Diagnosis of COVID-19 by sound-based analysis of vocal recordings

Pedro Martins; Paulo Paixão; Iolanda Caires; Ana Maria Rodrigues; Pedro Matias; Hugo Gambôa; André V. Carreiro; Filipe Soares; Joana Sousa; Nuno Neuparth

doi:10.1016/j.pulmoe.2023.03.003

March 21, 2023PulmonologyOpen Access

Diagnosis of COVID-19 by sound-based analysis of vocal recordings

View Full Paper

Ask AI

Bookmark

Share

Key Points

Investigate whether sound-based acoustic analysis of vocal recordings can accurately diagnose COVID-19 infection.
Extracted sound features from patient vocal audio recordings to evaluate potential diagnostic signatures.
Applied acoustic analysis models to classify COVID-19 positive status directly from voice data.
Acoustic features in vocal recordings successfully distinguished individuals infected with COVID-19 from uninfected controls.
Sound-based voice patterns correlated with respiratory infection indicators associated with COVID-19.

Implication

Diagnostic evaluation reveals COVID-19 detection from voice audio recordings, highlighting noninvasive screening utility.

Abstract

The COVID-19 pandemic has had a signi ﬁ cant impact on the world, with widespread illness, death, and economic disruption. The pandemic constantly evolves as new virus variants emerge

Discussion

No takes yet. Share an insight, caveat, or question.

Cite This Study

Martins et al. (2023) studied this question.

synapsesocial.com/papers/6a93c8dc1c98c85e85563bfb https://doi.org/10.1016/j.pulmoe.2023.03.003

View Full Paper

Ask AI

Bookmark

Share

Diagnosis of COVID-19 by sound-based analysis of vocal recordings

Key Points

Implication

Abstract

Discussion

Cite This Study

Diagnosis of COVID-19 by sound-based analysis of vocal recordings

Key Points

Implication

Abstract

Discussion

Cite This Study

Keep reading

More related papers

More from Pulmonology

Keep reading

More related papers

More from Pulmonology