TITLE:
Heart Diseases Diagnosis Using Intelligent Algorithm Based on PCG Signal Analysis
AUTHORS:
Mohammed Nabih-Ali, El-Sayed A. El-Dahshan, Ashraf S. Yahia
KEYWORDS:
Heart Diseases, Phonocardiogram (PCG), Feature Extraction, Discrete Wavelet Transform (DWT), Artificial Neural Network (ANN)
JOURNAL NAME:
Circuits and Systems,
Vol.8 No.7,
July
28,
2017
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%.