A Review on Adaptive Filtering Techniques for Power Line Interference Removal from Biomedical Signals
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2015, Vol 3, Issue 5
Abstract
The recorded signals tend to get contaminated with background noise and to extract the high-resolution ECG signals from them is a vital matter of exploration. The objective behind ECG signal enhancement is basically to isolate the valid signal components from the undesired artefacts, in order to yield an ECG that enables easy and exact interpretation. Numerous methodologies have been worked upon and reported in the paper to address ECG enhancement. Several kinds of noise exist in biomedical environment like Power Line Interference (PLI), baseline wander and noise due to muscles contraction and relaxation. Out of them, PLI is considered to be the key source of noise which seriously disturbs the characteristics of ECG signals. PLI removal is an essential task for investigating the ECG signal. PLI are of two types, namely stationary and nonstationary. Notch filters are employed to remove stationary power line interference and adaptive cancellers are used to handle non-stationary power line interference. The adaptive filter adjusts its filter coefficients in accordance with the adaptive algorithm. This paper discusses an effective adaptive algorithm used for eliminating power line interference from ECG signal. The filter algorithm is designed using MATLAB software and tested on ECG signal contaminated with several power line frequencies. The proposed method can also be employed to filter out the PLI even when corrupted ECG signal has low signal-tonoise ratio (SNR).
Authors and Affiliations
Wasim Maroofi, Tafhim Khan, Sanjay R. Ganar
Keywords
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- EP ID EP20585
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