R-wave detection using EMD and bionic wavelet transform

Author

Khiari, Bochra ; Ben Braiek, Ezzedine ; Jemni, Mohamed

Author_Institution

Lab. de Rech. en Technol. de l´Infortmation et de la Commun. et Genie Electr., Ecole Super. des Sci. et Tech. de Tunis, Tunis, Tunisia

fYear

2013

fDate

21-23 March 2013

Firstpage

1

Lastpage

5

Abstract

The most striking waveform in an electrocardiogram (ECG) is the QRS complex. The detection of the R wave is the first step in any automatic analysis of the ECG. In this paper, we propose a new method based on a preprocessing of ECG signal in order to restore and enhance it properly. For this purpose, we use the intrinsic components issues from the empirical modal decomposition. To emphasize and extract R waves, we proceed to a decomposition of ECG signal by bionic wavelet transform. Finally thresholding time/amplitude is applied to determine the position of the R-wave. The algorithm tests have been carried out on the signals QT database.

Keywords

electrocardiography; medical signal processing; wavelet transforms; ECG signal preprocessing; EMD; QT database; R-wave detection; algorithm testing; automatic analysis; bionic wavelet transform; electrocardiogram; empirical modal decomposition; intrinsic components issues; time-amplitude thresholding; waveform; Continuous wavelet transforms; Electrocardiography; Empirical mode decomposition; Filtering; Signal processing algorithms; Bionic Wavelet Transform; Electrocardiogram (ECG); Empirical Mode Decomposition (EMD); Matlab GUI; QT Base;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical Engineering and Software Applications (ICEESA), 2013 International Conference on

Conference_Location

Hammamet

Print_ISBN

978-1-4673-6302-0

Type

conf

DOI

10.1109/ICEESA.2013.6578435

Filename

6578435