article · 2021

A Deep Convolutional Neural Network Classification of Heart Sounds using Fractional Fourier Transform

Ebrahim A. Nehary, Zaid Abduh, Sreeraman Rajan

Cited by 7Abstract and details only

Abstract

A computer-aided auscultation system can help in the initial diagnosis of heart diseases. In this work, we propose a binary classification system that uses fractional Fourier transform based Mel-frequency spectral coefficients (FrFT-MFSC) and a 1D deep convolutional neural network. FrFt-MFSC is used to convert the phonocardiogram (PCG) into heat maps using four fractional orders (0.9, 0.95, 1.0, 1.10). We verify the performance of our proposed system using a publicly available data set that was provided by 2016 Physionet/Computing in Cardiology Challenge. Ten-fold cross-validation and holdout test methods are used to evaluate the performance of the system. Classifier performance for various features using different fractional orders is also studied. The 10-fold cross-validation provides a good performance and balanced specificity and sensitivity of 0.97 and 0.95 respectively despite using imbalance data set. The proposed system performance is superior to all the current state-of-the art binary human PCG classification systems.

Cite this paper

APA 7

Nehary, E. A., Abduh, Z., & Rajan, S. (2021). A Deep Convolutional Neural Network Classification of Heart Sounds using Fractional Fourier Transform. https://doi.org/10.1109/i2mtc50364.2021.9459909

MLA 9

Nehary, Ebrahim A., et al. “A Deep Convolutional Neural Network Classification of Heart Sounds using Fractional Fourier Transform.” 2021, pp. 1–5, https://doi.org/10.1109/i2mtc50364.2021.9459909.

Chicago

Nehary, Ebrahim A., Zaid Abduh, and Sreeraman Rajan. 2021. “A Deep Convolutional Neural Network Classification of Heart Sounds using Fractional Fourier Transform.” https://doi.org/10.1109/i2mtc50364.2021.9459909.

Harvard

Nehary, E.A., Abduh, Z. and Rajan, S. (2021) ‘A Deep Convolutional Neural Network Classification of Heart Sounds using Fractional Fourier Transform’. Available at: https://doi.org/10.1109/i2mtc50364.2021.9459909.

BibTeX

@article{nehary2021deep,
  title = {{A Deep Convolutional Neural Network Classification of Heart Sounds using Fractional Fourier Transform}},
  author = {Nehary, Ebrahim A. and Abduh, Zaid and Rajan, Sreeraman},
  pages = {1--5},
  year = {2021},
  doi = {10.1109/i2mtc50364.2021.9459909}
}

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