Automatic Detection and Classification of Cough Events Based on Deep Learning

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 accur...

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Autores principales:	Hossein Tabatabaei Seyed Amir, Augustinov Gabriela, Gross Volker, Sohrabi Keywan, Fischer Patrick, Koehler Ulrich
Formato:	article
Lenguaje:	EN
Publicado:	De Gruyter 2020
Materias:	deep learning convolutional neural networks respiratory sounds classification spectrogram Medicine R
Acceso en línea:	https://doaj.org/article/2be14853ee9d497e84059e0f989aa396
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spelling	oai:doaj.org-article:2be14853ee9d497e84059e0f989aa3962021-12-05T14:10:42ZAutomatic Detection and Classification of Cough Events Based on Deep Learning2364-550410.1515/cdbme-2020-3083https://doaj.org/article/2be14853ee9d497e84059e0f989aa3962020-09-01T00:00:00Zhttps://doi.org/10.1515/cdbme-2020-3083https://doaj.org/toc/2364-5504In 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.Hossein Tabatabaei Seyed AmirAugustinov GabrielaGross VolkerSohrabi KeywanFischer PatrickKoehler UlrichDe Gruyterarticledeep learningconvolutional neural networksrespiratory soundsclassificationspectrogramMedicineRENCurrent Directions in Biomedical Engineering, Vol 6, Iss 3, Pp 322-325 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	deep learning convolutional neural networks respiratory sounds classification spectrogram Medicine R
spellingShingle	deep learning convolutional neural networks respiratory sounds classification spectrogram Medicine R Hossein Tabatabaei Seyed Amir Augustinov Gabriela Gross Volker Sohrabi Keywan Fischer Patrick Koehler Ulrich Automatic Detection and Classification of Cough Events Based on Deep Learning
description	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.
format	article
author	Hossein Tabatabaei Seyed Amir Augustinov Gabriela Gross Volker Sohrabi Keywan Fischer Patrick Koehler Ulrich
author_facet	Hossein Tabatabaei Seyed Amir Augustinov Gabriela Gross Volker Sohrabi Keywan Fischer Patrick Koehler Ulrich
author_sort	Hossein Tabatabaei Seyed Amir
title	Automatic Detection and Classification of Cough Events Based on Deep Learning
title_short	Automatic Detection and Classification of Cough Events Based on Deep Learning
title_full	Automatic Detection and Classification of Cough Events Based on Deep Learning
title_fullStr	Automatic Detection and Classification of Cough Events Based on Deep Learning
title_full_unstemmed	Automatic Detection and Classification of Cough Events Based on Deep Learning
title_sort	automatic detection and classification of cough events based on deep learning
publisher	De Gruyter
publishDate	2020
url	https://doaj.org/article/2be14853ee9d497e84059e0f989aa396
work_keys_str_mv	AT hosseintabatabaeiseyedamir automaticdetectionandclassificationofcougheventsbasedondeeplearning AT augustinovgabriela automaticdetectionandclassificationofcougheventsbasedondeeplearning AT grossvolker automaticdetectionandclassificationofcougheventsbasedondeeplearning AT sohrabikeywan automaticdetectionandclassificationofcougheventsbasedondeeplearning AT fischerpatrick automaticdetectionandclassificationofcougheventsbasedondeeplearning AT koehlerulrich automaticdetectionandclassificationofcougheventsbasedondeeplearning
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Automatic Detection and Classification of Cough Events Based on Deep Learning

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