Machine learning of EEG spectra classifies unconsciousness during GABAergic anesthesia
Machine learning of EEG spectra classifies unconsciousness during GABAergic anesthesia
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Publisher
United States: Public Library of Science
Journal title
Language
English
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Publication information
Publisher
United States: Public Library of Science
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Scope and Contents
Contents
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 approaches to construct classification models for real-...
Alternative Titles
Full title
Machine learning of EEG spectra classifies unconsciousness during GABAergic anesthesia
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Record Identifier
TN_cdi_plos_journals_2522651322
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2522651322
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ISSN
1932-6203
E-ISSN
1932-6203
DOI
10.1371/journal.pone.0246165
