Powerline interference reduction in ECG signals using empirical wavelet transform and adaptive filtering

Abstract Separating an information-bearing signal from the background noise is a general problem in signal processing. In a clinical environment during acquisition of an electrocardiogram (ECG) signal, The ECG signal is corrupted by various noise sources such as powerline interference (PLI), baseline wander and muscle artifacts. This paper presents novel methods for reduction of powerline interference in ECG signals using empirical wavelet transform (EWT) and adaptive filtering. The proposed methods are compared with the empirical mode decomposition (EMD) based PLI cancellation methods. A total of six methods for PLI reduction based on EMD and EWT are analysed and their results are presented in this paper. The EWT-based de-noising methods have less computational complexity and are more efficient as compared with the EMD-based de-noising methods.

[1]  Stanford R. Ovshinsky,et al.  Amorphous semiconductors for switching, memory, and imaging applications , 1973 .

[2]  J G Webster,et al.  60-HZ interference in electrocardiography. , 1973, IEEE transactions on bio-medical engineering.

[3]  B. Widrow,et al.  Adaptive noise cancelling: Principles and applications , 1975 .

[4]  B. Widrow,et al.  Stationary and nonstationary learning characteristics of the LMS adaptive filter , 1976, Proceedings of the IEEE.

[5]  J. van Alsté,et al.  Removal of Base-Line Wander and Power-Line Interference from the ECG by an Efficient FIR Filter with a Reduced Number of Taps , 1985, IEEE Transactions on Biomedical Engineering.

[6]  S. Haykin,et al.  Adaptive Filter Theory , 1986 .

[7]  N.V. Thakor,et al.  Applications of adaptive filtering to ECG analysis: noise cancellation and arrhythmia detection , 1991, IEEE Transactions on Biomedical Engineering.

[8]  P. Vaidyanathan.  Multirate Systems And Filter Banks , 1992 .

[9]  Monson H. Hayes,et al.  Statistical Digital Signal Processing and Modeling , 1996 .

[10]  P.S. Hamilton,et al.  A comparison of adaptive and nonadaptive filters for reduction of power line interference in the ECG , 1996, IEEE Transactions on Biomedical Engineering.

[11]  N. Huang,et al.  The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis , 1998, Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.

[12]  S. Mallat.  A wavelet tour of signal processing , 1998 .

[13]  Robert Bregovic,et al.  Multirate Systems and Filter Banks , 2002 .

[14]  Alireza K. Ziarani,et al.  A nonlinear adaptive method of elimination of power line interference in ECG signals , 2002, IEEE Transactions on Biomedical Engineering.

[15]  P. Asbeck,et al.  Demonstration of low-knee voltage high-breakdown GaInP double HBTs using novel compound collector design , 2002 .

[16]  I P Mitov,et al.  A method for reduction of power line interference in the ECG. , 2004, Medical engineering & physics.

[17]  Gabriel Rilling,et al.  Empirical mode decomposition as a filter bank , 2004, IEEE Signal Processing Letters.

[18]  Jacek M. Leski,et al.  ECG baseline wander and powerline interference reduction using nonlinear filter bank , 2005, Signal Process..

[19]  N. Kumaravel,et al.  Genetic-algorithm cancellation of sinusoidal powerline interference in electrocardiograms , 1998, Medical and Biological Engineering and Computing.

[20]  Zhou Runjing,et al.  An Improved Self-Adaptive Filter Based on LMS Algorithm for Filtering 50Hz Interference in ECG Signals , 2007, 2007 8th International Conference on Electronic Measurement and Instruments.

[21]  Abdel-Ouahab Boudraa,et al.  EMD-Based Signal Filtering , 2007, IEEE Transactions on Instrumentation and Measurement.

[22]  Stéphane Mallat,et al.  A Wavelet Tour of Signal Processing - The Sparse Way, 3rd Edition , 2008 .

[23]  Jérôme Gilles,et al.  Empirical Wavelet Transform , 2013, IEEE Transactions on Signal Processing.

[24]  Anubha Gupta,et al.  Fractal and EMD based removal of baseline wander and powerline interference from ECG signals , 2013, Comput. Biol. Medicine.

[25]  N. Kumaravel,et al.  Empirical mode decomposition based filtering techniques for power line interference reduction in electrocardiogram using various adaptive structures and subtraction methods , 2013, Biomed. Signal Process. Control..