PHONOCARDIOGRAM SIGNAL ANALYSIS FOR MURMUR DIAGNOSING USING SHANNON ENERGY ENVELOP AND SEQUENCED DWT DECOMPOSITION

This paper presents a proposed procedure to analyze the PCG (Phono-CardioGram) signal recorded by an electronic stethoscope. The procedure concludes heart sound cycle segmentation followed by a detecting step to categorize the normal cases from that which are characterized as an abnormal one (mainly Mitral Regurgitation MR and Mitral Stenosis MS). This is achieving using Shannon energy envelop. Furthermore, a diagnosing step is added to recognize the MR and MS cases from other abnormal cases using FFT (Fast Fourier Transform) applied to the segmented murmur period. The MR and MS cases were selected since it is the most popular abnormal heart cases recorded in the Middle East countries. The obtained results pleased and agreed many cardiac specialists. The MATLAB is the main software environment used in this work.