International Journal of Bioinformatics and Computational Biology  
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Wavelet Technique and Function for Noise Removal from ECG Signal
International Journal of Bioinformatics and Computational Biology
Vol.3 , No. 1, Publication Date: Mar. 10, 2018, Page: 1-5
2752 Views Since March 10, 2018, 811 Downloads Since Mar. 10, 2018
 
 
Authors
 
[1]    

Hamidreza Shirzadfar, Department of Biomedical Engineering, Sheikhbahaee University, Esfahan, Iran.

[2]    

Mahtab Khanahmadi, Department of Biomedical Engineering, Sheikhbahaee University, Esfahan, Iran.

[3]    

Elaheh Mahlouji, Department of Biomedical Engineering, Olom Institute, Esfahan, Iran.

[4]    

Sepideh Mokhtari, Department of Biomedical Engineering, Olom Institute, Esfahan, Iran.

 
Abstract
 

Electrocardiogram (ECG) signal analysis is important for diagnosing cardiac disease, which is the leading cause of mortality in developed countries. Electrophysiological activity of the cardiac can be measured using an electrocardiograph device. Using the ECG signal, it can be determined which area of the cardiac has a disorder and lesion. Therefore, we first examine the effect of various diseases on the cardiac in general. Then we reconstruct the ECG heartbeat signal using MATLAB software. Always these types of signals are accompanied by noise that interfere with signal processing. To know the arrhythmias of the cardiac, parameters of the time of occurrence, amplitude, duration and rhythm of each signal wave, especially the P and QRS waves, are used. One of the algorithms for detecting arrhythmias in the cardiac is based on time-frequency analysis, which is used less than the partial signal features, such as the location of the start and end location. Wavelet conversion is a useful technique for time-signal analysis that can accurately predict the rapid changes in the signal. This ability can be effective in isolating the different parts of the ECG signal from strong noise. In this paper, we use the Wavelet functions to remove the ECG signal from the cardiac, which makes the amplitude of the peak of the signal (peak) close to the natural amplitude of the signal, because maintaining the main signal characteristics is necessary when noise is eliminated and filtered.


Keywords
 

Electrocardiogram Signal, Wavelet Function, Cardiac, Noise, MATLAB Software, ECG Viewer


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