Performance of the short-time Fourier Transform and Wavelet Transform to phonocardiogram signal analysis

In this paper the shortages of using the Nan&ml Fourier Transform to analyze the Phonocardiogram (KG) signals is first pointed out and the need for time-varyingdigitat signal processing techniquesto conectly analyzeKG signals is discussed.‘I%vo timefrequency analysis techniques am presented in this pape~ namely, the Spectrogram and the Wavelet Transform. Furthermore, a comparisonstudy between these two techniques has shown the ~lution diffenmces between them. The Wavelet Transform is shown to be capable to detect the two components, aortic valve component A2 and pulmonary valve compment P2, of the second sound S2 of a normal PCG signal which am not detectable neitherusing the standardFourier‘fkansfonnmr the Spectrogram.In addition to thz the Wavelet ‘fYansfomtenables Physicians to obtain qualitative and quantitative measurements of time-fiwpency characteristicsof phonocadiogram (KG) signals.