Performance evaluation of the smartphone-based AI cough monitoring app - Hyfe Cough Tracker against solicited respiratory sounds [version 2; peer review: 1 approved, 2 approved with reservations]

Performance evaluation of the smartphone-based AI cough monitoring app - Hyfe Cough Tracker against solicited respiratory sounds [version 2; peer review: 1 approved, 2 approved with reservations]

Background: Emerging technologies to remotely monitor patients’ cough show promise for various clinical applications. Currently available cough detection systems all represent a trade-off between convenience and performance. The accuracy of such technologies is highly contingent on the clinical sett...

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Main Authors: Isabel Blavia, Juliane Chaccour, Eric M. Keen, Virginia Orrillo, Mindaugas Galvosas, Matthew Rudd, Juan C. Gabaldón-Figueira, Simon Grandjean Lapierre, Carlos Chaccour, Peter M. Small, Gerard Giménez
Format: Article
Language:English
Published: F1000 Research Ltd 2023-06-01
Series:F1000Research
Subjects:
cough
artificial intelligence
cough monitoring
cough counting
hyfe
hyfe cough tracker
eng
Online Access:https://f1000research.com/articles/11-730/v2
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