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Self-training method and system

A training mode and training parameter technology, applied in the field of autonomous training, can solve the problems of limited training effect and poor repeatability, and achieve the effects of increasing fun, simple operation, and improving subjective initiative

Inactive Publication Date: 2016-12-07
王春宝
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In wrist and finger rehabilitation training, the therapist's manual operation is the main method. The training method is based on the therapist's subjective operation, which has defects such as poor repeatability and limited training effect.

Method used

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  • Self-training method and system

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0047] Reference figure 1 , figure 1 It is a method flowchart of the first embodiment of an autonomous training method of the present invention.

[0048] In the first embodiment, the autonomous training method includes:

[0049] S101: Obtain the motion state information of the distal joint of the contralateral side of the hemiplegic patient and the electromyographic signal of the key muscle at the distal joint;

[0050] One side of a hemiplegic patient is healthy and can move freely, which is called the healthy side, and the other side is unable to move the limbs due to factors such as stroke, which is called the affected side. For patients with hemiplegia, the rehabilitation of distal joints such as wrist joints, finger joints and ankle joints is of great significance to the overall rehabilitation of hemiplegic patients. At the same time, the active participation of patients has significantly improved the rehabilitation effect of hemiplegic patients.

[0051] S102, controlling the di...

Embodiment 2

[0067] Reference figure 2 , figure 2 It is a method flowchart of the second embodiment of an autonomous training method of the present invention.

[0068] In the second embodiment, the autonomous training method includes:

[0069] S201: Obtain the motion state information of the distal joint on the contralateral side of the hemiplegic patient and the electromyographic signals of the key muscles at the distal joint;

[0070] S202: Determine the autonomous training mode, if the autonomous training mode is the active training mode, go to step S203; if the autonomous training mode is the combined training mode, go to step S206; if the autonomous training mode is the passive training mode, go to step S209.

[0071] S203: Control the distal joint of the affected side of the hemiplegic patient to perform the same rehabilitation exercise as the distal joint of the healthy side of the hemiplegic patient according to the motion state information;

[0072] S204, when the key muscles at the dist...

Embodiment 3

[0090] Reference image 3 , image 3 It is a structural block diagram of the first embodiment of an autonomous training system of the present invention.

[0091] In the third embodiment, the autonomous training system includes:

[0092] The motion detection device 01 is used to obtain the motion state information of the distal joint of the healthy side of the hemiplegic patient;

[0093] The motion detection device includes a data glove for detecting the motion state of the uninvolved wrist and finger joints of a hemiplegic patient, and a motion detection device for detecting the motion state of the ankle joint. The motion state includes the motion angular velocity of the uninhibited wrist joint, finger joint and ankle joint of the hemiplegic patient , Movement speed, maximum movement angle and maximum movement speed.

[0094] Muscle electricity detection device EMG02, used to obtain the EMG signal of key muscles at the distal joints;

[0095] The autonomous training module 03 is used ...

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Abstract

The invention discloses a self-training method and system. The method comprises steps as follows: acquiring motion state information about a distal joint on the uninjured side of a hemiplegic patient and an electromyographic signal of key muscles at the distal joint; controlling the distal joint on the affected side of the hemiplegic patient to conduct corresponding rehabilitation exercises according to the motion state information and the electromyographic signal; controlling motion of a controlled object in a preset virtual scene according to the rehabilitation exercises. The affected side is controlled to conduct the corresponding rehabilitation exercises according to the motion state information on the uninjured side of the hemiplegic patient, and the patient is allowed to participate in rehabilitation training actively, therefore, the subjective initiative of the patient is improved, the rehabilitation exercise interestingness is increased, the operation is simple, and the training effect is improved.

Description

Technical field [0001] The invention relates to the technical field of rehabilitation training for patients with hemiplegia, in particular to a method and system for autonomous training. Background technique [0002] For hemiplegic patients, rehabilitation of distal joints such as the ankle, wrist, and fingers is of great significance to the overall rehabilitation of hemiplegic patients. Traditional ankle rehabilitation training can be divided into passive training and active training. In passive training, the therapist helps the patient to move the ankle joint, assisting the patient in dorsiflexion, varus and other training; in active training, the patient uses simple rehabilitation equipment such as bandages to fix the ankle joint and specific position. In the wrist and finger rehabilitation training, manual operation by the therapist is the main method. The training method is based on the therapist's subjective operation, which has defects such as poor repeatability and limit...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61H1/02A61N1/36
CPCA61H1/02A61N1/36A61H1/0237A61H1/0218A61H2001/0211A61H2230/085A61N1/36003
Inventor 王春宝段丽红李伟光王玉龙龙建军刘铨权孙同阳韦成栋陆志祥侯安新陈朋方陈浩秋申亚京李萌
Owner 王春宝
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