Current Directions in Biomedical Engineering (Sep 2020)

Automatic Detection and Classification of Cough Events Based on Deep Learning

  • Hossein Tabatabaei Seyed Amir,
  • Augustinov Gabriela,
  • Gross Volker,
  • Sohrabi Keywan,
  • Fischer Patrick,
  • Koehler Ulrich

DOI
https://doi.org/10.1515/cdbme-2020-3083
Journal volume & issue
Vol. 6, no. 3
pp. 322 – 325

Abstract

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In this paper, a deep learning approach for classification of cough sound segments is presented. The architecture of the network is based on a pre-trained network and the spectrogram images of three recording channels have been extracted for the sake of training the network. The classification accuracy based on three recording channels is 92% for a binary classification model and the network converges fast. Two classification models based on binary and multi-class problems are proposed. Relevant classification parameters including the Receiver Operating Characteristic (ROC) curve are reported.

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