Machine learning of EEG spectra classifies unconsciousness during GABAergic anesthesia

In current anesthesiology practice, anesthesiologists infer the state of unconsciousness without directly monitoring the brain. Drug- and patient-specific electroencephalographic (EEG) signatures of anesthesia-induced unconsciousness have been identified previously. We applied machine learning appro...

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Detalles Bibliográficos
Autores principales: Abel, John H., Badgeley, Marcus A., Meschede-Krasa, Benyamin, Schamberg, Gabriel, Garwood, Indie C., Lecamwasam, Kimaya, Chakravarty, Sourish, Zhou, David W., Keating, Matthew, Purdon, Patrick L., Brown, Emery N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8101756/
https://www.ncbi.nlm.nih.gov/pubmed/33956800
http://dx.doi.org/10.1371/journal.pone.0246165

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8101756/
https://www.ncbi.nlm.nih.gov/pubmed/33956800
http://dx.doi.org/10.1371/journal.pone.0246165

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