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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,...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2021
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Materias: | |
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 |