Identification of Aortic Stenosis and Mitral Regurgitation By Heart Sound Segmentation On Time-Frequency Domain

Abstract

Heart sounds are multicomponent non-stationary signals which characterize the normal phonocardiogram signals (PCGs) and more significantly the pathological PCGs. The time-frequency distributions (TFDs) are a useful tool for local analysis of non-stationary and fast transient wideband signals especially for (PCG) signals. This tool provides a noninvasive probe to detect and to characterize the presence of abnormal murmur in the diagnosis of heart disease. In this paper, we introduce a method for the segmentation and the analysis the PCG signal for detecting the murmur based on time frequency analysis in conjunction with a threshold based on Renyi entropy. The method was applied to differents sets of PCG's: Early Aortic Stenosis (EAS), Late systolic Aortic Stenosis (LAS), and finely the Mitral Regurgitation (MR.). The analysis has been conducted on data which have been collected from [1] . Test performed on these real biomedical data proves the ability of the method for segmentation between the main components of the PCG signal and the pathological murmurs. Also, the method permits to elucidate and extract useful features for diagnosis and pathological recognition.