Title: Time-frequency analysis of a noised ECG signals using empirical mode decomposition and Choi-Williams techniques

Authors: Azzedine Dliou; Rachid Latif; Mostafa Laaboubi; Fadel Mrabih Rabou Maoulainine; Samir Elouaham

Addresses: ESSI-ENSA, Ecole Nationale des Sciences Appliquées, Université Ibn Zohr, BP. 33/S, Agadir, Maroc, Morocco ' ESSI-ENSA, Ecole Nationale des Sciences Appliquées, Université Ibn Zohr, BP. 33/S, Agadir, Maroc, Morocco ' ESSI-ENSA, Ecole Nationale des Sciences Appliquées, Université Ibn Zohr, BP. 33/S, Agadir, Maroc, Morocco; EST, Ecole des Supérieure et des Technologies, Université Ibn Zohr, BP. 1317 poste principale Guelmim, Maroc, Morocco ' Equipe l'enfant, la santé et le développement, Faculté de Médecine, Université Cadi Ayyad, BP. 7010 Sidi Abbad 40000 – Marrakech, Maroc, Morocco ' ESSI-ENSA, Ecole Nationale des Sciences Appliquées, Université Ibn Zohr, BP. 33/S, Agadir, Maroc, Morocco

Abstract: The electrocardiogram (ECG) is an important measurement to evaluate the safety of the cardiovascular system. The ECG analysis is usually faced with two major problems, the presence of the noise and the non-stationary multicomponent nature of the electrocardiogram (ECG) signal. These problems can influence in the analysis of such biomedical signal. This paper proposes a combination of two methods, the empirical mode decomposition (EMD) and the Choi-Williams time-frequency techniques, for analysing a noised ECG signal to diagnose cardiac arrhythmia. The work is divided into two steps; the first one consists in applying the EMD method to a noised abnormal ECG signal to filter the noise. The second one presents the analysis of the resulting signal by using the Choi-Williams time-frequency technique to extract different components, especially the QRS complexes, in order to detect the anomaly present in the signal. The obtained results illustrate the effectiveness of the combination of the EMD method and the Choi-Williams time-frequency technique in analysing the noised electrocardiogram signal.

Keywords: electrocardiograms; ECG signals; supraventricular arrhythmia; EMD technique; Choi-Williams technique; QRS complex; time-frequency analysis; noised signals; empirical mode decomposition; cardiac arrhythmia.

DOI: 10.1504/IJSCC.2013.058177

International Journal of Systems, Control and Communications, 2013 Vol.5 No.3/4, pp.231 - 245

Published online: 12 Jul 2014 *

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