Adaptive Laguerre Filters for Elimination of Power Line Noise from EMG Signals: Fixed and Fuzzy Step Size Approaches

Majlesi Journal of Electrical Engineering

مقاله 4، دوره 6، شماره 4، بهمن 2012   

نوع مقاله: Review Article

نویسندگان

Mojtaba Malboubi^{* 1}؛ Seyed Mohammad Kargar²؛ Seyed Ali Mousavi³

¹Dept. of Electrical Engineering, Islamic Azad University, Science and Research Branch

²Dept. of Electrical Engineering, Islamic Azad University, Najaf Abad Branch

³Dept. of Mechanical Engineering, Najafabad Branch, Islamic Azad University

چکیده

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.

مراجع

[1] R.L. Ortolan., R.N. Mori., R.R. Pereira., C.M.N. Cabral., J.C. Pereira., A. Cliquet., “Evaluation of Adaptive/Nonadaptive Filtering and Wavelet Transform Techniques for Noise Reduction in EMG Mobile Acquisition Equipment,”, IEEE Trans. Neural Systems And Rehabilitation Engineering, VOL. 11, NO. 1, March 2003.

[2] Roberto Merletti., Philip Parker., “Electromyography Physiology, Engineering, and Noninvasive Applications,” IEEE Press Engineering in Medicine and Biology Society, 2004.

[3] S. Yacoub., K. Raoof., “Noise Removal from Surface Respiratory EMG Signal,” International Journal of Computer, Information, and Systems Science, and Engineering, VOL. 2, NO. 4, pp. 226-233, 2008.

[4] S.M.M. Martens, M. Mischi, S.G. Oei, and Jan W. M. Bergmans., “An Improved Adaptive Power Line Interference Canceller for Electrocardiography,” IEEE Trans. Bio-Med. Eng., VOL. 53, NO 11, pp 2220-2231, 2006.

[5] A.K. Ziarani, A. Konrad., “A Nonlinear Adaptive Method of Elimination of Power Line Interference in ECG Signals,” IEEE Trans. Bio-Med. Eng., VOL. 49, NO. 6, pp. 540-547, JUNE 2002.

[6] Zhao Zhidong, Ma Chan., “A Novel Cancellation Method of Powerline Interference in ECG Signal Based on EMD and Adaptive Filter,” IEEE. International Conference on Communication Technology, pp. 517 – 520, 2008

[7] Simon Haykin, “Adaptive Filter Theory,” Prentice Hall, 4th Edition.

[8] P. Heinonen, T. Saramaki, J. Malmivuo, Y. Neuvo, “Periodic Interference Rejection Using Coherent Sampling and Waveform Estimation,” IEEE Trans. Circuits and Systems, VOL. 31, NO. 5, pp 438-446, 1984

[9] A. Pomsathit, P. Wattanaluk, O. Sangaroon, C. Benjangkaprasert “Variable Step-Size Algorithm for Lattice Form Structure Adaptive IIR Notch Filter,” Proc. IEEE, Communications Circuits and Systems, pp. 332-335, 2006

[10] S. Acharya, D.H Mugler, B.C. Taylor, “A Fast Adaptive Filter for Electrocardiography,” Proc. IEEE, Bioengineering Conference, pp 106-107, 2004

[11] Tom´as Oliveira e Silva “Laguerre Filters – An Introduction” Revista do DETUA, VOL. 1, NO. 3, pp. 237-248, Jan. 1995.

[12] Harm Belt, Orthonormal Bases for Adaptive Filtering PHD Thesis, 2008.

[13] M. Asadi, F. Razzazi, “Adaptive determination of the free parameters of generalized orthonormal IIR adaptive filters using genetic algorithm,” Proc. IEEE, Computer, Control and Communication, 2009.

[14] Li-Xin Wang, A Course In Fuzzy Systems and Control, Printice Hall, 1th Edition.

[15] Mojtaba Malboubi, Farbod Razzazi, Mahdi Aliyari. Sh, “ Elimination of Power Line Noise from EMG Signals Using an Efficient Adaptive Laguerre Filter”, 7th IEEE International Conference on Signals and Electronic system, 2010.