Title :
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
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;
Conference_Titel :
Electrical Engineering and Software Applications (ICEESA), 2013 International Conference on
Conference_Location :
Hammamet
Print_ISBN :
978-1-4673-6302-0
DOI :
10.1109/ICEESA.2013.6578435
