Machine learning of EEG spectra classifies unconsciousness during GABAergic anesthesia.

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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Bibliographic Details
Main Authors: John H Abel, Marcus A Badgeley, Benyamin Meschede-Krasa, Gabriel Schamberg, Indie C Garwood, Kimaya Lecamwasam, Sourish Chakravarty, David W Zhou, Matthew Keating, Patrick L Purdon, Emery N Brown
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2021-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0246165

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https://doi.org/10.1371/journal.pone.0246165

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