Noise Removal for Baseline Wander and Power Line in Electrocardiograph Signals

Baselines wander and power line interference reduction is the first step in all Electrocardiograph (ECG) output signal function. The baseline wander is caused by changeable electrode-skin impedance, patients’ movements and breath. The ECG signal is also degraded by additive 50 or 60 Hz power line interference. Adaptive filter is a primary method to ECG signal filters, since it does not require the statistical characteristics of signal. This project presents a novel adaptive filter for removing the artifacts from ECG signals based on Constrained Stability Least Mean Square (CSLMS) algorithm. This algorithm provides significant improvements in decreasing mean-squared error (EMSE) and consequently minimizing signal distortion. Different filter structures are presented to eliminate the diverse forms of noise. Then apply this algorithm on ECG signals from the MIT-BIH data base and compare its performance with the conventional Least Mean Square algorithm. The outputs show that the performance of the CSLMS based algorithm is superior to that of the LMS based algorithm in noise reduction.