Acoustic surveillance of cough for detecting respiratory disease using artificial intelligence

Acoustic surveillance of cough for detecting respiratory disease using artificial intelligence

Research question Can smartphones be used to detect individual and population-level changes in cough frequency that correlate with the incidence of coronavirus disease 2019 (COVID-19) and other respiratory infections? Methods This was a prospective cohort study carried out in Pamplona (Spain) betwee...

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Bibliographic Details
Main Authors: Gabaldón-Figueira, J.C. (Juan C.), Keen, E. (Erik), Giménez, G. (Gérard), Orrillo, V. (Virginia), Blavia, I. (Isabel), Doré, D.H. (Dominique Hélène), Armendáriz, N. (Nuria), Chaccour, J. (Juliane), Fernandez-Montero, A. (Alejandro), Bartolome, J. (Javier), Forouhi, N.G. (Nita G.), Small, P. (Peter), Grandjean-Lapierre, S. (Simon), Chaccour, C.J. (Carlos J.)
Format: info:eu-repo/semantics/article
Language:English
Published: 2022
Subjects:
Respiratory infections
Respiratory disease
Artificial intelligence
Smartphones
Coronavirus
COVID-19
Cough frequency
Online Access:https://hdl.handle.net/10171/63903

Internet

https://hdl.handle.net/10171/63903

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