Artificial Intelligence for Detecting COVID-19 With the Aid of Human Cough, Breathing and Speech Signals: Scoping Review

Artificial Intelligence for Detecting COVID-19 With the Aid of Human Cough, Breathing and Speech Signals: Scoping Review

<italic>Goal:</italic> Official tests for COVID-19 are time consuming, costly, can produce high false negatives, use up vital chemicals and may violate social distancing laws. Therefore, a fast and reliable additional solution using recordings of cough, breathing and speech data for prel...

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Bibliographic Details
Main Authors: Mouzzam Husain, Andrew Simpkin, Claire Gibbons, Tanya Talkar, Daniel Low, Paolo Bonato, Satrajit S. Ghosh, Thomas Quatieri, Derek T. O'Keeffe
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Open Journal of Engineering in Medicine and Biology
Subjects:
COVID-19
artificial intelligence
machine learning
cough
speech signals
acoustics
Online Access:https://ieeexplore.ieee.org/document/9713955/
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https://ieeexplore.ieee.org/document/9713955/

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