Computer-based analysis of cardiac sounds based on multiscale techniques

In this paper special attention is given to domain selection and local and global signal examination which is important for signal processing, especially in cardiosignals where physiological information is a priority. In the case of phonocardiographic signals, spectral components are analyzed using joint time-frequency and multifractal representation, as well as directly in time domain using second generation wavelets and normalized averaged Shannon energy. This paper describes novel techniques for computer-based analysis of heart sounds without reference electrocardiograms. Experimental performance results of multiscale based model show excellent results in fundamental heart sound detection and abnormality indication via singularity reoccurrence detection with preserving relevant singularities.