Cargando…
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) betw...
Autores principales: | Gabaldón-Figueira, Juan C., Keen, Eric, Giménez, Gerard, Orrillo, Virginia, Blavia, Isabel, Doré, Dominique Hélène, Armendáriz, Nuria, Chaccour, Juliane, Fernandez-Montero, Alejandro, Bartolomé, Javier, Umashankar, Nita, Small, Peter, Grandjean Lapierre, Simon, Chaccour, Carlos |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
European Respiratory Society
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9149391/ https://www.ncbi.nlm.nih.gov/pubmed/35651361 http://dx.doi.org/10.1183/23120541.00053-2022 |
Ejemplares similares
-
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) -
Longitudinal passive cough monitoring and its implications for detecting changes in clinical status
por: Gabaldón-Figueira, Juan C., et al.
Publicado: (2022) -
Performance evaluation of human cough annotators: optimal metrics and sex differences
por: Sanchez-Olivieri, Isabel, et al.
Publicado: (2023) -
Digital cough monitoring – A potential predictive acoustic biomarker of clinical outcomes in hospitalized COVID-19 patients
por: Altshuler, Ellery, et al.
Publicado: (2023) -
Human Botfly Infestation in an Amerindian Girl in Southern Venezuela
por: Gabaldon-Figueira, Juan C., et al.
Publicado: (2021)