Predicting Deep Hypnotic State From Sleep Brain Rhythms Using Deep Learning: A Data-Repurposing Approach

BACKGROUND: Brain monitors tracking quantitative brain activities from electroencephalogram (EEG) to predict hypnotic levels have been proposed as a labor-saving alternative to behavioral assessments. Expensive clinical trials are required to validate any newly developed processed EEG monitor for ev...

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Detalles Bibliográficos
Autores principales: Belur Nagaraj, Sunil, Ramaswamy, Sowmya M., Weerink, Maud A. S., Struys, Michel M. R. F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2020
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Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7147424/
https://www.ncbi.nlm.nih.gov/pubmed/32287128
http://dx.doi.org/10.1213/ANE.0000000000004651

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7147424/
https://www.ncbi.nlm.nih.gov/pubmed/32287128
http://dx.doi.org/10.1213/ANE.0000000000004651

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