CN-117531170-B - Training method based on hand function training platform, electronic equipment and storage medium

CN117531170BCN 117531170 BCN117531170 BCN 117531170BCN-117531170-B

Abstract

The invention relates to the technical field of hand function rehabilitation training. More particularly, the invention relates to a training method based on a hand function training platform, an electronic device and a storage medium. The method comprises the steps of responding to completion of setting of a training difficulty level, collecting displacement data of a handle flat pull training assembly in real time, initializing a value of total training times and a value of effective training times to be zero, calculating the speed of the handle flat pull training assembly in real time according to the displacement data, responding to the fact that the speed is smaller than zero, adding one to the value of the total training times, responding to the fact that a peak value of the displacement data is larger than a preset pulling distance threshold value under the difficulty level, adding one to the value of the effective training times, outputting a training record report, reminding a patient of finishing training of the difficulty level, and setting the difficulty level to be a higher level of difficulty level. The method can be used for performing progressive exercise on the hand functions of the user, and is more beneficial to the recovery of the hand functions of the user.

Inventors

HE YONGZHENG
Xin Huanling
LIU DI
ZHANG ZHENG
LI JUN

Assignees

河南翔宇医疗设备股份有限公司

Dates

Publication Date: 20260505
Application Date: 20231107

Claims (7)

1. A training method based on a hand function training platform is characterized in that the hand function training platform comprises a handle flat pull training component, a load applying device for applying load to the handle flat pull training component, a pressure sensor for detecting pressure between a palm and the training component and a plurality of photoelectric switches for detecting displacement data of the handle flat pull training component, the hand function training platform comprises a plurality of difficulty levels, the higher the difficulty level is, the larger the corresponding load and pulling distance threshold is, the method comprises an intelligent training mode, and the intelligent training mode comprises: responding to completion of training difficulty level setting, and collecting displacement data of a handle flat pull training assembly in real time; Initializing the value of the total training times and the value of the effective training times to zero; calculating the speed of the handle flat pull training assembly in real time according to the displacement data, and adding one to the value of the total training times in response to the speed being smaller than zero, wherein the speed being smaller than zero means that the speed direction is opposite to the direction of the hand pulling force of the user; Responding to the fact that the peak value of the displacement data is larger than a preset pulling distance threshold value under the difficulty level, and adding one to the value of the effective training times; The method comprises the steps of responding to the fact that the total training times reach a preset value, the effective training times are larger than or equal to a preset effective training times threshold, outputting a training record report and reminding a patient of finishing training of the difficulty level, setting the difficulty level to be a higher level of difficulty level, repeatedly executing the steps, wherein the training record report comprises a training difficulty level, a displacement data maximum value, the effective training times and the total training times, the intelligent training mode further comprises the steps of detecting pressure data between a palm and a training assembly before training is started for the first time and preliminarily setting the training difficulty level according to the pressure data, the pressure data is positively correlated with the corresponding difficulty level, setting the difficulty level of an opponent function training platform comprises the steps of setting a load to be a load corresponding to the difficulty level, setting a pulling distance threshold to be a pulling distance threshold corresponding to the difficulty level, and setting the load to be a load corresponding to the difficulty level.
2. The method of training a hand function based training platform of claim 1, wherein the intelligent training mode further comprises initializing a training duration to zero and starting timing the training duration in response to completion of the training difficulty level setting; and prompting the patient to finish the hand function training and controlling the hand function training platform to stop working in response to the training time reaching the preset training time.
3. The training method based on a hand function training platform as claimed in claim 1, wherein the load applying device is a servo motor, and the method of setting the hand function training platform to the corresponding difficulty level is to adjust the torque output by the servo motor.
4. The method of training a hand function training platform as recited in claim 1 wherein the hand function training platform further comprises a stop button and wherein the intelligent training mode further comprises prompting the patient that hand function training is complete and controlling the hand function training platform to stop operating in response to the stop button being activated.
5. The training method based on a hand function training platform according to any one of claims 1 to 4, wherein the method further comprises a normal training mode, the normal training mode comprising: Responding to manual selection of the difficulty level by a user, and setting the hand function training platform to be a corresponding difficulty level; Responding to completion of training difficulty level setting, acquiring displacement data of a handle flat pull training assembly in real time and starting timing training; Initializing the value of the total training times and the value of the effective training times to zero; Calculating the speed of the handle flat pull training assembly in real time according to the displacement data, and adding one to the value of the total training times in response to the speed being larger than or smaller than zero, wherein the speed is smaller than zero when the speed direction is opposite to the direction of the hand pulling force of the user; Responding to the fact that the peak value of the displacement data is larger than a preset pulling distance threshold value under the difficulty level, and adding one to the value of the effective training times; And responding to the total training time reaching a preset value of the total training time, outputting a training record report, reminding a patient of ending the hand function training and controlling the hand function training platform to stop working, wherein the training record report comprises a training difficulty level, a displacement data maximum value, effective training times and total training times.
6. An electronic device comprising a memory and a processor, wherein a computer program is stored in the memory, and the electronic device is characterized in that the computer program, when executed by the processor, implements the training method based on the hand function training platform according to any one of claims 1-5.
7. A computer readable storage medium, in which a computer program is stored, characterized in that the computer program is configured to implement the training method based on a hand function training platform according to any one of claims 1 to 5 when executed by a processor.

Description

Training method based on hand function training platform, electronic equipment and storage medium Technical Field The present invention relates generally to the field of hand function rehabilitation training technology. More particularly, the invention relates to a training method based on a hand function training platform, an electronic device and a storage medium. Background According to the research of related documents, the number of cerebral apoplexy patients in China is up to 7000 ten thousand at present, and more than 200 ten thousand are newly increased each year. And more than 50% of cerebral apoplexy patients can have upper limb dysfunction with different degrees, wherein the hand dysfunction severely limits the hand functional activities of the patients and severely influences the quality of life. The rehabilitation of clinical opponent dysfunction is mainly realized through a hand function rehabilitation training instrument or a hand function rehabilitation training system. The hand function rehabilitation training device comprises a training component, a load applying device connected with the training component and a host, wherein a user performs rehabilitation training by pulling or grasping the training component. The existing hand function training instrument applies load through weights, the existing hand function training method adjusts the load through changing the weight quantity of hand function training equipment so as to control the training difficulty level, but because the weight quality cannot be infinitely small, the load cannot be finely adjusted through the method, the user experience is poor because the weight quantity is manually adjusted, in addition, the existing hand function training method is that the user selects a difficulty level suitable for the user to train according to the feel, the difficulty level is possibly mismatched with the physical strength of the user, and the training effect is poor only at one difficulty level. Disclosure of Invention In order to solve one or more of the above technical problems, the present invention proposes to automatically select a proper training difficulty level by measuring the grip strength of a user, and automatically select a higher level of difficulty level after the training of the training difficulty level is completed, thereby performing progressive training. To this end, the present invention provides solutions in various aspects as follows. In a first aspect, the present invention provides a training method based on a hand function training platform, the hand function training platform including a handle pull-down training assembly, a load applying device for applying a load to the handle pull-down training assembly, a pressure sensor for detecting a pressure between a palm and the training assembly, and a plurality of photoelectric switches for detecting displacement data of the handle pull-down training assembly; the hand function training platform comprises a plurality of difficulty levels, the higher the difficulty level is, the larger the corresponding load and pull distance threshold value is, the method comprises an intelligent training mode, the intelligent training mode comprises the steps of responding to the completion of setting of the training difficulty level, collecting displacement data of a handle pull training assembly in real time, initializing the value of the total training frequency and the value of the effective training frequency to be zero, calculating the speed of the handle pull training assembly in real time according to the displacement data, responding to the speed being smaller than zero, adding one to the value of the total training frequency, responding to the speed being smaller than zero when the direction of the hand pulling force of a user is opposite, adding one to the value of the effective training frequency in response to the peak value of the displacement data being larger than the pull distance threshold value preset under the difficulty level, responding to the fact that the total training frequency reaches the preset value and the effective training frequency is larger than or equal to the preset effective training frequency threshold value, outputting a training record report and reminding a patient of the end of training of the difficulty level, setting the difficulty level to be higher than the first level, and repeatedly executing the steps. In one embodiment, the intelligent training mode further comprises detecting pressure data between the palm and the training assembly, and initially setting a training difficulty level according to the pressure data. In one embodiment, the intelligent training mode further comprises initializing a training duration to zero and starting timing the training duration in response to completion of the training difficulty level setting; and prompting the patient to finish the hand function training and controlling the hand function training