Elimination of Noise on ECG Signal Using Adaptive Filter

Abstract

There are various biomedical signals present in the human body, by examining these biomedical signal one can check the health condition of a person who is clinically fit or not. Electrocardiogram (ECG) is one of them. ECG plays an important role in the primary diagnosis, prognosis and survival analysis of heart diseases. This ECG signal is corrupted by various noises like power line interference, baseline wandering etc. One way to remove this noise is filtering the signal. This paper will present the performance of adaptive filter on ECG signal. Diseases can be found by mixing power line interference with the ECG signal. We have used the advanced adaptive filtering technique with Least Mean Square Algorithm for the removal of power line interference from the ECG signal. Also we have changed different parameter of adaptive filter and we analyzed the performance of algorithm in terms of Signal to Noise Ratio (SNR) improvement.

Keywords: ECG Signal, Adaptive Filter, Least Mean Square (LMS), signal to noise ratio (SNR)

Cite this Article

Shabnam Tahmin, Zeenat Afroze. Elimination of Noise on ECG Signal Using Adaptive Filter. Current Trends in Signal Processing. 2016; 6(3): 9–15p.