Features for Heartbeat Sound Signal Normal and Pathological
Debbal S.M. Amin and Bereksi-Reguig Fethi
Affiliation: Geni -Biomedical Laboratory (GBM), Department of electronic, Faculty of science engineering,university Aboubekr Belkaid Tlemcen, BP 119, Tlemcen, Algeria.
This paper is concerned with a synthesis study of the fast Fourier transform (FFT) and the wavelet transform in analysing the phonocardiogram signal (PCG). It bas been shown that the wavelet transform provides enough features of the PCG signals that will help clinics to obtain qualitative and quantitative measurements of the time-frequency PCG signal characteristics and consequently aid in diagnosis. Similarly, it bas been shown that the frequency content of such a signal can be determined by the FFT without difficulties. Abnormal heartbeat sounds may contain, in addition to the first and second sounds, S1 and S2, murmurs and aberrations caused by different pathological conditions of the cardiovascular system.
Keywords: classification, error of reconstruction, time delay, component localisation, time-frequency representation, spectral analysis, Heart auscultation
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