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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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Detalhes bibliográficos
Publicado no:PLoS One
Main Authors: 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: Artigo
Idioma:Inglês
Publicado em: Public Library of Science 2021
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC8101756/
https://ncbi.nlm.nih.gov/pubmed/33956800
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0246165
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