Cargando…
A novel infrasound and audible machine-learning approach to the diagnosis of COVID-19
BACKGROUND: The coronavirus disease 2019 (COVID-19) outbreak has rapidly spread around the world, causing a global public health and economic crisis. A critical limitation in detecting COVID-19-related pneumonia is that it is often manifested as a “silent pneumonia”, i.e. pulmonary auscultation that...
Autores principales: | Dori, Guy, Bachner-Hinenzon, Noa, Kasim, Nour, Zaidani, Haitem, Perl, Sivan Haia, Maayan, Shlomo, Shneifi, Amin, Kian, Yousef, Tiosano, Tuvia, Adler, Doron, Adir, Yochai |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
European Respiratory Society
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9501643/ https://www.ncbi.nlm.nih.gov/pubmed/36284830 http://dx.doi.org/10.1183/23120541.00152-2022 |
Ejemplares similares
-
A comparison of the power of breathing sounds signals acquired with a smart stethoscope from a cohort of COVID-19 patients at peak disease, and pre-discharge from the hospital
por: Kasim, Nour, et al.
Publicado: (2022) -
Health-Based Audible Noise Guidelines Account for Infrasound and Low-Frequency Noise Produced by Wind Turbines
por: Berger, Robert G., et al.
Publicado: (2015) -
The cardioprotective efficacy of TVP1022 against ischemia/reperfusion injury and cardiac remodeling in rats
por: Malka, Assaf, et al.
Publicado: (2016) -
Infrasound detection of approaching lahars
por: Johnson, J. B., et al.
Publicado: (2023) -
Temporal integration of infrasound at threshold
por: Friedrich, Björn, et al.
Publicado: (2023)