Author/Authors :
Malboubi، Mojtaba , نويسنده Department of Electrical Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran. , , Kargar، Seyed Mohammad نويسنده Department of Electrical Engineering, Najafabad Branch, Islamic Azad University, Isfahan, Iran. , , Mousavi، Ali نويسنده Department of Mechatronic Engineering, Majlesi Branch, Islamic Azad University, Isfahan, Iran. ,
Abstract :
Biomedical signals are always corrupted with different noises and interferences. Power Line Interference (PLI) is one
of the most important interferences, which decreases the quality of the biomedical signals significantly. In this paper, a
novel algorithm, based on adaptive IIR Laguerre filters has been proposed to eliminate the Power Line Interference
(PLI) and its harmonics from Electromyography (EMG) signals. The proposed algorithm has used an internal
mathematically constructed reference noise for the adaptive Laguerre filter, thus it is independent of the power line
information to eliminate the noise. The Least Mean Square (LMS) algorithm with fuzzy step size has been used to
optimize the filter weights which highly increase the filter performance. This proposed filter has consumed fewer
computational load than adaptive FIR filters, and also it has shown better stability than IIR filters. Our practical
experiments showed that our Laguerre structures could eliminate the PLI from EMG signals successfully and
increased the SNR up to 12db that was more efficient than other adaptive algorithms.
