By Topic

Elimination of power line noise from EMG signals using an efficient adaptive Laguerre filter

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)
Malboubi, M. ; Dept. of Electr. Eng., Azad Univ., Tehran, Iran ; Razzazi, F. ; Aliyari, S.M.

In this paper a novel algorithm is proposed for cancelling the Power Line Interference (PLI) and its harmonics from Electromyography (EMG) signals using an adaptive IIR Laguerre filter. This algorithm is independent of power line information and reference noise for Laguerre structure is constructed mathematically. The Least Mean Square (LMS) algorithm is used to optimize the filter weights. This Laguerre filter consumes significantly less computational load than adaptive FIR filters and also has better stability than IIR filters. Our simulations and practical experiments indicated that proposed structure has improved Signal to Noise Ratio (SNR) up to 10dB which is significantly more than adaptive FIR filters.

Published in:

Signals and Electronic Systems (ICSES), 2010 International Conference on

Date of Conference:

7-10 Sept. 2010