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Wavelet Analysis And Classification Of Mitral Regurgitation And Normal Heart Sounds Based On Artificial Neural Networks

Mohd Zin, Zamri and Salleh, Sheikh Hussain and Sulaiman, M.Daud (2003) Wavelet Analysis And Classification Of Mitral Regurgitation And Normal Heart Sounds Based On Artificial Neural Networks. Signal Processing and Its Applications, 2003. Proceedings. Seventh International Symposium on . pp. 619-620.

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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%.

Item Type:Article
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:Electrical Engineering
ID Code:2001
Deposited By: Dr Zaharuddin Mohamed
Deposited On:20 Mar 2007 07:45
Last Modified:01 Jun 2010 03:00

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