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