Circuits and Systems, 2017, 8, 184-190 http://www.scirp.org/journal/cs ISSN Online: 2153-1293 ISSN Print: 2153-1285 DOI: 10.4236/cs.2017.87012 Jul. 28, 2017 184 Circuits and Systems Heart Diseases Diagnosis Using Intelligent Algorithm Based on PCG Signal Analysis Mohammed Nabih-Ali 1 , El-Sayed A. El-Dahshan 1,2 , Ashraf S. Yahia 2 1 Faculty of Computer and Information Technology, Egyptian E-Learning University (EELU), Giza, Egypt 2 Physics Department, Faculty of Sciences, Ain Shams University, Cairo, Egypt Abstract 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) has 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) 1. Introduction Cardiovascular disorders (CVDs) or Heart diseases are broad terms that can af- fect both vasculature and the heart muscle itself [1]. CVDs remains the first cause of mortality globally, responsible for 17.5 million people dying annually [2]. More than 75% of CVDs deaths occur in middle and low income countries [2]. The heart sounds are still the primary tool for screening and diagnosing many pathological conditions of the human heart. Using auscultation technique which was invented and defined by Laennec for heart sound analysis is still insufficient. The reason of insufficiency is reported by Avendano-Valencia et al., [3] [4] due to the human ear limitation and subjective of the analyst and the discriminatory skills that can take many years to acquire. Phonocardiography (PCG) is one of non-invasive techniques to diagnose How to cite this paper: Nabih-Ali, M., El-Dahshan, E.-S.A. and Yahia, A.S. (2017) Heart Diseases Diagnosis Using Intelligent Algorithm Based on PCG Signal Analysis. Circuits and Systems, 8, 184-190. https://doi.org/10.4236/cs.2017.87012 Received: January 12, 2017 Accepted: July 25, 2017 Published: July 28, 2017 Copyright © 2017 by authors and Scientific Research Publishing Inc. This work is licensed under the Creative Commons Attribution International License (CC BY 4.0). http://creativecommons.org/licenses/by/4.0/ Open Access