and passive rehabilitation training apparatus based on the identity information, and acquiring training data of a rehabilitation training treadmill corresponding to the specified user; based on the training data of the rehabilitation training treadmill, generating training parameters of an upper and lower limb active and passive rehabilitation training apparatus corresponding to the specified user; setting the upper and lower limb active and passive rehabilitation training apparatus based on the training parameters of the upper and lower limb active and passive rehabilitation training apparatus, and performing upper and lower limb active and passive rehabilitation training on the specified user based on the set upper and lower limb active and passive rehabilitation training apparatus.

Description

Technical Field

[0001] This specification relates to the technical field of rehabilitation training, and particularly to a method, device and equipment for generating training parameters for upper and lower limb active-passive rehabilitation training. Background Art

[0002] In the field of rehabilitation training, upper and lower limb active-passive rehabilitation training is a systematic training for patients with physical function disorders, aiming to restore or enhance the patient's motor ability, strength, endurance and coordination. Upper and lower limb active-passive 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] Currently, there are various upper and lower limb active-passive rehabilitation training devices on the market, but most of them lack the function of generating intelligent training parameters. In the prior art, the setting of upper and lower limb active-passive rehabilitation training parameters often depends on the experience and subjective judgment of rehabilitation therapists, lacking scientific basis and data support. Summary of the Invention

[0004] One or more embodiments of this specification provide a method, device, equipment and medium for generating training parameters for upper and lower limb active-passive rehabilitation training, which are used 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 generating training parameters for upper and lower limb active-passive rehabilitation training provided by one or more embodiments of this specification, the method includes:

[0007] Before a designated user performs upper and lower limb active-passive rehabilitation training, obtain the identity information of the designated user;

[0008] Log in to the management system of the upper and lower limb active-passive rehabilitation training device based on the identity information, and obtain the training data of the rehabilitation training treadmill corresponding to the designated user;

[0009] Generate the training parameters of the upper and lower limb active-passive rehabilitation training device corresponding to the designated user based on the training data of the rehabilitation training treadmill;

[0010] Set the training mode of the upper and lower limb active-passive rehabilitation training device and the parameters of the training mode based on the training parameters of the upper and lower limb active-passive rehabilitation training device, and perform upper and lower limb active-passive rehabilitation training on the designated user based on the training mode and the parameters of the training mode.

[0011] It should be noted that through the above content, the embodiments of this specification have the following beneficial effects:

[0012] Personalized training plan: By obtaining the identity information of the specified user, the system can customize a training plan for each patient to ensure the pertinence and effectiveness of the training.

[0013] Data-driven decision-making: By using the training data of the rehabilitation training treadmill, the system can generate training parameters based on scientific data analysis, reducing the dependence on the subjective judgment of rehabilitation therapists.

[0014] Improve training effect: Through the intelligently generated training parameters, the training intensity and frequency can be more precisely controlled, thus improving the rehabilitation effect of patients.

[0015] Optimize training efficiency: The automatically generated training parameters can help patients enter the appropriate training state faster, reduce unnecessary adjustment time, and improve training efficiency.

[0016] Furthermore, the training data includes speed data, exercise duration data, and displacement length change data of the soft pull rope. The speed data includes average running speed, maximum running speed, and minimum running speed.

[0017] The obtaining of the training data of the rehabilitation training treadmill corresponding to the specified user includes:

[0018] Logging in to the management system of the rehabilitation training treadmill based on the identity information and obtaining the speed data of the rehabilitation training treadmill corresponding to the specified user.

[0019] When the specified user is in the rehabilitation training area and is connected to the specified user through a soft pull rope, based on the speed data of the rehabilitation training treadmill, the specified user is rehabilitated, and the displacement length change data and exercise duration data of the soft pull rope are obtained. Among them, the soft pull rope is stretched or contracted according to the position of the specified user on the rehabilitation training treadmill.

[0020] It should be noted that through the above content, the embodiments of this specification have the following beneficial effects:

[0021] Precisely monitor the training process: By collecting speed data, exercise duration data, and displacement length change data of the soft pull rope, the training process of users can be precisely monitored to ensure the effectiveness and safety of the training.

[0022] Personalized training adjustment: According to the average running speed, maximum running speed, and minimum running speed of the user, the training intensity can be adjusted to make the training more personalized and meet the rehabilitation needs of different users.

[0023] Real-time feedback and guidance: By obtaining the displacement length change data of the soft pull rope in real time, instant feedback can be provided to users to help users correctly master the movement amplitude and strength and improve the training quality.

[0024] Improve the rehabilitation effect: By analyzing the exercise duration data and speed data, the training plan can be optimized to ensure that the training achieves the expected rehabilitation effect.

[0025] Further, obtaining the displacement length change data of the soft drawstring includes:

[0026] Obtain the displacement length of the soft drawstring;

[0027] Detect whether the displacement length is between a first preset value and a second preset value, where the first preset value is less than the second preset value;

[0028] If it is detected that the displacement length is not between the first preset value and the second preset value, obtain the first displacement length change data of the soft drawstring, and adjust the running speed of the training treadmill based on the displacement length to obtain the second displacement length change data of the soft drawstring.

[0029] It should be noted that through the above content, the embodiments of this specification have the following beneficial effects:

[0030] Speed monitoring and adjustment: By detecting the displacement length of the soft drawstring, the system can monitor whether the running speed of the training treadmill is within a safe and effective range.

[0031] Automated speed control: When it is detected that the displacement length of the soft drawstring exceeds the preset range between the first preset value and the second preset value, the system can automatically adjust the speed of the training treadmill to ensure the accuracy of the training speed.

[0032] Further, adjusting the running speed of the training treadmill based on the displacement length includes:

[0033] If the displacement length is less than the first preset value, accelerate the running speed of the training treadmill based on the displacement length;

[0034] If the displacement length is greater than the second preset value, decelerate the running speed of the training treadmill based on the displacement length.

[0035] It should be noted that through the above content, the embodiments of this specification have the following beneficial effects:

[0036] Dynamic adjustment: The embodiments of this specification allow the speed to be dynamically adjusted during training to adapt to the patient's real-time movement state and improve the adaptability of training.

[0037] Safety monitoring: When the displacement length is less than the first preset value, the acceleration training treadmill can increase the exercise intensity, but through the preset threshold, potential risks caused by excessive speed can be prevented. When the displacement length is greater than the second preset value, deceleration can prevent the patient from losing balance or exerting excessive force due to excessive speed, thereby improving safety.

[0038] Further, the accelerating the running speed of the training treadmill based on the displacement length includes:

[0039] Obtain the displacement length and speed regulation parameters corresponding to each speed regulation interval;

[0040] Based on the displacement length corresponding to each speed regulation interval, determine the first speed regulation interval in which the displacement length is located, and determine the first speed regulation parameter of the first speed regulation interval;

[0041] Accelerate the running speed of the training treadmill based on the first speed regulation parameter.

[0042] It should be noted that the embodiments of this specification have the following beneficial effects through the above content:

[0043] Precise speed control: By obtaining the displacement length and speed regulation parameters corresponding to each speed regulation interval, precise control of the speed of the training treadmill can be achieved.

[0044] Adaptive training: Adjust the speed of the training treadmill according to different displacement length intervals, making the training more adaptable to the individual's exercise ability and improving the adaptability of the training.

[0045] Safety and efficiency: Accelerating when the displacement length reaches a specific value can help the patient increase the exercise intensity while maintaining a certain speed, improving the training efficiency. Through the preset displacement length threshold, it can be ensured that the acceleration process is carried out within a safe range.

[0046] Further, the decelerating the running speed of the training treadmill based on the displacement length includes:

[0047] Obtain the displacement length and speed regulation parameters corresponding to each speed regulation interval;

[0048] Based on the displacement length corresponding to each speed regulation interval, determine the second speed regulation interval in which the displacement length is located, and determine the second speed regulation parameter of the second speed regulation interval;

[0049] Decelerate the running speed of the training treadmill based on the second speed regulation parameter.

[0050] It should be noted that the embodiments of this specification have the following beneficial effects through the above content:

[0051] Safety improvement: By precisely controlling the speed of the training treadmill, especially when deceleration is required, the exercise risk can be reduced, preventing falls or injuries caused by excessive speed.

[0052] Adapting to different needs: By setting different deceleration parameters according to different displacement length intervals, it can meet the rehabilitation needs of different patients, whether they are beginners or advanced trainers.

[0053] Personalized training: By setting multiple speed adjustment intervals and corresponding deceleration parameters, a personalized training plan can be provided to meet the physical conditions and training goals of different individuals.

[0054] Furthermore, the parameters of the training mode 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 above content:

[0056] Data-driven adjustment: Using the treadmill training data to generate training parameters, the exercise intensity, duration, and frequency can be adjusted based on the user's actual performance, improving the pertinence of training.

[0057] Furthermore, the training mode includes an active training mode and a passive training mode;

[0058] The exercise intensity includes the level of the resistance of circular motion training in the active training mode and the assisted rotation speed of circular motion training in the passive mode.

[0059] A training parameter generation device for upper and lower limb active and passive rehabilitation training provided by one or more embodiments of this specification includes:

[0060] An identity information acquisition unit, which acquires the identity information of the designated user before the upper and lower limb active and passive rehabilitation training.

[0061] A training data acquisition unit, which logs in to the management system of the upper and lower limb active and passive rehabilitation training equipment based on the identity information and acquires the training data of the rehabilitation training treadmill corresponding to the designated user.

[0062] A training parameter generation unit, which generates the training parameters of the upper and lower limb active and passive rehabilitation training equipment corresponding to the designated user based on the training data of the rehabilitation training treadmill.

[0063] A rehabilitation training setting unit, which sets the training mode and the parameters of the training mode of the upper and lower limb active and passive rehabilitation training equipment based on the training parameters of the upper and lower limb active and passive rehabilitation training equipment, and conducts upper and lower limb active and passive rehabilitation training on the designated user based on the training mode and the parameters of the training mode.

[0064] A training parameter generation device for upper and lower limb active and passive rehabilitation training provided by one or more embodiments of this specification, comprising:

[0065] At least one processor; and,

[0066] A memory communicatively connected to the at least one processor; wherein,

[0067] 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 capable of:

[0068] Before a designated user performs upper and lower limb active and passive rehabilitation training, obtain the identity information of the designated user;

[0069] Log in to the management system of the upper and lower limb active and passive rehabilitation training device based on the identity information, and obtain the training data of the rehabilitation training treadmill corresponding to the designated user;

[0070] Generate the training parameters of the upper and lower limb active and passive rehabilitation training device corresponding to the designated user based on the training data of the rehabilitation training treadmill;

[0071] Set the training mode and the parameters of the training mode of the upper and lower limb active and passive rehabilitation training device based on the training parameters of the upper and lower limb active and passive rehabilitation training device, and perform upper and lower limb active and passive rehabilitation training on the designated user based on the training mode and the parameters of the training mode.

[0072] A non-volatile computer storage medium provided by one or more embodiments of this specification, storing computer-executable instructions, and when the computer-executable instructions are executed by a computer, they can achieve:

[0073] Before a designated user performs upper and lower limb active and passive rehabilitation training, obtain the identity information of the designated user;

[0074] Log in to the management system of the upper and lower limb active and passive rehabilitation training device based on the identity information, and obtain the training data of the rehabilitation training treadmill corresponding to the designated user;

[0075] Generate the training parameters of the upper and lower limb active and passive rehabilitation training device corresponding to the designated user based on the training data of the rehabilitation training treadmill;

[0076] Set the training mode and the parameters of the training mode of the upper and lower limb active and passive rehabilitation training device based on the training parameters of the upper and lower limb active and passive rehabilitation training device, and perform upper and lower limb active and passive rehabilitation training on the designated user based on the training mode and the parameters of the training mode.

[0077] The above - mentioned at least one technical solution adopted in the embodiments of this specification can achieve the following beneficial effects:

[0078] Personalized training plan: By obtaining the identity information of a specified user, the system can customize a training plan for each patient, ensuring the pertinence and effectiveness of the training.

[0079] Data - driven decision - making: Using the training data of the rehabilitation training treadmill, the system can generate training parameters based on scientific data analysis, reducing the dependence on the subjective judgment of rehabilitation therapists.

[0080] Improve training effect: Through the intelligently generated training parameters, the training intensity and frequency can be more precisely controlled, thereby improving the rehabilitation effect of patients.

[0081] Optimize training efficiency: The automatically generated training parameters can help patients enter the appropriate training state faster, reduce unnecessary adjustment time, and improve training efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0082] In order to more clearly illustrate the technical solutions in the embodiments of this 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 this specification. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings. In the drawings:

[0083] Figure 1 It is a schematic flowchart of a method for generating training parameters for upper and lower limb active - passive rehabilitation training provided by one or more embodiments of this specification;

[0084] Figure 2 It is a schematic structural diagram of a device for generating training parameters for upper and lower limb active - passive rehabilitation training provided by one or more embodiments of this specification;

[0085] Figure 3 It is a schematic structural diagram of a device for generating training parameters for upper and lower limb active - passive rehabilitation training provided by one or more embodiments of this specification. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0086] The embodiments of this specification provide a method, a device, a device and a medium for generating training parameters for upper and lower limb active - passive rehabilitation training.

[0087] To enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of this specification. Obviously, the described embodiments are only a part of the embodiments of this specification, rather than all the embodiments. 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.

[0088] Figure 1 It is a schematic flowchart of a method for generating training parameters for upper and lower limb active and passive rehabilitation training provided by one or more embodiments of this specification. This process can be executed by the management system of the upper and lower limb active and passive rehabilitation training device. Some input parameters or intermediate results in the process allow manual intervention and adjustment to help improve accuracy.

[0089] The method process steps of the embodiments of this specification are as follows:

[0090] S101. Before the specified user performs upper and lower limb active and passive rehabilitation training, obtain the identity information of the specified user.

[0091] In the embodiments of this specification, the specified user needs to register in 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.

[0092] S102. Log in to the management system of the upper and lower limb active and passive rehabilitation training device based on the identity information, and obtain the training data of the rehabilitation training treadmill corresponding to the specified user.

[0093] In the embodiments of this specification, after logging in to the management system of the upper and lower limb active and passive rehabilitation training device based on the identity information of the specified user, the system can query the database according to the user identity information to obtain the training data of the rehabilitation training treadmill of this user.

[0094] Further, the identity information of the designated user includes the face information of the designated user; when logging in to the management system of the upper and lower limb active and passive rehabilitation training device based on the identity information and obtaining the training data of the rehabilitation training treadmill corresponding to the designated user, the face information of the designated user can be identified through face recognition technology; if the identification is passed, the management system of the upper and lower limb active and passive rehabilitation training device will be successfully logged in; the training data of the rehabilitation training treadmill corresponding to the designated user is obtained based on the face information of the designated user.

[0095] S103. Generate the training parameters of the upper and lower limb active and passive rehabilitation training device corresponding to the designated user based on the training data of the rehabilitation training treadmill.

[0096] S104. Set the training mode and the parameters of the training mode of the upper and lower limb active and passive rehabilitation training device based on the training parameters of the upper and lower limb active and passive rehabilitation training device, and perform upper and lower limb active and passive rehabilitation training on the designated user based on the training mode and the parameters of the training mode.

[0097] It should be noted that the embodiments of this specification have the following beneficial effects through the above content:

[0098] Personalized training plan: By obtaining the identity information of the designated user, the system can customize the training plan for each patient to ensure the pertinence and effectiveness of the training.

[0099] Data-driven decision-making: Using the training data of the rehabilitation training treadmill, the system can generate training parameters based on scientific data analysis, reducing the dependence on the subjective judgment of rehabilitation therapists.

[0100] Improve training effect: Through the intelligently generated training parameters, the training intensity and frequency can be controlled more precisely, thereby improving the rehabilitation effect of patients.

[0101] Optimize training efficiency: The automatically generated training parameters can help patients enter the appropriate training state faster, reduce unnecessary adjustment time, and improve training efficiency.

[0102] Further, the training data includes speed data, exercise duration data, and displacement length change data of the soft pull rope. The speed data includes average running speed, maximum running speed, and minimum running speed. When obtaining the training data of the rehabilitation training treadmill corresponding to the specified user, the management system of the rehabilitation training treadmill can be logged in based on the identity information, and the speed data of the rehabilitation training treadmill corresponding to the specified user can be obtained. When the specified user is in the rehabilitation training area and is connected to the specified user through a soft pull rope, based on the speed data of the rehabilitation training treadmill, rehabilitation training is performed on the specified user, and the displacement length change data and exercise duration data of the soft pull rope are obtained. Wherein, the soft pull rope is stretched or contracted according to the position of the specified user on the rehabilitation training treadmill.

[0103] It should be noted that regarding the above content, the following specific implementation solutions can be adopted:

[0104] 1. System Design

[0105] a. Rehabilitation training treadmill: Design a rehabilitation training treadmill with a speed sensor that can measure and record the average running speed, maximum running speed, and minimum running speed of the user. The treadmill should be equipped with a soft pull rope connection device that can stretch or contract the soft pull rope according to the user's position.

[0106] b. Management system: Develop a rehabilitation training management system that can store user information, training data, and analysis results. The system should have a user authentication function to ensure that only authorized users can access and manage the data.

[0107] 2. User Authentication

[0108] a. User registration: Before starting training, the user needs to register personal information in the management system, including name, age, gender, health status, etc.

[0109] b. Authentication: The user logs in to the system by entering the username and password or using biometric technology (such as fingerprint, facial recognition).

[0110] 3. Data Collection

[0111] a. Log in to the management system: After the user logs in, the system automatically obtains the user's historical training data, including speed data.

[0112] b. Rehabilitation training: The user enters the rehabilitation training area and is connected to the treadmill through a soft pull rope. The treadmill starts running, and at the same time, the system starts to record speed data, exercise duration data, and displacement length change data of the soft pull rope.

[0113] It should be noted that through the above content, the embodiments of this specification have the following beneficial effects:

[0114] Precisely monitor the training process: By collecting speed data, exercise duration data, and the displacement length change data of the soft pull rope, the training process of the user can be precisely monitored to ensure the effectiveness and safety of the training.

[0115] Personalized training adjustment: According to the average running speed, maximum running speed, and minimum running speed of the user, the training intensity can be adjusted to make the training more personalized and meet the rehabilitation needs of different users.

[0116] Real-time feedback and guidance: By obtaining the displacement length change data of the soft pull rope in real time, instant feedback can be provided to the user to help the user correctly master the movement amplitude and strength and improve the training quality.

[0117] Improve the rehabilitation effect: By analyzing the exercise duration data and speed data, the training plan can be optimized to ensure that the training achieves the expected rehabilitation effect.

[0118] Furthermore, when obtaining the displacement length change data of the soft pull rope, the displacement length of the soft pull rope can be obtained first; it is detected whether the displacement length is between a first preset value and a second preset value, where the first preset value is less than the second preset value; if it is detected that the displacement length is not between the first preset value and the second preset value, the first displacement length change data of the soft pull rope is obtained, and the running speed of the training treadmill is adjusted based on the displacement length to obtain the second displacement length change data of the soft pull rope.

[0119] It should be noted that regarding the above content, the following specific implementation solutions can be adopted:

[0120] 1. Equipment preparation

[0121] a. Soft pull rope sensor: Install a displacement length sensor on the soft pull rope to accurately measure the displacement length of the pull rope.

[0122] b. Training treadmill: Ensure that the training treadmill can receive data from the soft pull rope sensor and can adjust the running speed according to the received data.

[0123] 2. Preset value setting

[0124] a. First preset value and second preset value: According to the needs and safety considerations of rehabilitation training, two preset values are set. The first preset value (L1) should be less than the second preset value (L2).

[0125] 3. Data collection and processing

[0126] a. Initialization: Before the user starts training, the system is initialized to prepare for data collection.

[0127] b. Displacement length detection: During the training process, the displacement length of the soft drawstring is monitored in real time.

[0128] c. Comparison with preset values: The system compares the detected displacement length with the preset values L1 and L2.

[0129] 4. Adjust the speed of the training treadmill

[0130] a. Exceeding the preset value: If the detected displacement length is not between L1 and L2 (i.e., the displacement length is less than L1 or greater than L2), the system records this change as the first displacement length change data.

[0131] b. Adjust the speed:

[0132] According to the direction of exceeding the preset value (less than L1 or greater than L2), the system adjusts the running speed of the training treadmill so that the displacement length returns between L1 and L2. For example, if the displacement length is less than L1, the system may increase the speed of the treadmill; if the displacement length is greater than L2, the system may decrease the speed of the treadmill.

[0133] c. Record the second displacement length change data: When the displacement length is adjusted between L1 and L2, the system records this new displacement length change data as the second displacement length change data.

[0134] It should be noted that through the above content, the embodiments of this specification have the following beneficial effects:

[0135] Speed monitoring and adjustment: By detecting the displacement length of the soft drawstring, the system can monitor whether the running speed of the training treadmill is within a safe and effective range.

[0136] Automated speed control: When the detected displacement length of the soft drawstring exceeds the preset range of the first preset value and the second preset value, the system can automatically adjust the speed of the training treadmill to ensure the accuracy of the training speed.

[0137] Furthermore, when adjusting the running speed of the training treadmill based on the displacement length, if the displacement length is less than the first preset value, the running speed of the training treadmill is accelerated based on the displacement length; if the displacement length is greater than the second preset value, the running speed of the training treadmill is decelerated based on the displacement length.

[0138] It should be noted that regarding the above content, the following specific implementation solutions can be adopted:

[0139] 1. System preparation

[0140] a. Displacement length sensor: Install a high-precision displacement length sensor on the soft drawstring, which can monitor and feedback displacement length data in real time.

[0141] b. Training treadmill control system: Ensure that the training treadmill has the ability to receive sensor data and adjust the running speed.

[0142] 2. Preset value setting

[0143] a. First preset value and second preset value: Set two preset values. The first preset value (L1) should be less than the second preset value (L2) to determine the safe working range.

[0144] 3. Running speed adjustment logic

[0145] a. Displacement length monitoring: During training, the system continuously monitors the displacement length of the soft pull rope.

[0146] b. Speed adjustment conditions: If the monitored displacement length is less than L1, it indicates that the user may need more support or power, and the system will accelerate the running speed of the training treadmill. If the monitored displacement length is greater than L2, it indicates that the user may have exceeded the safe range or needs to decelerate, and the system will decelerate the running speed of the training treadmill.

[0147] It should be noted that through the above content, the embodiments of this specification have the following beneficial effects:

[0148] Dynamic adjustment: The embodiments of this specification allow for dynamic adjustment of the speed during training to adapt to the patient's real-time motion state and improve the adaptability of training.

[0149] Safety monitoring: When the displacement length is less than the first preset value, accelerating the training treadmill can increase the exercise intensity, but through the preset threshold, potential risks caused by excessive speed can be prevented. When the displacement length is greater than the second preset value, decelerating can prevent the patient from losing balance or overexerting due to excessive speed, thereby improving safety.

[0150] Furthermore, when accelerating the running speed of the training treadmill based on the displacement length, the displacement length and speed adjustment parameters corresponding to each speed adjustment interval can be obtained first; based on the displacement length corresponding to each speed adjustment interval, the first speed adjustment interval where the displacement length is located can be determined, and the first speed adjustment parameter of the first speed adjustment interval can be determined; the running speed of the training treadmill can be accelerated based on the first speed adjustment parameter.

[0151] It should be noted that regarding the above content, the following specific implementation methods can be adopted:

[0152] 1. Preset parameters and interval division

[0153] a. Speed regulation range and parameters: During the system initialization phase, multiple speed regulation ranges are preset according to training requirements and safety considerations. Each speed regulation range corresponds to a specific displacement length range and corresponding speed regulation parameters (such as the percentage of speed increase or a fixed speed value).

[0154] 2. Displacement length monitoring

[0155] a. Sensor installation: A displacement length sensor is installed on the soft pull rope to monitor the user's motion state.

[0156] 3. Determine the speed regulation range

[0157] a. Obtain displacement length: During training, the displacement length data of the soft pull rope is obtained in real time.

[0158] b. Interval determination: According to the preset speed regulation ranges, determine which speed regulation range the current displacement length belongs to.

[0159] 4. Determine the speed regulation parameters

[0160] a. The first speed regulation range and parameters: Once the first speed regulation range to which the displacement length belongs is determined, the system will automatically select the first speed regulation parameter of this range.

[0161] 5. Speed adjustment

[0162] a. Accelerate execution: Based on the determined speed regulation parameters, the system adjusts the running speed of the training treadmill to accelerate.

[0163] For example, there are three speed regulation ranges:

[0164] Range 1: Displacement length 0 - 10 cm, speed increases by 5%.

[0165] Range 2: Displacement length 10 - 20 cm, speed increases by 10%.

[0166] Range 3: Displacement length 20 - 30 cm, speed increases by 15%.

[0167] If the user's displacement length is 12 cm, the system will determine that it belongs to Range 2 and accelerate the training treadmill based on the speed regulation parameters of Range 2 (speed increases by 10%).

[0168] It should be noted that the embodiments of this specification have the following beneficial effects through the above content:

[0169] Precise speed control: By obtaining the displacement length and speed regulation parameters corresponding to each speed regulation range, precise control of the speed of the training treadmill can be achieved.

[0170] Adaptive training: According to different displacement length intervals, adjust the speed of the training treadmill to make the training more adaptable to the individual's motor ability and improve the adaptability of the training.

[0171] Safety and efficiency: When the displacement length reaches a specific value, accelerating can help the patient increase the exercise intensity while maintaining a certain speed, improving the training efficiency. Through the preset displacement length threshold, it can ensure that the acceleration process is carried out within a safe range.

[0172] Furthermore, when decelerating the running speed of the training treadmill based on the displacement length, first obtain the displacement length and speed adjustment parameters corresponding to each speed adjustment interval; based on the displacement length corresponding to each speed adjustment interval, determine the second speed adjustment interval where the displacement length is located, and determine the second speed adjustment parameter of the second speed adjustment interval; based on the second speed adjustment parameter, decelerate the running speed of the training treadmill.

[0173] It should be noted that regarding the above content, it can be implemented through the following specific implementation plans:

[0174] 1. Preset parameters and interval division

[0175] a. Speed adjustment interval and parameters: In the system initialization stage, preset multiple speed adjustment intervals, and each interval corresponds to a specific displacement length range and corresponding speed adjustment parameters (such as the percentage of speed reduction or fixed speed value).

[0176] 2. Displacement length monitoring

[0177] a. Sensor installation: Install a displacement length sensor on the soft pull rope to monitor the user's motion state in real time.

[0178] 3. Determine the speed adjustment interval

[0179] a. Displacement length acquisition: During the training process, the system continuously acquires the displacement length data of the soft pull rope.

[0180] b. Interval determination: According to the preset speed adjustment intervals, the system determines which speed adjustment interval the current displacement length belongs to.

[0181] 4. Determine the speed adjustment parameters

[0182] a. Second speed adjustment interval and parameters: Once the second speed adjustment interval to which the displacement length belongs is determined, the system automatically selects the second speed adjustment parameter of this interval.

[0183] 5. Speed adjustment

[0184] a. Deceleration execution: Based on the determined speed adjustment parameters, the system adjusts the running speed of the training treadmill to achieve deceleration.

[0185] It should be noted that the embodiments of this specification have the following beneficial effects through the above content:

[0186] Improved safety: By precisely controlling the speed of the training treadmill, especially in cases where deceleration is required, the risk of movement can be reduced, preventing falls or injuries caused by excessive speed.

[0187] Adapting to different needs: By setting different deceleration parameters according to different displacement length intervals, the rehabilitation needs of different patients can be met, whether they are beginners or advanced trainers.

[0188] Personalized training: By setting multiple speed adjustment intervals and corresponding deceleration parameters, a personalized training plan can be provided to meet the physical conditions and training goals of different individuals.

[0189] It should be noted that if the user logs in to the upper and lower limb active-passive rehabilitation training device and no rehabilitation training treadmill evaluation or training record of the user is retrieved after logging in to the backend management system, the user is required to select to first complete the rehabilitation training treadmill evaluation and training, or independently or assist in selecting the training mode and specific parameters for rehabilitation training.

[0190] Furthermore, the parameters of the training mode include one or more of exercise intensity, exercise duration, and exercise frequency.

[0191] It should be noted that the embodiments of this specification have the following beneficial effects through the above content:

[0192] Data-driven adjustment: Using the treadmill training data to generate training parameters, the exercise intensity, duration, and frequency can be adjusted based on the user's actual performance, improving the pertinence of training.

[0193] Furthermore, the training mode includes an active training mode and a passive training mode;

[0194] The exercise intensity includes the level of the resistance of the circular motion training in the active training mode and the assist rotation speed of the circular motion training in the passive mode.

[0195] Figure 2 The structural schematic diagram of a training parameter generation device for upper and lower limb active-passive rehabilitation training provided by one or more embodiments of this specification includes: an identity information acquisition unit 201, a training data acquisition unit 202, a training parameter generation unit 203, and a rehabilitation training setting unit 204.

[0196] The identity information acquisition unit 201 acquires the identity information of the specified user before the specified user performs upper and lower limb active-passive rehabilitation training;

[0197] The training data acquisition unit 202 logs in to the management system of the upper and lower limb active-passive rehabilitation training device based on the identity information, and acquires the training data of the rehabilitation training treadmill corresponding to the specified user;

[0198] The training parameter generation unit 203 generates the training parameters of the upper and lower limb active-passive rehabilitation training device corresponding to the specified user based on the training data of the rehabilitation training treadmill;

[0199] The rehabilitation training setting unit 204 sets the training mode of the upper and lower limb active-passive rehabilitation training device and the parameters of the training mode based on the training parameters of the upper and lower limb active-passive rehabilitation training device, and performs upper and lower limb active-passive rehabilitation training on the specified user based on the training mode and the parameters of the training mode.

[0200] Figure 3 The structural schematic diagram of a training parameter generation device for upper and lower limb active-passive rehabilitation training provided by one or more embodiments of this specification includes:

[0201] At least one processor; and,

[0202] A memory communicatively connected to the at least one processor; wherein,

[0203] 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:

[0204] Before the specified user performs upper and lower limb active-passive rehabilitation training, acquire the identity information of the specified user;

[0205] Log in to the management system of the upper and lower limb active-passive rehabilitation training device based on the identity information, and acquire the training data of the rehabilitation training treadmill corresponding to the specified user;

[0206] Generate the training parameters of the upper and lower limb active-passive rehabilitation training device corresponding to the specified user based on the training data of the rehabilitation training treadmill;

[0207] Set the training mode of the upper and lower limb active-passive rehabilitation training device and the parameters of the training mode based on the training parameters of the upper and lower limb active-passive rehabilitation training device, and perform upper and lower limb active-passive rehabilitation training on the specified user based on the training mode and the parameters of the training mode.

[0208] 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:

[0209] Before a specified user undergoes active and passive rehabilitation training for the upper and lower limbs, obtain the identity information of the specified user;

[0210] Log in to the management system of the active and passive rehabilitation training device for the upper and lower limbs based on the identity information, and obtain the training data of the rehabilitation training treadmill corresponding to the specified user;

[0211] Generate the training parameters of the active and passive rehabilitation training device for the upper and lower limbs corresponding to the specified user based on the training data of the rehabilitation training treadmill;

[0212] Set the training mode and the parameters of the training mode of the active and passive rehabilitation training device for the upper and lower limbs based on the training parameters of the active and passive rehabilitation training device for the upper and lower limbs, and perform active and passive rehabilitation training for the upper and lower limbs on the specified user based on the training mode and the parameters of the training mode.

[0213] Each embodiment in this specification is described in a progressive manner. The same or similar parts between the embodiments can be referred to each other, and the differences between each embodiment and other embodiments are emphasized. In particular, for the embodiments of the device, equipment, and non-volatile computer storage medium, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiments.

[0214] Each embodiment in this specification is described in a progressive manner. The same or similar parts between the embodiments can be referred to each other, and the differences between each embodiment and other embodiments are emphasized. In particular, for the device embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiments.

[0215] 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 in this article 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.

[0216] In the embodiments provided in this application, it should be understood that the disclosed device / network device and method can be implemented in other ways. For example, the device / network device embodiments described above are merely illustrative. For example, the division of the modules or units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed coupling or direct coupling or communication connection between each other can be through some interfaces. The indirect coupling or communication connection of the device or unit can be in electrical, mechanical or other forms.

[0217] The units described as separate components may or may not be physically separated. The components displayed as units may or may not be physical units, that is, they can be located in one place or 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.

[0218] In addition, each functional unit in the various embodiments of this application 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.

[0219] If 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 method embodiments of this 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 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 that can carry the computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), 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.

[0220] The embodiments described above 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 described in the foregoing embodiments, or perform equivalent replacements on some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the various embodiments of the present application, and should all be included within the protection scope of the present application.

Claims

1. A method for generating training parameters for active and passive rehabilitation training of upper and lower limbs, characterized in that, The method includes before a designated user performs active and passive rehabilitation training on the upper and lower limbs, obtaining the identity information of the designated user; logging in to the management system of the upper and lower limb active and passive rehabilitation training device based on the identity information, and obtaining the training data of the rehabilitation training treadmill corresponding to the designated user; generating the training parameters of the upper and lower limb active and passive rehabilitation training device corresponding to the designated user based on the training data of the rehabilitation training treadmill; setting the training mode and the parameters of the training mode of the upper and lower limb active and passive rehabilitation training device based on the training parameters of the upper and lower limb active and passive rehabilitation training device, and performing active and passive rehabilitation training on the upper and lower limbs of the designated user based on the training mode and the parameters of the training mode.

2. The method according to claim 1, wherein The training data includes speed data, exercise duration data, and displacement length change data of the soft pull rope. The speed data includes average running speed, maximum running speed, and minimum running speed; The obtaining of the training data of the rehabilitation training treadmill corresponding to the designated user includes: logging in to the management system of the rehabilitation training treadmill based on the identity information, and obtaining the speed data of the rehabilitation training treadmill corresponding to the designated user; when the designated user is in the rehabilitation training area and is connected to the designated user through a soft pull rope, performing rehabilitation training on the designated user based on the speed data of the rehabilitation training treadmill, and obtaining the displacement length change data and exercise duration data of the soft pull rope, wherein the soft pull rope is stretched or contracted according to the position of the designated user on the rehabilitation training treadmill.

3. The method according to claim 2, characterized in that, The obtaining of the displacement length change data of the soft pull rope includes: obtaining the displacement length of the soft pull rope; detecting whether the displacement length is between a first preset value and a second preset value, wherein the first preset value is less than the second preset value; if it is detected that the displacement length is not between the first preset value and the second preset value, obtaining the first displacement length change data of the soft pull rope, and adjusting the running speed of the training treadmill based on the displacement length to obtain the second displacement length change data of the soft pull rope.

4. The method according to claim 3, wherein The adjusting of the running speed of the training treadmill based on the displacement length includes: if the displacement length is less than the first preset value, accelerating the running speed of the training treadmill based on the displacement length; if the displacement length is greater than the second preset value, decelerating the running speed of the training treadmill based on the displacement length.

5. The method according to claim 4, characterized in that The accelerating of the running speed of the training treadmill based on the displacement length includes: obtaining the displacement length and speed adjustment parameters corresponding to each speed adjustment interval; determining the first speed adjustment interval where the displacement length is located based on the displacement length corresponding to each speed adjustment interval, and determining the first speed adjustment parameter of the first speed adjustment interval; accelerating the running speed of the training treadmill based on the first speed adjustment parameter.

6. The method according to claim 4, wherein The decelerating of the running speed of the training treadmill based on the displacement length includes: obtaining the displacement length and speed adjustment parameters corresponding to each speed adjustment interval; Based on the displacement lengths corresponding to the respective speed regulation intervals, determine the second speed regulation interval in which the displacement length is located, and determine the second speed regulation parameter of the second speed regulation interval; Decelerate the running speed of the training treadmill based on the second speed regulation parameter.

7. The method according to claim 1, characterized in that, The parameters of the training mode include one or more of exercise intensity, exercise duration, and exercise frequency.

8. The method according to claim 7, wherein The training mode includes an active training mode and a passive training mode; The exercise intensity includes the gear level of the circumferential motion training resistance in the active training mode and the assist rotation speed of the circumferential motion training in the passive mode.

9. A training parameter generation device for upper and lower limb active and passive rehabilitation training, characterized in that, Comprising: An identity information acquisition unit, which acquires the identity information of a designated user before the designated user performs upper and lower limb active-passive rehabilitation training; A training data acquisition unit, which logs in to the management system of the upper and lower limb active-passive rehabilitation training device based on the identity information, and acquires the training data of the rehabilitation training treadmill corresponding to the designated user; A training parameter generation unit, which generates the training parameters of the upper and lower limb active-passive rehabilitation training device corresponding to the designated user based on the training data of the rehabilitation training treadmill; A rehabilitation training setting unit, which sets the training mode of the upper and lower limb active-passive rehabilitation training device and the parameters of the training mode based on the training parameters of the upper and lower limb active-passive rehabilitation training device, and performs upper and lower limb active-passive rehabilitation training on the designated user based on the training mode and the parameters of the training mode.

10. A training parameter generation device for upper and lower limb active and passive rehabilitation training, characterized in that, Comprising: 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: Acquire the identity information of the designated user before the designated user performs upper and lower limb active-passive rehabilitation training; Log in to the management system of the upper and lower limb active-passive rehabilitation training device based on the identity information, and acquire the training data of the rehabilitation training treadmill corresponding to the designated user; Generate the training parameters of the upper and lower limb active-passive rehabilitation training device corresponding to the designated user based on the training data of the rehabilitation training treadmill; Set the training mode of the upper and lower limb active-passive rehabilitation training device and the parameters of the training mode based on the training parameters of the upper and lower limb active-passive rehabilitation training device, and perform upper and lower limb active-passive rehabilitation training on the designated user based on the training mode and the parameters of the training mode.

Images