Generic placeholder image

Recent Patents on Computer Science

Editor-in-Chief

ISSN (Print): 2213-2759
ISSN (Online): 1874-4796

Features for Heartbeat Sound Signal Normal and Pathological

Author(s): Debbal S.M. Amin and Bereksi-Reguig Fethi

Volume 1, Issue 1, 2008

Page: [1 - 8] Pages: 8

DOI: 10.2174/2213275910801010001

Open Access Journals Promotions 2
Abstract

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


© 2024 Bentham Science Publishers | Privacy Policy