Heart Diseases Diagnosis Using Intelligent Algorithm Based on PCG Signal Analysis - Circuits and Systems

CS > Vol.8 No.7, July 2017

Circuits and Systems

Volume 8, Issue 7 (July 2017)

ISSN Print: 2153-1285 ISSN Online: 2153-1293

Google-based Impact Factor: 0.48 Citations

Heart Diseases Diagnosis Using Intelligent Algorithm Based on PCG Signal Analysis ()

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Download as PDF (Size: 2117KB) PP. 184-190

DOI: 10.4236/cs.2017.87012 1,985 Downloads 4,474 Views Citations

Author(s)

Mohammed Nabih-Ali¹, El-Sayed A. El-Dahshan^1,2, Ashraf S. Yahia²

Affiliation(s)

¹Faculty of Computer and Information Technology, Egyptian E-Learning University (EELU), Giza, Egypt.
²Physics 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)

Share and Cite:

Nabih-Ali, M. , El-Dahshan, E. and Yahia, A. (2017) Heart Diseases Diagnosis Using Intelligent Algorithm Based on PCG Signal Analysis. Circuits and Systems, 8, 184-190. doi: 10.4236/cs.2017.87012.

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