Training method and system based on medical lower limb power vehicle

Abstract

The invention relates to the technical field of rehabilitation training, in particular to a training method and system based on a medical lower limb power vehicle. The method comprises the following steps: determining initial resistance according to input user information in response to a treatment mode being an active training mode; the user information comprises body weight; acquiring the rotating speed of the user in the training process; target resistance is determined according to the difference between the rotating speed and the target rotating speed; and outputting the target resistance, so that a user performs training based on the target resistance. According to the method, the resistance is dynamically changed according to the real-time data of the user, it can be ensured that the user conducts training within the target rotating speed range all the time, and the training safety and reliability are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of rehabilitation training. More specifically, the present invention relates to a training method and system based on a medical lower limb ergometer. Background Art

[0002] A medical lower limb ergometer is an auxiliary walking device that can help users perform lower limb movement training, improve lower limb joint movement, muscle strength, and coordination. Traditional medical lower limb ergometers usually only provide active or passive training modes, which cannot meet the diverse rehabilitation needs of patients. Moreover, for rehabilitation patients, most of the existing training methods are based on manual operation, lacking automation and intelligence, so a large amount of human resources are often consumed. For the rehabilitation population, due to problems such as insufficient muscle strength and limited joint movement, generally a resistance value and a target power are selected, and then training is carried out based on this resistance and target power. However, the setting of the resistance value and the target power is generally determined by the experience of the rehabilitation therapist, with a large degree of subjectivity, which is likely to cause overtraining or undertraining.

[0003] Therefore, how to adjust the training intensity according to the actual situation of the user to improve the safety and reliability of training is a technical problem that urgently needs to be solved in the field of rehabilitation medicine. Summary of the Invention

[0004] To solve the above technical problem of being unable to adjust the training intensity according to the actual state of the user, the present invention provides solutions in the following aspects.

[0005] In a first aspect, the present invention provides a training method based on a medical lower limb ergometer, including: in response to the treatment mode being an active training mode, determining an initial resistance according to the input user information; the user information includes body weight; collecting the rotation speed during the user's training process; determining a target resistance according to the difference between the rotation speed and the target rotation speed; outputting the target resistance so that the user can perform training based on the target resistance.

[0006] Further, the user information further includes age, gender, and height; the method for obtaining the target rotation speed is: matching the user information with a preset database to obtain a reference rotation speed; obtaining the average rotation speed of the user within a preset time; determining the target rotation speed according to the reference rotation speed and the average rotation speed.

[0007] Further, the calculation expression of the target rotation speed is:

[0008]

[0009] where r tar represents the target rotation speed, r nor represents the reference rotation speed, r userrepresents the average rotational speed, k represents the resistance-rotational speed attenuation coefficient, and R0 represents the initial resistance.

[0010] Further, the calculation expression for the initial resistance is:

[0011] R0 = w × a;

[0012] In the formula, R0 is the initial resistance, w is the weight of the user, and a is the correction coefficient, taking a value between 0.5 and 1.5.

[0013] Further, the calculation formula for the correction coefficient is:

[0014]

[0015] In the formula, a is the correction coefficient, h is the height of the user, w is the weight of the user, and A is the age of the user.

[0016] Further, determining the target resistance according to the difference between the rotational speed and the target rotational speed includes:

[0017] R = R1 - k0(r tar - r1);

[0018] In the formula, R is the target resistance, R1 is the current resistance, k0 is the proportionality coefficient, and r tar is the target rotational speed, and r1 is the rotational speed.

[0019] Further, determining the target resistance according to the difference between the rotational speed and the target rotational speed includes: if the rotational speed is greater than or equal to the target rotational speed, determining the target resistance according to the current resistance and the first coefficient, where the first coefficient is greater than 1; if the rotational speed is less than the target rotational speed, determining the target resistance according to the current resistance and the second coefficient, where the second coefficient is less than 1.

[0020] Further, in response to the treatment mode being the passive training mode, controlling the motor to output corresponding power according to the input target rotational speed.

[0021] Further, the method of the present invention further includes: in response to the end of training, generating a training report, where the training report includes: average rotational speed and training time.

[0022] In a second aspect, the present invention provides a training system based on a medical lower limb ergometer, including a processor and a memory, where the memory stores computer program instructions, and when the computer program instructions are executed by the processor, the training method of a medical lower limb ergometer described in the first aspect is implemented.

[0023] The beneficial effects of the present invention are as follows: By determining the initial resistance corresponding to the user based on the user information, the present invention can ensure that the user trains within a safe range, avoiding the situations of insufficient training or overtraining caused by setting the resistance value according to experience. By determining the target rotation speed based on the rotation speed difference between the user and the normal person corresponding to the user, the determined target rotation speed better matches the actual needs of the user, thereby improving the training effect. By dynamically changing the resistance according to the real-time rotation speed and the target rotation speed of the user, it can ensure that the rotation speed of the user always remains within the target rotation speed range, avoiding the situations of muscle over-fatigue caused by overtraining or poor training effect caused by insufficient training, thereby ensuring the safety and reliability of training. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] By reading the following detailed description with reference to the accompanying drawings, the above and other objects, features and advantages of the exemplary embodiments of the present invention will become readily understood. In the drawings, several embodiments of the present invention are shown by way of illustration and not limitation, and like or corresponding reference numerals represent like or corresponding parts, wherein:

[0025] Figure 1 is a flowchart schematically showing a training method based on a medical lower limb ergometer according to an embodiment of the present invention;

[0026] Figure 2 is a block diagram schematically showing a training system based on a medical lower limb ergometer according to an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0027] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative efforts fall within the protection scope of the present invention.

[0028] The following will describe the specific embodiments of the present invention in detail with reference to the accompanying drawings.

[0029] Figure 1 is a flowchart schematically showing a training method based on a medical lower limb ergometer according to an embodiment of the present invention.

[0030] A medical lower limb ergometer is a kind of exercise training equipment. By setting different resistances, it can specifically train the lower limb muscles or joint mobility. For patients with lower limb injuries or users who need to improve lower limb strength or joint mobility (such as the elderly), different resistances can be set to meet different training needs. However, when using the ergometer for training, generally, a rehabilitation therapist sets the resistance according to experience, and the set resistance may be too large or too small. If the resistance is too large, it is easy to cause the user to have excessive muscle fatigue. If the resistance is too small, the stimulation to the muscles and joints will be insufficient, and the expected training effect cannot be achieved, thus affecting the training efficiency.

[0031] In view of this, to solve the above problems, in the first aspect, the present invention provides a training method based on a medical lower limb ergometer. The medical lower limb ergometer for implementing the method of the present invention may include pedals, a frame, a flywheel, a touch screen, a motor, a resistance device, and a main controller. Specifically, the height of the seat of the medical lower limb ergometer is adjustable to enable users of different heights and weights to train and ensure the comfort of the users. Fixed straps are provided on the pedals to prevent the user's feet from falling off during training, especially for users undergoing passive training or those who need rehabilitation training. Further, speed sensors are installed on the pedals to collect the rotation speed of the pedals. The motor is used to output a specified power to drive the user for passive training. The flywheel is installed in the middle of the frame to provide inertia. The resistance device adopts a magnetic resistance or mechanical resistance system to output a specified resistance to assist the user in active training. The main controller is installed inside the frame to control the motor, the resistance device, and the sensors. The touch screen can display information such as the user's rotation speed and training time in real time.

[0032] Specifically, as Figure 1 shown, the method of the present invention includes:

[0033] S101. In response to the treatment mode being the active training mode, determine the initial resistance according to the input user information.

[0034] In this embodiment, the user information includes height, weight, age, and gender. Specifically, the initial resistance corresponding to the user can be determined according to the user's weight. In one embodiment, the calculation expression of the initial resistance is:

[0035] R0 = w × a;

[0036] In the formula, R0 is the initial resistance, w is the user's weight, and a is a correction coefficient, taking a value between 0.5 and 1.5.

[0037] By determining the initial resistance according to the user's weight, it can be ensured that the set resistance is within a safe range for the user, thereby improving the safety of the user's training.

[0038] Furthermore, since the situations of each user are different, the corresponding correction factors are also different. In practical applications, the correction factor can be determined according to the actual situation of the user. In one embodiment, the value of the correction factor can be determined according to the height, weight, and age of the user. Specifically, the calculation expression of the correction factor can be:

[0039]

[0040] In the formula, a is the correction factor, h is the height of the user, w is the weight of the user, and A is the age of the user.

[0041] It can be understood that the greater the ratio of weight to height, the more developed the muscles, bones, etc. of the user are, and the greater the force that can be provided. Therefore, appropriately increasing the initial resistance can ensure the training effect. Further, since the older the age, the weaker the body's recovery ability and the smaller the force that can be provided, the training intensity needs to be reduced. Therefore, appropriately reducing the resistance can avoid situations such as muscle strains caused by excessive resistance, thereby ensuring the safety of the user's training. By setting a lower limit, it is possible to avoid the problem of too low resistance caused by too high age or too low weight, and ensure the basic training effect.

[0042] For example, if the user's weight is 60 kg, height is 1.70 m, and age is 50 years old, the initial resistance value can be set to 30 - 90 N. More specifically, according to height, age, and weight, the initial resistance value can be set to 42 N, where the correction factor is 0.70 (rounded to two decimal places).

[0043] By setting the initial resistance value according to the user's age, height, and weight, it is possible to ensure that the resistance value matches the actual situation of the user, avoid the situation of insufficient or excessive training caused by setting a fixed resistance according to experience, and thus improve the safety and reliability of training.

[0044] In an alternative embodiment, it further includes displaying the initial resistance, and the rehabilitation therapist can confirm or modify the initial resistance to ensure the reliability of training.

[0045] In one embodiment, the method of the present invention further includes: in response to the treatment mode being the passive training mode, controlling the motor to output corresponding power according to the input target rotation speed. Further, the training time can also be input. According to the input target rotation speed and training time, it is possible to ensure that the user undergoes passive training, which is suitable for patients who are unable to provide power for training by themselves. It should be noted that the values input for passive training can be determined by the rehabilitation therapist.

[0046] By setting active training and passive training, it is possible to meet the training needs of different users and have a wider application range.

[0047] S102. Collect the rotational speed during the user's training process, and output a target resistance based on the difference between the rotational speed and the target rotational speed, so that the user can train based on the target resistance.

[0048] In one embodiment, the rotational speed during the user's training process can be collected by a speed sensor. It can be understood that the rotational speed refers to the speed at which the user pedals (cadence, unit: revolutions per minute).

[0049] Furthermore, before training, it also includes: determining the target rotational speed. In one embodiment, the method for obtaining the target rotational speed is: matching the user information with a preset database to obtain a reference rotational speed. Specifically, the rotational speeds of normal people (relative to the rehabilitation population) of different ages, genders, heights, and weights during lower limb ergometer training can be collected or acquired, and a database is established based on the obtained data. The matched rotational speed is the reference rotational speed. In an alternative embodiment, it can also be set with three parameters: age, gender, and BMI (Body Mass Index). Specifically, classify according to age, gender, and BMI. For people in the same category, take the average value of the rotational speed as the reference rotational speed. Among them, set the difference in BMI within 1 as one category. For example, 18.5 - 19.4 are grouped into the same category, 19.5 - 20.4 are grouped into one category, and so on.

[0050] It can be understood that the obtained reference rotational speed characterizes the user's rehabilitation goal. By matching according to age, gender, weight, and height, the obtained reference rotational speed can be made more in line with the user's ultimate rehabilitation needs, thereby improving the accuracy of determining the target rotational speed subsequently.

[0051] Furthermore, obtain the average rotational speed of the user within a preset time. It can be understood that the average rotational speed characterizes the user's exercise ability to a certain extent. Specifically, a small average rotational speed indicates that the user's exercise ability is poor, that is, the user's lower limb state is poor; a large average rotational speed indicates that the user's exercise ability is strong, that is, the user's lower limb state is good.

[0052] Specifically, the average rotational speed of the user within 3 minutes or 5 minutes can be collected, based on being able to accurately characterize the user's lower limb ability. Among them, this rotational speed can be based on the rotational speed under no resistance, or the rotational speed under applied resistance, corresponding to the conditions when collecting data in the database. In this embodiment, it is based on the rotational speed under no resistance.

[0053] Furthermore, determine the target rotational speed according to the reference rotational speed and the average rotational speed. In one embodiment, the calculation expression of the target rotational speed is:

[0054]

[0055] where r tar represents the target rotational speed, r nor represents the reference rotational speed, r user represents the average rotational speed, k represents the resistance-rotational speed attenuation coefficient, and R0 represents the initial resistance. Among them, the resistance-rotational speed attenuation coefficient can be obtained through experiments. In one embodiment, the resistance-rotational speed attenuation coefficient can be 0.057.

[0056] According to the above calculation expression of the target rotational speed, the greater the difference between the user's average rotational speed and the reference rotational speed, the worse the user's lower limb state is relative to a normal person, and the smaller the set target rotational speed should be to ensure that the user can train smoothly and safely.

[0057] In an alternative embodiment, an adaptive adjustment stage can also be set. Specifically, at the beginning of training, a transition target value is set to replace the target rotational speed. After a period of transition training, training is then carried out according to the target rotational speed calculated by the above calculation expression of the target rotational speed, so as to allow the user to have a gradual adaptation process and avoid situations such as muscle injury. Among them, the transition target value can be set at 30% of the difference between the user's average rotational speed and the calculated target rotational speed, that is, the transition target value = average rotational speed + 30% (target rotational speed - average rotational speed), and those skilled in the art can select the corresponding ratio according to actual needs.

[0058] Since setting the target value according to experience is likely to result in the situation that the set target rotational speed is too large or too small, and the setting accuracy is limited by the experience of the rehabilitation therapist, therefore, the present invention determines the target rotational speed according to the difference between the user's average rotational speed and the rotational speed of a normal person, which can avoid the subjectivity of setting the target rotational speed according to experience, so as to ensure that the user's target rotational speed conforms to the user's actual situation, avoid muscle over-fatigue caused by setting the target rotational speed too large, and the problem that the muscle and joint stimulation is insufficient due to setting the target rotational speed too small, thereby ensuring the safety and reliability of training.

[0059] In an alternative embodiment, the target rotational speed can also be corrected considering the user's rehabilitation stage. Specifically, the calculation expression of the target rotational speed is:

[0060]

[0061] where r tar represents the target rotational speed, r nor represents the reference rotational speed, r user represents the average rotational speed, k represents the resistance-rotational speed attenuation coefficient, R0 represents the initial resistance, and k(s) represents the correction value corresponding to the rehabilitation stage s.

[0062] Among them, the rehabilitation stage can be determined by a rehabilitation therapist or the user. Specifically, the rehabilitation stage includes the initial stage of rehabilitation (s = 1), the middle stage of rehabilitation (s = 2), and the late stage of rehabilitation (s = 3). It can be understood that since the user's condition is relatively poor in the initial stage of rehabilitation and the tolerance to the rotational speed difference is relatively low, a relatively large correction value can be set to significantly reduce the target rotational speed. This reduced amplitude better meets the need to protect the user's body in the initial stage of rehabilitation, thus ensuring the safe progress of training. As the rehabilitation process progresses to the middle and late stages, the user's physical function gradually recovers. By setting the correction value to gradually decrease, the target rotational speed can gradually increase, so as to ensure that the muscles and joints can be stimulated during the training process, thus ensuring the training effect.

[0063] In one embodiment, the correction value corresponding to the initial stage of rehabilitation (i.e., k(1)) can be set to 0.8, the correction value corresponding to the middle stage of rehabilitation (i.e., k(2)) can be set to 0.6, and the correction value in the late stage of rehabilitation (i.e., k(1)) can be set to 0.4. Those skilled in the art can change the number of rehabilitation stages and the corresponding values according to actual needs. By correcting the target rotational speed according to the user's rehabilitation stage, it can be ensured that the obtained target rotational speed is more suitable for the user in the current stage, thus ensuring the training effect.

[0064] Furthermore, the target resistance can be determined according to the difference between the user's current rotational speed and the target rotational speed and the current resistance. Specifically, the calculation expression of the target resistance is:

[0065] R = R1 - k0(r tar - r1);

[0066] In the formula, R is the target resistance, R1 is the current resistance, r tar represents the target rotational speed, r1 represents the current rotational speed, and k0 is a proportionality coefficient, taking a value between 0.3 and 0.8. In one embodiment, k0 is 0.5.

[0067] It can be understood that the target rotational speed characterizes the training intensity to a certain extent. Therefore, by adjusting the resistance according to the target rotational speed and the current rotational speed, it can be ensured that the user always trains within the target intensity, thus ensuring the training effect.

[0068] In another embodiment, the target resistance can also be directly determined according to the current resistance. Specifically, if the user's rotational speed is greater than or equal to the target rotational speed, the target resistance is determined according to the current resistance and a first coefficient, and the first coefficient is greater than 1. In one embodiment, the calculation expression of the target resistance is:

[0069] R = R1 × k1;

[0070] In the formula, R is the target resistance, R1 is the current resistance, and k1 is the first coefficient.

[0071] It can be understood that when the user's rotation speed is higher than the target rotation speed, it indicates that the current resistance is small, so that the user can complete the training more easily. Therefore, the resistance can be appropriately increased to ensure that the user can train within the target rotation speed, thereby ensuring the training effect.

[0072] In one embodiment, the first coefficient can be taken as 1.1. In an alternative embodiment, those skilled in the art can set it according to actual needs.

[0073] Further, if the user's rotation speed is less than the target rotation speed, the target resistance is determined according to the current resistance and the second coefficient, and the second coefficient is less than 1. In one embodiment, the calculation expression of the target resistance is:

[0074] R = R1×k2;

[0075] In the formula, R is the target resistance, R1 is the current resistance, and k2 is the second coefficient.

[0076] It can be understood that when the user's rotation speed is lower than the target rotation speed, it indicates that the current resistance is large, so that the user needs to exert more effort to train, and it is easy to cause over-fatigue or muscle strain. Therefore, the resistance can be appropriately reduced to ensure that the user can train within the target rotation speed, thereby ensuring the safety of training.

[0077] In one embodiment, k2 is taken as 0.9. In an alternative embodiment, those skilled in the art can set it according to actual needs.

[0078] By dynamically adjusting the resistance value according to the difference between the user's rotation speed and the target rotation speed during the user's training process, the initial resistance can be corrected, so as to ensure that the user always trains within the target rotation speed range, ensuring that the user can perform effective training, avoiding the situation of over-training or under-training that may be caused by setting the resistance value according to experience, and thus improving the safety and reliability of training. Further, by setting the first coefficient and the second coefficient, the resistance can be changed smoothly to allow the user to adapt to the change of the resistance, avoiding problems such as muscle strain caused by too large a change in the resistance, and thus ensuring the safety of training.

[0079] Further, the method of the present invention further includes: in response to the end of the training, outputting a training report, and the training report includes: average rotation speed, training time, initial resistance, etc. By recording the user's training data and generating a training report, it can provide a scientific reference for the user's next training.

[0080] Figure 2 It schematically shows a structural block diagram of a training system based on a medical lower limb ergometer according to this embodiment.

[0081] In a second aspect, the present invention further provides a training system based on a medical lower limb ergometer. As Figure 2 shown, the training system based on the medical lower limb ergometer includes a processor and a memory, and the memory stores computer program instructions, which when executed by the processor implement a training method based on a medical lower limb ergometer according to the first aspect of the present invention.

[0082] The training system based on the medical lower limb ergometer further includes other components well known to those skilled in the art such as a communication interface, and its settings and functions are known in the art, so they will not be described in detail here.

[0083] In the present invention, the aforementioned memory may be any tangible medium that contains or stores a program, and this program can be used by or in combination with an instruction execution system, apparatus, or device. For example, a computer-readable storage medium may be any suitable magnetic storage medium or magneto-optical storage medium, such as, for example, resistive random access memory (RRAM), dynamic random access memory (DRAM), static random access memory (SRAM), enhanced dynamic random access memory (EDRAM), high-bandwidth memory (HBM), hybrid memory cube (HMC), etc., or any other medium that can be used to store the required information and can be accessed by an application, a module, or both. Any such computer storage medium may be part of the device or accessible or connectable to the device. Any application or module described in the present invention may be implemented using computer-readable / executable instructions that can be stored or otherwise maintained by such a computer-readable medium.

[0084] In the description of this specification, the meaning of "a plurality" is at least two, such as two, three, or more, etc., unless otherwise clearly and specifically defined. In addition, the step division of the above method is only for clear description, and when implemented, it can be combined into one step or some steps can be split and decomposed into multiple steps, as long as the same logical relationship is included.

[0085] Although this specification has shown and described several embodiments of the present invention, it will be apparent to those skilled in the art that such embodiments are provided by way of example only. Many variations, modifications and alternative forms will occur to those skilled in the art without departing from the spirit and scope of the present invention. It should be understood that various alternatives to the embodiments of the invention described herein may be employed in practicing the invention.

Claims

1. A training method based on a medical lower limb ergometer, characterized in that Comprising: In response to the treatment mode being the active training mode, determining an initial resistance according to the input user information; The user information includes body weight; Collecting the rotation speed during the user's training process; Determining a target resistance according to the difference between the rotation speed and the target rotation speed; Outputting the target resistance so that the user can train based on the target resistance.

2. The training method based on a medical lower limb ergometer according to claim 1, wherein The user information further includes age, gender, and height; the method for obtaining the target rotation speed is: Matching the user information with a preset database to obtain a reference rotation speed; Obtaining the average rotation speed of the user within a preset time; Determining the target rotation speed according to the reference rotation speed and the average rotation speed.

3. The training method based on a medical lower limb ergometer according to claim 2, wherein The calculation expression of the target rotation speed is: where r tar represents the target rotational speed, r nor represents the reference rotational speed, r user represents the average rotational speed, k represents the resistance-rotational speed attenuation coefficient, and R0 represents the initial resistance.

4. The training method based on a medical lower limb ergometer according to claim 1, wherein The calculation expression of the initial resistance is: R0 = w × a; In the formula, R0 is the initial resistance, w is the user's body weight, and a is a correction coefficient, taking a value between 0.5 and 1.

5.

5. The training method based on a medical lower limb ergometer according to claim 4, characterized in that, The calculation formula of the correction coefficient is: In the formula, a is the correction coefficient, h is the user's height, w is the user's body weight, and A is the user's age.

6. The training method based on a medical lower limb ergometer according to claim 1, characterized in that, Determining the target resistance according to the difference between the rotation speed and the target rotation speed includes: R = R1 - k0(r tar - r1); Wherein, R is the target resistance, R1 is the current resistance, k0 is the proportionality coefficient, r tar is the target rotational speed, and r1 is the rotational speed.

7. The training method based on a medical lower limb ergometer according to claim 1, characterized in that, Determining the target resistance according to the difference between the rotation speed and the target rotation speed includes: If the rotation speed is greater than or equal to the target rotation speed, determining the target resistance according to the current resistance and a first coefficient, and the first coefficient is greater than 1; If the rotation speed is less than the target rotation speed, determining the target resistance according to the current resistance and a second coefficient, and the second coefficient is less than 1.

8. The training method based on a medical lower limb ergometer according to claim 1, wherein In response to the treatment mode being the passive training mode, controlling the motor to output corresponding power according to the input target rotation speed.

9. The training method based on a medical lower limb ergometer according to claim 1, characterized in that, Further comprising: In response to the end of training, generating a training report, and the training report includes: average rotation speed and training time.

10. A training system based on a medical lower limb ergometer, characterized in that, Comprising a processor and a memory, and the memory stores computer program instructions, and when the computer program instructions are executed by the processor, a training method of a medical lower limb ergometer according to claims 1-9 is implemented.

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