Heart Diseases Diagnosis Using Intelligent Algorithm Based on PCG Signal Analysis  

作　　者：Mohammed Nabih-Ali El-Sayed A. El-Dahshan Ashraf S. Yahia 

机构地区：[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

出　　处：《Circuits and Systems》2017年第7期184-190,共7页电路与系统（英文）

摘　　要：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%.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%.

关 键 词：HEART DISEASES PHONOCARDIOGRAM (PCG) Feature Extraction Discrete Wavelet Transform (DWT) Artificial Neural Network (ANN) 

分 类 号：TP39[自动化与计算机技术—计算机应用技术]