A Brief Study on Noise Reduction Approaches Used in Electrocardiogram

摘要

This paper provides a review of the comparative study of Electrocardiogram (ECG) waveforms noise removal methods. Several methodologies involving the denoising of ECG signals are explored. The noise artifacts namely low frequency baseline wander, muscle artifacts and interference due to operating electrical current (Power Line Interference) are studied and discussed. To address these noise issues, adaptive data driven techniques such as Empirical Mode Decomposition (EMD), Ensemble Empirical Mode Decomposition (EEMD) approaches are employed. The process includes decomposing a noisy ECG signal into various Intrinsic Mode Functions (IMFs). These IMFs are further processed to extract the essential signal content and thereby reducing the noise components. Also, a comparative study of many other methods is listed and summarized.