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

Myoelectricity continuous decoding method for man-machine natural driving angle of prosthetic wrist joint

A decoding method and wrist joint technology, applied in prosthetics, medical science, sensors, etc., can solve problems that cannot meet the needs of daily life, and achieve the effects of avoiding individual differences, high resolution, and high capture frequency

Active Publication Date: 2018-12-18
XI AN JIAOTONG UNIV
View PDF7 Cites 12 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Traditional prosthetic hands only serve the function of modification and cannot meet their daily needs

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
  • Myoelectricity continuous decoding method for man-machine natural driving angle of prosthetic wrist joint
  • Myoelectricity continuous decoding method for man-machine natural driving angle of prosthetic wrist joint
  • Myoelectricity continuous decoding method for man-machine natural driving angle of prosthetic wrist joint

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0025] The present invention is described in further detail below in conjunction with accompanying drawing:

[0026] see figure 1 , the present invention uses a three-dimensional motion capture system to record the kinematics data of the healthy side wrist joint bending and stretching process, and calculates the angle of wrist joint bending and stretching; the electromyography instrument synchronously collects the surface electromyography signal of the forearm muscle on the residual side, and after preprocessing and feature extraction Obtain the feature of myoelectric activity; take the feature of myoelectric activity as the input of the BP neural network, and the angle of wrist joint flexion and extension as the output of the BP neural network, train the BP neural network, set the error range, and stop iteration after the error condition is met , to obtain a stable human-machine natural driving angle model of the arm decoding fake wrist joint; finally input the activity stren...

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 relates to a myoelectricity continuous decoding method for the man-machine natural driving angle of a prosthetic wrist joint. According to the method, a disabled person can imagine a missing hand thereof to do the wrist joint motion of the same angle with that of a healthy hand. At this time, the surface electromyogram signal of the residual limb forearm of the disabled person and the uninjured-side wrist joint movement angle of the disabled person are collected. In this way, a man-machine natural driving angle model of a surface electromyogram signal continuously-decoded prosthetic wrist joint can be established. The method is simple to operate and high in accuracy. A three-dimensional motion capturing system can be high in resolution and high in capturing frequency at the same time. Based on the method, a calculated joint angle is high in accuracy. Compared with a conventional wearing type angle sensor, the compression type interference cannot be caused to surface electromyographic signals. An interface which performs synchronous collection with an electromyography is provided, so that the simultaneous collection of three-dimensional motion capture angles and surface electromyographic signals is realized.In addition, the sampling frequency of the electromyography is 2048 Hz, and the surface change situation of electromyogram signals can be collected in real time.

Description

technical field [0001] The invention belongs to the technical field of intelligent prosthetic hand and biomechanical integration, and relates to a myoelectric continuous decoding method of the human-machine natural driving angle of a prosthetic wrist joint. Background technique [0002] According to the latest statistics from the China Disabled Persons' Federation, there are about 24.72 million people with physical disabilities in my country, among which there are tens of millions of hand disabled patients. The loss of hand function not only affects the life and work of the disabled, but also brings a heavy blow to their psychology. Traditional prosthetic hands only serve the function of modification and cannot meet their daily needs. The emergence of intelligent prosthetic hands makes up for the lack of functions of traditional prosthetic hands. Myoelectrically controlled prosthetic hands have become a research hotspot because of their convenient wear, accurate control, an...

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): A61F2/72A61B5/0488
CPCA61B5/7264A61F2/72A61B5/389
Inventor 张小栋孙晓峰陆竹风李瀚哲李睿郭健杨昆才
Owner XI AN JIAOTONG 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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com