DocumentCode :
256329
Title :
ElectroCardioGram signal denoising using Discrete Wavelet Transform
Author :
El hanine, Mustapha ; Abdelmounim, Elhassane ; Haddadi, Rachid ; Belaguid, Abdelaziz
Author_Institution :
LASTI, Univ. of Hassan I, Settat, Morocco
fYear :
2014
fDate :
14-16 April 2014
Firstpage :
1065
Lastpage :
1070
Abstract :
The most common noises in ElectroCardioGram (ECG) signal processing are baseline wandering and the 50 or 60 Hz power line interferences. In order to remove these two major source of noises, we have used the recent powerful Discrete Wavelet Transform (DWT) signal processing in ECG signals which are obtained from MIT-BIH Arrhythmia Database. The results indicate that DWT is a good method for filtering noises without changing the morphology of ECG, and can be applied to all types of ECG signals, whether normal or presenting arrhythmias.
Keywords :
discrete wavelet transforms; electrocardiography; filtering theory; interference (signal); medical signal processing; signal denoising; DWT signal processing; ECG signal processing; MIT-BIH arrhythmia database; discrete wavelet transform; electrocardiogram signal denoising; frequency 50 Hz; frequency 60 Hz; power line interferences; Discrete wavelet transforms; Electrocardiography; ISO standards; Myocardium; Noise reduction; Physiology; Telemedicine; 60 Hz PLI; Baseline Wander; DWT; ECG; Signal Processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia Computing and Systems (ICMCS), 2014 International Conference on
Conference_Location :
Marrakech
Print_ISBN :
978-1-4799-3823-0
Type :
conf
DOI :
10.1109/ICMCS.2014.6911270
Filename :
6911270
Link To Document :
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