Application of wavelet and EMD-based denoising to phonocardiograms

Abstract

Wavelet-based (WT) denoising has been frequently used as simple and efficient method enabling high signal-to-noise ratio. Moreover, by using second generation WT and lifting scheme, even better performance has been obtained. Besides the WT, empirical mode decomposition (EMD) is another efficient noise reduction technique, which enables adaptive decomposition based only on signal characteristics. Both WT and EMD denoising concepts find place in pre-processing of phonocardiograms (PCGs). Although these techniques are very effective in denoising, their inappropriate use can cause unwanted signal distortion. In this paper, we analyzed both denoising techniques and tested their influence to the degradation of PCGs, particularly regarding to some diagnostically relevant cardiac events, such as the first and second heart sound (S1 and S2) and clicks. It was shown that the morphology of S1, S2, and even the existence of subtle features (clicks) within the PCG, depend on the denoising method. Results of evaluation tests indicate which combination of denoising algorithm is the best choice for PCG signal pre-processing.