Removal of High Frequency Noise from the ECG Signal Using Averaging Filters

Vishakha Pandey*, V. K. Giri**
* B.Tech Student, Department of Electrical Engineering, Madan Mohan Malaviya University of Technology, Gorakhpur, India.
** Professor, Department of Electrical Engineering, Madan Mohan Malaviya University of Technology, Gorakhpur, India.
Periodicity:July - September'2015
DOI : https://doi.org/10.26634/jdp.3.3.3590

Abstract

The Electro-CardioGram (ECG) is a graphical representation of electro-mechanical activities of the heart. It reflects the state of heart, and is very much useful in disease diagnosis. Since, the ECG signal contains high frequency noise, is well known as power line interference. Hence, it must be removed for further processing. This paper presents an algorithm, developed for denoising high frequency noise from ECG signal which is based on a simple averaging and a moving averaging filter. The filtering process is followed by an algorithm for smoothing the ECG signal using polynomial curve fitting. It’s denoising performance is implemented, smoothened, and compared in the C++ environment. The proposed algorithm does require redundant preprocessing steps, thus allowing a simple architecture for its implementation as well as low computational cost.

Keywords

Electro Cardio Gram, Denoising, Average Filtering, Polynomial Curve Fitting

How to Cite this Article?

Pandey,V., and Giri.V.K. (2015). Removal of High Frequency Noise from the ECG Signal Using Averaging Filters. i-manager's journal on Digital Signal Processing, 3(3), 7-14. https://doi.org/10.26634/jdp.3.3.3590

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