Title :
Map Filtering in the Diversity-Enhanced Wavelet Domain Applied to Ecg Signals Denoising
Author :
Oltean, Marius ; Boucher, Jean-Marc ; Isar, Alexandru
Author_Institution :
Univ. Politehnica Timisoara
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
Keywords :
electrocardiography; filtering theory; maximum likelihood estimation; medical signal processing; signal denoising; wavelet transforms; ECG signals denoising; MAP filtering; SNR; automatic signal segmentation procedures; diversity-enhanced wavelet domain; maximum a-posteriori filtering; signal-to-noise ratio; statistical properties; wavelet coefficients; Electrocardiography; Filtering; Noise reduction; Signal denoising; Signal processing; Signal to noise ratio; Wavelet coefficients; Wavelet domain; Wavelet transforms; Wiener filter;
Conference_Titel :
Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on
Conference_Location :
Toulouse
Print_ISBN :
1-4244-0469-X
DOI :
10.1109/ICASSP.2006.1660563
