By Topic

Analysis of the compression of the spectral density of a surface EMG signal by methods based on the FFT

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)
Bekka, R.E. ; Dept. d''Electron., Setif Univ., Algeria ; Mihi, A. ; Chikouche, D.

This article presents the application of methods of spectral analysis based on the FFT algorithm to the compression of the spectral density of the power of a surface EMG signal. This change is frequently generalised by the average and median frequencies. The modal frequency is another characteristic able to be calculated, but, it is also demonstrated that it does not permit credible evaluations of the spectral density. In this work we show that the estimation of the spectral density by the correlogram method associated with the windows of balance permits control of the compression by the modal frequency. What is more, we propose to reduce the fluctuations of the periodogram by a smoothing method based on the regression polynomial of order 6. This suggestion permits pursuit of the spectral compression by the three characteristic frequencies

Published in:

Electrical and Computer Engineering, 2001. Canadian Conference on  (Volume:2 )

Date of Conference: