Abstract
A spectral analysis technique using selective linear prediction (SLP) coding based on an all pole model is applied to determine the spectral distribution of second heart sounds (SII) in 17 normal children. The SLP spectra are compared with the conventional spectra obtained using the fast Fourier transform (FFT) technique. It is observed that the SLP technique produces spectra with better definition of spectral peaks. Average spectral energy distribution of second heart sound in normal children is presented. Spectral energies in different frequency bandwidths are correlated with the aortic valve size parameter obtained echocardiographically. It is found that the best correlation is obtained in the 120–140 Hz bandwidth. A possible interpretation in terms of documented second heart sound determinants is also discussed.
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