DocumentCode
1946801
Title
Wavelet analysis and classification of Mitral regurgitation and normal heart sounds based on artificial neural networks
Author
Zin, Zamri Mohd ; Hussain-Salleh, Sheikh ; Sulaiman, M. Daud
Author_Institution
Dept. of Microelectron. & Comput. Eng., Universiti Teknologi Malaysia, Kuala Lumpur, Malaysia
Volume
2
fYear
2003
fDate
1-4 July 2003
Firstpage
619
Abstract
The application of wavelet transform for the heart sounds signal is described. The performance of integral wavelet transform and discrete wavelet transform for heart sounds analysis is discussed. The features from heart sounds were obtained from integral wavelet transform and used to train and test the artificial neural networks (ANN). The ANN was trained by 125 training data and tested with 52 data. The classification accuracy is 94.2%.
Keywords
audio signal processing; cardiology; medical signal processing; neural nets; wavelet transforms; Mitral regurgitation; artificial neural networks; discrete wavelet transform; heart sounds signal; integral wavelet transform; wavelet classification; wavelet transform; Artificial neural networks; Cardiac disease; Discrete wavelet transforms; Frequency; Heart; Signal analysis; Signal resolution; Stethoscope; Wavelet analysis; Wavelet transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing and Its Applications, 2003. Proceedings. Seventh International Symposium on
Print_ISBN
0-7803-7946-2
Type
conf
DOI
10.1109/ISSPA.2003.1224955
Filename
1224955
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