A novel deep learning model to detect COVID-19 based on wavelet features extracted from Mel-scale spectrogram of patients’ cough and breathing sounds

The goal of this paper is to classify the various cough and breath sounds of COVID-19 artefacts in the signals from dynamic real-life environments. The main reason for choosing cough and breath sounds than other common symptoms to detect COVID-19 patients from the comfort of their homes, so that the...

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Bibliografiske detaljer

Principais autores:	Mohammed Aly, Nouf Saeed Alotaibi
Format:	Artigo
Sprog:	Inglês
Udgivet:	Elsevier 2022-01-01
Serier:	Informatics in Medicine Unlocked
Fag:	Covid-19 Breathing and coughing sound Deep learning Mel-scale spectrogram Sound classification
Online adgang:	http://www.sciencedirect.com/science/article/pii/S2352914822001897
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