A Full-Stack Application for Detecting Seizures and Reducing Data During Continuous Electroencephalogram Monitoring

BACKGROUND: Continuous electroencephalogram monitoring is associated with lower mortality in critically ill patients; however, it is underused due to the resource-intensive nature of manually interpreting prolonged streams of continuous electroencephalogram data. Here, we present a novel real-time,...

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Detalles Bibliográficos
Autores principales: Bernabei, John M., Owoputi, Olaoluwa, Small, Shyon D., Nyema, Nathaniel T., Dumenyo, Elom, Kim, Joongwon, Baldassano, Steven N., Painter, Christopher, Conrad, Erin C., Ganguly, Taneeta M., Balu, Ramani, Davis, Kathryn A., Levine, Joshua M., Pathmanathan, Jay, Litt, Brian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2021
Materias:
Methodology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8280012/
https://www.ncbi.nlm.nih.gov/pubmed/34278312
http://dx.doi.org/10.1097/CCE.0000000000000476

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8280012/
https://www.ncbi.nlm.nih.gov/pubmed/34278312
http://dx.doi.org/10.1097/CCE.0000000000000476

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