Cart (Loading....) | Create Account
Close category search window
 

MUAP Classification Based on Wavelet Packet and Fuzzy Clustering Technique

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Xiaomei Ren ; Coll. of Electr. Eng. & Inf. Technol., Sichuan Univ., Chengdu, China ; Hua Huang ; Lihua Deng

The present study compares several methods with regard to feature extraction and classification of motor unit action potentials (MUAPs) for electromyography (EMG) signal decomposition. The technique was applied to single-channel, short-period real myoelectric signals from normal subjects and artificially generated EMG recordings. All the real EMG recordings were made from the biceps brachii of healthy subjects during voluntary contraction at different force. A model, based on the phenomenon of EMG signal, is used to test the proposed technique on synthetic signals with known features. In contrast to previously developed methods based on EMG signal decomposition performance, our technique has two important distinctive characteristics. Firstly, we applied the local discriminant optimal wavelet packet for the feature extraction of MUAPs. Secondly, we optimized the MUAP classification result using the fuzzy C-means clustering technique to improve the EMG decomposition accuracy. Therefore, the method is substantially automatic and has been evaluated with synthetic and experimentally recorded myoelectric signals.

Published in:

Bioinformatics and Biomedical Engineering , 2009. ICBBE 2009. 3rd International Conference on

Date of Conference:

11-13 June 2009

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.