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

Differentiating between the frequency characteristics of different healthy muscles via cluster 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)
Rashwan, A.H. ; Dept. of Syst. & Biomed. Eng., Cairo Univ., Egypt ; Rasmy, M.E.M.

The authors attempt to address the question of whether there exists a subtle characteristic difference between different healthy EMG muscle patterns. To answer this question, EMG data were collected from four muscles, namely, the deltoid, the biceps, the interosseus dorsalis, and the frontalis muscles. EMG measurements from surface electrodes were recorded from seven subjects at different percentage of the MVC of each muscle of each subject. Analyzing the different EMG records using the power spectrum revealed visible differences in the spectra characteristic between three of the four muscles investigated. Cluster analysis was then utilized to group the EMG data records into four categories. The records that fall in one of those categories are supposed to have similar characteristics from the power spectrum point of view. Results obtained indicate that cluster analysis based on the periodogram feature is capable of differentiating between the characteristics of the biceps, deltoid and the interosseus dorsalis muscles

Published in:

Biomedical Engineering Days, 1992., Proceedings of the 1992 International

Date of Conference:

18-20 Aug 1992

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.