Improving the Quality of ECG Signal Using Wavelet Transform and Adaptive Filters

Hatamian, Amir; Farshidi, Farzad; Ghobadi, Changiz; Nourinia, Javad; Mostafapour, Ehsan

doi:10.22055/jaree.2022.37567.1030

Document Type : Research article

Authors

¹ Department of Electrical Engineering, Urmia University, Urmia, Iran

² Department of Biomedical Engineering, Islamic Azad University, Science and Research Branch, Tehran

https://doi.org/10.22055/jaree.2022.37567.1030

Abstract

The increasing risk of cardiovascular diseases, stress, high blood pressure, obesity, sleep disorders, and depression causes electrocardiogram (ECG) monitors to be used for diagnosing health. The main objective of this research is to enhance the quality of the ECG signal using wavelet transform and adaptive filters. This research has been made as descriptive-analytic and the method is used in the signal processing stages to calculate the ECG modulation spectrum, the spectral-modulation filtering scheme, and the ECG database from the standard algorithm and performance criteria. The results of the simulation indicate that the conversion of Sym4 and the adaptive filter with the size of 0.0005 and the length of the filter of 25 signals to the noise will be greatly improved to reveal the main features of the ECG signal.

Highlights

Enhancing the quality of the ECG signal using wavelet transform and adaptive filters
Investigating the application of adaptive filter and the wavelet transform on an ECG signal received from the MIT-BIH database
The results of the simulation show that the Sym4 wavelet transform and adaptive filter with step size of 0.0005 and filter length of 25, improve ECG quality.

Keywords

Main Subjects

Telecommunications

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