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

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

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...

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Bibliographic Details
Main Authors: Mohd Zin, Zamri (Author), Salleh, Sheikh Hussain (Author), Sulaiman, M.Daud (Author)
Format: Article
Language:English
Published: 2003.
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:Get fulltext
Description
Summary: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%.

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