Title: Modified approach for ECG signal denoising based on empirical mode decomposition and moving average filter

Authors: Sonali Jha; Omkar Singh; Ramesh Kumar Sunkaria

Addresses: Department of Electronics and Electrical Engineering, Lovely Professional University, Jalandhar-Delhi G.T. Road (NH-1), Phagwara 144402, Punjab, India ' Department of Electronics and Electrical Engineering, Lovely Professional University, Jalandhar-Delhi G.T. Road (NH-1), Phagwara 144402, Punjab, India ' Department of Electronics and Communication Engineering, Dr. B.R. Ambedkar National Institute of Technology, Jalandhar 144011, Punjab, India

Abstract: Electrocardiogram (ECG) signals are the reflections of the heart's condition and hence any abnormal heart condition will also appear as irregularities in the ECG signal. Different noises that get embedded with ECG signal during its acquisition and transmission are powerline interference, baseline wandering, electromyogram noises, motion artefacts, and channel noises. Hence, for the proper diagnosis of the heart, the ECG signals must be free of noises. In this work, denoising of the ECG signal is the major objective and technique used for this purpose is based on the empirical mode decomposition (EMD) due to its adaptive and data driven nature suitable for any non-stationary signal. The high frequency noises have been considered for removal that includes electromyogram noises (MA), motion artefacts (EM), as well as White Gaussian noises. The proposed algorithm is compared with the existing algorithms and promising results are obtained which justifies the validation of the proposed method.

Keywords: electrocardiograms; ECG signals; signal denoising; empirical mode decomposition; EMD; intrinsic mode function; IMF; motion artefacts; electromyograms; EMG noise; moving average filter; abnormal heart condition.

DOI: 10.1504/IJMEI.2014.060250

International Journal of Medical Engineering and Informatics, 2014 Vol.6 No.2, pp.165 - 188

Received: 24 Apr 2013
Accepted: 01 Nov 2013
Published online: 24 May 2014 *

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