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Technical Program

Paper Detail

Paper:	BIO-P4.11
Session:	Biomedical Signal Processing II
Time:	Friday, May 19, 14:00 - 16:00
Presentation:	Poster
Topic:	Bio Imaging and Signal Processing: Biomedical signal processing
Title:	MAP Filtering in the Diversity-Enhanced Wavelet Domain Applied to ECG Signals Denoising
Authors:	Marius Oltean, "Politehnica" University of Timisoara, Romania; Jean-Marc Boucher, GET / ENST Bretagne, France; Alexandru Isar, "Politehnica" University of Timisoara, Romania
Abstract:	An effective denoising method for ECG signals affected by real sources of noise is proposed in this paper. The method is based on a maximum a-posteriori (MAP) filtering in the diversity-enhanced wavelet domain, under realistic a-priori assumptions regarding the statistical properties of the wavelet coefficients of the ECG signal. In order to evaluate the performance of the method, we studied the signal-to-noise ratio (SNR) improvement factor and the degree of the denoising influence on the automatic signal segmentation procedures. The method was tested in both synthetic and real noise conditions and it showed very promising results.