Title: QRS detection combining entropic criterion and wavelet transform

Authors: Sawsan Rekik; Noureddine Ellouze

Addresses: Department of Electric Engineering, National School of Engineering of Tunis, BP 37, Belvedere, Tunis 1002, Tunisia ' Department of Electric Engineering, National School of Engineering of Tunis, BP 37, Belvedere, Tunis 1002, Tunisia

Abstract: In this paper, we introduce a new method for QRS wave's locations using the local entropic criterion applied to the signal split on different successive scales, based on the G. Gonon and M. Djafari approach, which offers a local estimator for segmenting of a signal based on entropic criteria, and on the work of Mallat and Hwang for singularity detection using local maxima of coefficients wavelet resulting from the decomposition of a signal. The R wave corresponds to two modulus maximum lines with opposite signs (min-max). We evaluated the algorithm on manually annotated databases QT.

Keywords: ECG signals; electrocardiograms; QRS complex; entropy; wavelet transform; modulus maxima; QRS wave location.

DOI: 10.1504/IJSISE.2016.078264

International Journal of Signal and Imaging Systems Engineering, 2016 Vol.9 No.4/5, pp.299 - 304

Received: 27 May 2015
Accepted: 06 Mar 2016
Published online: 10 Aug 2016 *

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