Unlock instant, AI-driven research and patent intelligence for your innovation.

System and method for identifying surface electromyogram signals

A technology of electromyography signal and signal conditioning circuit, which is applied in the system field of surface electromyography signal recognition, can solve the problems of low action recognition rate and difficulty in effectively obtaining characteristic parameters of surface electromyography signal, and achieve the effect of improving accuracy

Pending Publication Date: 2021-05-28
SHANGHAI LONGCHEER TECH CO LTD
View PDF4 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] One purpose of the present application is to provide a system and method for identifying surface electromyographic signals, so as to solve the problems in the prior art that it is difficult to effectively obtain the characteristic parameters of surface electromyographic signals and the low action recognition rate

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
  • System and method for identifying surface electromyogram signals
  • System and method for identifying surface electromyogram signals
  • System and method for identifying surface electromyogram signals

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0060] The application will be described in further detail below in conjunction with the accompanying drawings.

[0061] In a typical configuration of the present application, the terminal, the device serving the network and the trusted party all include one or more processors (CPUs), input / output interfaces, network interfaces and memory.

[0062] Memory may include non-permanent storage in computer readable media, in the form of random access memory (RAM) and / or nonvolatile memory such as read only memory (ROM) or flash RAM. Memory is an example of computer readable media.

[0063] Computer-readable media, including both permanent and non-permanent, removable and non-removable media, can be implemented by any method or technology for storage of information. Information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random acce...

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 aims to provide a system and method for identifying surface electromyogram signals, and the method comprises the steps: collecting surface electromyogram signals of multiple parts of a human body, carrying out the specified preprocessing of the surface electromyogram signals, determining the surface electromyogram signals after the specified preprocessing, and storing the surface electromyogram signals after the specified preprocessing; on the basis of a preset feature extraction model, performing feature extraction processing on the surface electromyogram signals obtained after specified preprocessing, and determining a target feature matrix; and performing identification processing on the target feature matrix, and determining a target action category. Therefore, reliable and stable surface electromyogram signal data are collected in real time, the surface electromyogram signals are accurately represented through multi-channel data fusion wavelet packet principal component analysis, and the accuracy of user limb movement recognition is improved.

Description

technical field [0001] The present application relates to the field of computers, in particular to a system and method for identifying surface electromyographic signals. Background technique [0002] At present, the surface electromyographic signal is of great significance to the muscle rehabilitation project of the disabled, the muscle training project of athletes, and the control application of intelligent prosthetic limbs and intelligent wheelchairs. In view of the non-stationarity of surface electromechanical signals, it is difficult to effectively obtain the characteristic parameters of surface electromechanical signals in the existing surface electromechanical signal recognition methods, and the dimensionality in the calculation process is too high, and the feature accuracy extracted after dimensionality reduction is low. The recognition rate is low. Contents of the invention [0003] One purpose of the present application is to provide a system and method for ident...

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
IPC IPC(8): A61B5/389A61B5/397A61B5/00
CPCA61B5/7203A61B5/725A61B5/7225A61B5/7235A61B5/7267
Inventor 姜磊徐可刘成王喆杜军红葛振纲
Owner SHANGHAI LONGCHEER TECH CO LTD
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More