An Improved Power Line Interference Reduction Approach Based on Combination of Mirror Extension and IIR filtering Through a Data Driven Mechanism

Abstract

Electrocardiogram (ECG) is a clinical sign monitoring measurement of the cardiac abnormalities. Like other biomedical signals, the ECG signal is also contaminated by various kinds of noise and artifacts such as power line interference, base line wandering, muscle artifacts and electrode artifacts. The present paper proposes a scheme for power line interference (PLI) reduction from ECG signal. It makes use of the concept of mirror method, empirical mode decomposition (EMD) and infinite impulse response (IIR) filtering. The three stage process has multiple advantages: (a) Mirror method removes the end effect problem in EMD. (b) EMD effectively separates the 50 Hz interference from ECG signal. (c)The 50 Hz interference and side lobes noise in intrinsic mode function (IMF’s) are further reduced using the IIR filtering technique. The proposed scheme was validated on simulated and real ECG records acquired from MIT-BIH arrhythmia database using metrics of Signal-to-noise ratio (SNR), mean square error (MSE), and percentage root mean square error difference (PRD). Typically achieved values are SNR = 69.38, MSE = 1.015×10−6, and PRD = 6.8810×10−6 on an average for an ECG signal corrupted by 5% noise level. Moreover, a comparison with the conventional EMD and other recent state of art works clearly validates the superiority of the proposed method.

Keywords: Electrocardiogram (ECG), Empirical mode decomposition (EMD), Intrinsic mode function (IMF), Infinite impulse response (IIR)

Cite this Article
Poonam Poonia, B. S. Saini, Taranjit Kaur. An Improved Power Line Interference Reduction Approach Based on Combination of Mirror Extension and IIR Filtering Through a Data Driven Mechanism. Current Trends in Signal Processing. 2017; 7(2): 13–21p.