Heart diseases diagnosis using heart sounds

Author

Abdel-Alim, Onsy ; Hamdy, Nadder ; El-Hanjouri, Mohammed A.

Author_Institution

Alexandria Univ., Egypt

fYear

2002

fDate

2002

Firstpage

634

Lastpage

640

Abstract

Heart sound is one of the oldest means for assessing the function of heart valves. It helps, together with echocardiograms and electrocardiographs, to give a clear and proper diagnosis of several diseases. Artificial neural networks are used to classify several valve-related heart disorders. A library of heart sound files, recorded via the traditional stethoscope, are used to extract relevant features using several signal processing tools, e.g., discrete wavelet transform (DWT), fast Fourier transform (FFT) and linear predictive coding (LPC). The achieved recognition rates were around 95.7%.

Keywords

acoustic signal processing; cardiology; discrete wavelet transforms; diseases; fast Fourier transforms; feature extraction; feedforward neural nets; linear predictive coding; medical signal processing; patient diagnosis; pattern classification; signal classification; DWT; FFT; LPC; artificial neural networks; discrete wavelet transform; echocardiograms; electrocardiographs; fast Fourier transform; feature extraction; feedforward neural network; heart disease diagnosis; heart sounds; heart valves; linear predictive coding; signal processing tools; stethoscope; Artificial neural networks; Cardiac disease; Cardiovascular diseases; Discrete wavelet transforms; Fast Fourier transforms; Feature extraction; Heart valves; Libraries; Linear predictive coding; Stethoscope;

fLanguage

English

Publisher

ieee

Conference_Titel

Radio Science Conference, 2002. (NRSC 2002). Proceedings of the Nineteenth National

Print_ISBN

977-5031-72-9

Type

conf

DOI

10.1109/NRSC.2002.1022675

Filename

1022675