Title of article
Improving the Quality of ECG Signal Using Wavelet Transform and Adaptive Filters
Author/Authors
Hatamian ، Amir Department of Electrical Engineering - Urmia University , Farshidi ، Farzad Department of Biomedical Engineering - Islamic Azad University, Science and Research Branch , Ghobadi ، Changiz Department of Electrical Engineering - Urmia University , Nourinia ، Javad Department of Electrical Engineering - Urmia University , Mostafapour ، Ehsan Department of Electrical Engineering - Urmia University
From page
45
To page
53
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.
Keywords
ECG Signal Quality , Wavelet , Adaptive Filter
Journal title
Journal of Applied Research in Electrical Engineering
Journal title
Journal of Applied Research in Electrical Engineering
Record number
2772201
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