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Salem, A.-B.M., Revett, K. and El-Dahshan, E.-S.A. (2009) Machine learning in electrocardiogram diagnosis. International Multiconference on Computer Science and Information Technology. IEEE, 429-433.
https://doi.org/10.1109/imcsit.2009.5352689

has been cited by the following article:

• 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%.