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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
2003
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| Subjects: | |
| Online Access: | http://eprints.utm.my/2001/1/article178.pdf |
| 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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