Title :
Elimination of power line noise from EMG signals using an efficient adaptive Laguerre filter
Author :
Malboubi, Mojtaba ; Razzazi, Farbod ; Aliyari, Sh Mahdi
Author_Institution :
Dept. of Electr. Eng., Azad Univ., Tehran, Iran
Abstract :
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.
Keywords :
IIR filters; adaptive filters; electromyography; least mean squares methods; medical signal processing; stability; stochastic processes; EMG signals; IIR filters; LMS algorithm; Laguerre structure; PLI; SNR; adaptive FIR filters; adaptive IIR Laguerre filter; adaptive Laguerre filter; computational load; electromyography signals; filter weights; harmonics; least mean aquare algorith; power line information; power line interference; power line noise; reference noise; signal to noise ratio; stability; Adaptive filters; Electromyography; Finite impulse response filter; IIR filters; Low pass filters; Power harmonic filters; Transversal filters;
Conference_Titel :
Signals and Electronic Systems (ICSES), 2010 International Conference on
Conference_Location :
Gliwice
Print_ISBN :
978-1-4244-5307-8
Electronic_ISBN :
978-83-9047-4-2
