Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Wrist rehabilitation training system based on muscle coordination and variable stiffness impedance control

An impedance control and rehabilitation training technology, applied in the fields of rehabilitation training and motor learning, can solve the problems of unable to exert the patient's initiative and enthusiasm, and not paying attention to the recovery of hand muscle strength, so as to increase the fun, high accuracy and improve the effect. Effect

Pending Publication Date: 2022-07-29
SOUTHEAST UNIV
View PDF0 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, passive rehabilitation training is mostly used, and the robot drives the patient to complete the preset trajectory, which cannot give full play to the initiative and enthusiasm of the patient.
In addition, most rehabilitation training only focuses on the recovery of the wrist movement of the patient's hand, but does not pay attention to the recovery of hand muscle strength

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Wrist rehabilitation training system based on muscle coordination and variable stiffness impedance control
  • Wrist rehabilitation training system based on muscle coordination and variable stiffness impedance control
  • Wrist rehabilitation training system based on muscle coordination and variable stiffness impedance control

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0037] The present invention will be further clarified below with reference to the accompanying drawings and specific embodiments. It should be understood that the following specific embodiments are only used to illustrate the present invention and not to limit the scope of the present invention.

[0038] The rehabilitation training task in the present invention generally refers to the free movement of the wrist and fingers in daily life, such as complex tasks such as taking things and doing housework. Here, the therapist / technician informs the goal of the game, and subjects can control the movement of the goal through finger and wrist movements to complete the task.

[0039] like figure 1 As shown, the wrist rehabilitation training system based on muscle coordination and variable stiffness impedance control provided by an example of the present invention includes the following steps:

[0040] (1) Collect surface EMG signals and preprocessing during flexion and extension of w...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a wrist rehabilitation training system based on muscle coordination and variable stiffness impedance control. The wrist rehabilitation training system comprises the following modules: an electromyographic signal acquisition and preprocessing module, a muscle coordination decomposition and mapping model acquisition module, a man-machine interaction control module and a virtual reality severe game module. The system collects a user forearm surface electromyographic signal, obtains time domain cooperation by using a non-negative matrix factorization method, establishes a position and rigidity estimation model, and controls movement of a target in a severe game in a variable rigidity impedance control mode to complete a training task. According to the system, the accuracy of estimation from an electromyographic signal to a joint angle is improved by using muscle collaborative decomposition and a multi-layer perception model; by using a variable impedance control strategy, a user can adjust activation of wrist muscles according to environmental interference, so that the wrist rigidity is changed; the enthusiasm of the user in participating in rehabilitation training is improved by using a severe game, and the efficiency of rehabilitation training is improved.

Description

technical field [0001] The invention belongs to the fields of rehabilitation training and sports learning, and in particular relates to a wrist rehabilitation training system based on muscle coordination and variable stiffness impedance control. Background technique [0002] Stroke is an acute cerebrovascular disease that is caused by sudden rupture or blockage of blood vessels in the brain, resulting in the inability of blood to flow into the brain, resulting in brain tissue damage. The "China Stroke Prevention and Control Report 2019" outlines that stroke is a major chronic disease that seriously endangers the health of Chinese nationals. Stroke has a high incidence and disability rate, among which 70%-80% of the patients will have hemiplegia symptoms, which makes the patients lose the ability of independent activities of daily living, seriously affects the patients' living standards, and may also cause various physiological symptoms. Physical and mental illness, even lif...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G16H20/30G16H40/63G06F3/01A61B5/397A63B23/14A63F13/212A63F13/46A63F13/67
CPCG16H20/30G16H40/63G06F3/015A61B5/397A63B23/14A63F13/212A63F13/46A63F13/67A61B2505/09A63F2300/1012A63F2300/6027A63F2300/61
Inventor 曾洪段银鑫李潇陈晴晴宋爱国
Owner SOUTHEAST UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products