A review of ECG signal filtering approaches

Anas Fouad Ahmed; Mohammed K Al-Obaidi

doi:10.30574/gjeta.2022.11.3.0099

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A review of ECG signal filtering approaches

Anas Fouad Ahmed ^{1, *} and Mohammed K Al-Obaidi ²

1 Electrical Engineering, College of Engineering, Al-Iraqia University, Baghdad, Iraq.

2 Department of Computer Engineering, College of Engineering, Al-Iraqia University, Baghdad, Iraq.

Research Article

Global Journal of Engineering and Technology Advances, 2022, 11(03), 093–097.

Article DOI: 10.30574/gjeta.2022.11.3.0099

DOI url: https://doi.org/10.30574/gjeta.2022.11.3.0099

Publication history

Received on 17 May 2022; revised on 23 June 2022; accepted on 25 June 2022

Abstract

An electrocardiogram (ECG) quantifies the electrical activity of the heart to screen for different heart diseases, although it can be impacted by noise. ECG signal filtering is a crucial pre-processing step that reduces noise and emphasizes the characteristic waves in ECG data. In real-world applications, the ECG signal is contaminated by different types of noise. Separating the desired signal from noises produced by artifacts such as muscle noise, power line interference (PLI), baseline wandering (BW), and motion artifacts (MA) is a complicated task. In this paper, a quick review of various ECG signal denoising methods is introduced.

Keywords

Electrocardiogram; Power Line Interference; Filtering Techniques; Discrete Wavelet Transform; MSE

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How to cite this article

Anas Fouad Ahmed and Mohammed K Al-Obaidi. A review of ECG signal filtering approaches. Global Journal of Engineering and Technology Advances, 2022, 11(3), 093-097. Article DOI: https://doi.org/10.30574/gjeta.2022.11.3.0099

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