Title: Discrimination of signals phonocardiograms by using SNR report

Authors: M. Mostafi; Lotfi Hamza Cherif; S.M. Debbal

Addresses: Genie-Biomedical Laboratory, Department of Electronics, Faculty of Technology, University of Aboubekr Belkaid, BP 119, Tlemcen, 13000, Algeria ' Genie-Biomedical Laboratory, Department of Electronics, Faculty of Technology, University of Aboubekr Belkaid, BP 119, Tlemcen, 13000, Algeria ' Genie-Biomedical Laboratory, Department of Electronics, Faculty of Technology, University of Aboubekr Belkaid, BP 119, Tlemcen, 13000, Algeria

Abstract: The phonocardiographic PCG signal presents the acoustic recording of heart sounds; witch may reveal significant information that the human ear cannot. The current study develops methods for classification of signals using wavelet transform PCG; in particular, the discrete wavelet transforms (DWTs). In every case of PCG signal, different degree of noise will be gradually added and ratio signal-to-noise ratio (SNR) is calculated. The intensity of the SNR is the basic parameter used in the classification of signals PCG.

Keywords: phonocardiogram; discrete wavelet transforms; DWT; sound; energy ratio; ER; signal-to-noise ratio; SNR.

DOI: 10.1504/IJMEI.2019.104982

International Journal of Medical Engineering and Informatics, 2019 Vol.11 No.4, pp.386 - 403

Received: 13 Jul 2017
Accepted: 27 Mar 2018
Published online: 10 Feb 2020 *

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