PDFAbstract: This paper presents an intelligent algorithm for heart diseases diagnosis using phonocardiogram (PCG). The proposed technique consists of four stages; data acquisition, pre-processing, feature extraction and classification. PASCAL heart sound database is used in this research. The second stage concerns with removing noise and artifacts from the PCG signals. Feature extraction stage is carried out using discrete wavelet transform (DWT). Finally, artificial neural network (ANN) have been used for classification stage with an overall accuracy 97%.
Keywords: Heart Diseases – Phonocardiogram (PCG) – Feature Extraction – Discrete Wavelet Transform (DWT) – Artificial Neural Network (ANN)
Cite this paper
Mohammed Nabih-Ali, EL-Sayed A. El-Dahshan, Ashraf S. Yahia. (2017) Heart Diseases diagnosis using intelligent algorithm based on PCG signal analysis. International Journal of Biology and Biomedicine, 2 , 81-85
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