Title: Algorithm for the estimation of pulmonary hypertension by the heart sounds using a Hilbert transform

Authors: L. Hamza Cherif; S.M. Debbal

Addresses: Genie-Biomedical Laboratory (GBM), Department of Genie-Biomedical, Faculty of Technology, Abou Bekr Belkaid University, Tlemcen, Algeria ' Genie-Biomedical Laboratory (GBM), Department of Genie-Biomedical, Faculty of Technology, Abou Bekr Belkaid University, Tlemcen, Algeria

Abstract: In order to further highlight heart sound signals analysis, we developed an algorithm to isolate each of sounds S1 or S2 to provide an assessment of their duration, the interval between their internal components and an estimation of their spectral parameters for estimation of pulmonary artery systolic pressure, for possible discrimination depending on the severity of pathological cases for different heart sound signals.

Keywords: phonocardiograms; PCG signals; heart sounds; pulmonary hypertension; temporal energy; image segmentation; separation algorithm; Hilbert transform; signal analysis; pulmonary artery systolic pressure; fast Fourier transform; FFT.

DOI: 10.1504/IJBET.2016.076609

International Journal of Biomedical Engineering and Technology, 2016 Vol.20 No.4, pp.356 - 368

Received: 29 May 2015
Accepted: 23 Sep 2015
Published online: 17 May 2016 *

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