Heart Diseases Diagnosis Using Intelligent Algorithm Based on PCG Signal Analysis

• 作者: Ashraf S. Yahia El-Sayed A. El-Dahshan Mohammed Nabih-Ali
• 来源期刊: 电路与系统(英文)
• 学科: 工学
• 关键词: Heart Diseases PHONOCARDIOGRAM (PCG) Feature Extraction Discrete WAVELET TRANSFORM (DWT) Artificial Neural Network (ANN)
• 年，卷（期）: 2017,（7）
• 页码范围: 184-190
• 页数: 7页
• 分类号: TP39

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%.