Computation of Biological Murmurs in Phonocardiogram Signals using Fast Fourier & Discrete Wavelet Transform

The Phonocardiogram (PCG) is one of the method through which we may diagnose the cardiac pathology. The PCG signal analysis would give major information about heart ailment. This report will discuss the development of a method by which we may analyze the heart sounds for three cycles and the impact of murmur on the diagnosis. The heart sounds are analyzed using the Fast Fourier Transform (FFT), Power Spectral Density (PSD) and Discrete Wavelet Transform (DWT). The signals values were evaluated through an algorithm by plotting the amplitude and power density on time and frequency fluctuating scale separately and then DWT technique is used to derive the Shannon entropy of the normal and the defective signal and the occurrence of the features at their respective frequencies were noted.