Machine learning of EEG spectra classifies unconsciousness during GABAergic anesthesia

Machine learning of EEG spectra classifies unconsciousness during GABAergic anesthesia

<jats:p>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...

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Bibliographic Details
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
Other Authors: Picower Institute for Learning and Memory
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2021
Online Access:https://hdl.handle.net/1721.1/138186

Internet

https://hdl.handle.net/1721.1/138186

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