Wavelet analysis and classification of mitral regurgitation and normal heart sounds based on artificial neural networks

被引：4
|
作者：
Zin, ZM [1 ]
Hussain-Salleh, S [1 ]
Sulaiman, MD [1 ]
机构：
[1] Univ Teknol Malaysia, Fac Elect Engn, Digita Signal Proc Lab, Dept Microelect & Coomp Engn, Skudai Johor 81310, Malaysia
来源：
SEVENTH INTERNATIONAL SYMPOSIUM ON SIGNAL PROCESSING AND ITS APPLICATIONS, VOL 2, PROCEEDINGS | 2003年
关键词：
D O I：
10.1109/ISSPA.2003.1224955
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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%.
引用
收藏
页码：619 / 620
页数：2
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