High frequency noise removal from ECG using moving average filters

Abstract

The electro-cardiogram (ECG) is graphical representation of electro-mechanical activities of the heart. It reflects the state of heart and is very much useful in disease diagnosis. Since, ECG signal contains high frequency noise which is well known as power line interference hence, it must be removed for the further processing This paper presents an algorithm, developed for denoising high frequency noise from ECG signal which is based on moving average filter. The filtering process is followed by an algorithm for smoothing the ECG signal using polynomial curve fitting. Its denoising performance is implemented, smoothened and compared in C++ environment. The proposed algorithm need not requires redundant pre-processing steps, thus allowing a simple architecture for its implementation as well as low computational cost.