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

Clinical applications of myoelectric signal processing by neural network and spectral analysis

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

2 Author(s)
Azzerboni, B. ; DFMTFA, Messina Univ., Italy ; La Foresta, F.

Recent works have shown that the myoelectric signal processing allows to obtain many informations about brain activity during muscle contractions. The knowledge of these informations can be used in order to implement useful rehabilitation methods for neuropatologic patients. Our goal is to give some techniques ables to evaluate muscle functions/dysfunctions in clinical applications by means of neural network and spectral analysis. In this paper we show that during the contraction of postural muscles like pectorals a cerebral low-frequency common drive has found. For this purpose, the simultaneous activities of both pectoral and both first interosseous muscles are recording by surface electromyography. Subsequently, an independent component analysis neural network is performed in order to remove artifacts. The discovery of the common drive in the brain was performed by means of the coherence analysis of myoelectrical signal recorded, based on Welch method spectrum estimate. The obtained results are in agreement with clinical studies.

Published in:

Information Technology Applications in Biomedicine, 2003. 4th International IEEE EMBS Special Topic Conference on

Date of Conference:

24-26 April 2003

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.