Cargando…
Digital cough monitoring – A potential predictive acoustic biomarker of clinical outcomes in hospitalized COVID-19 patients
PURPOSE: Recent developments in the field of artificial intelligence and acoustics have made it possible to objectively monitor cough in clinical and ambulatory settings. We hypothesized that time patterns of objectively measured cough in COVID-19 patients could predict clinical prognosis and help r...
Autores principales: | Altshuler, Ellery, Tannir, Bouchra, Jolicoeur, Gisèle, Rudd, Matthew, Saleem, Cyrus, Cherabuddi, Kartikeya, Doré, Dominique Hélène, Nagarsheth, Parav, Brew, Joe, Small, Peter M., Glenn Morris, J., Grandjean Lapierre, Simon |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Inc.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9827741/ https://www.ncbi.nlm.nih.gov/pubmed/36632859 http://dx.doi.org/10.1016/j.jbi.2023.104283 |
Ejemplares similares
-
Acoustic surveillance of cough for detecting respiratory disease using artificial intelligence
por: Gabaldón-Figueira, Juan C., et al.
Publicado: (2022) -
High-throughput digital cough recording on a university campus: A
SARS-CoV-2-negative curated open database and operational template for acoustic screening
of respiratory diseases
por: Keen, Eric M., et al.
Publicado: (2022) -
Longitudinal passive cough monitoring and its implications for detecting changes in clinical status
por: Gabaldón-Figueira, Juan C., et al.
Publicado: (2022) -
Digital acoustic surveillance for early detection of respiratory disease outbreaks in Spain: a protocol for an observational study
por: Gabaldon-Figueira, Juan Carlos, et al.
Publicado: (2021) -
Performance evaluation of human cough annotators: optimal metrics and sex differences
por: Sanchez-Olivieri, Isabel, et al.
Publicado: (2023)