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Proceedings Paper

Empirical modal decomposition applied to cardiac signals analysis
Author(s): O. Beya; B. Jalil; E. Fauvet; O. Laligant
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Paper Abstract

In this article, we present the method of empirical modal decomposition (EMD) applied to the electrocardiograms and phonocardiograms signals analysis and denoising. The objective of this work is to detect automatically cardiac anomalies of a patient. As these anomalies are localized in time, therefore the localization of all the events should be preserved precisely. The methods based on the Fourier Transform (TFD) lose the localization property [13] and in the case of Wavelet Transform (WT) which makes possible to overcome the problem of localization, but the interpretation remains still difficult to characterize the signal precisely. In this work we propose to apply the EMD (Empirical Modal Decomposition) which have very significant properties on pseudo periodic signals. The second section describes the algorithm of EMD. In the third part we present the result obtained on Phonocardiograms (PCG) and on Electrocardiograms (ECG) test signals. The analysis and the interpretation of these signals are given in this same section. Finally, we introduce an adaptation of the EMD algorithm which seems to be very efficient for denoising.

Paper Details

Date Published: 4 February 2010
PDF: 11 pages
Proc. SPIE 7535, Wavelet Applications in Industrial Processing VII, 75350B (4 February 2010); doi: 10.1117/12.840667
Show Author Affiliations
O. Beya, LE2I, CNRS, Univ. de Bourgogne (France)
B. Jalil, LE2I, CNRS, Univ. de Bourgogne (France)
E. Fauvet, LE2I, CNRS, Univ. de Bourgogne (France)
O. Laligant, LE2I, CNRS, Univ. de Bourgogne (France)

Published in SPIE Proceedings Vol. 7535:
Wavelet Applications in Industrial Processing VII
Frédéric Truchetet; Olivier Laligant, Editor(s)

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