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Machine learning for a combined electroencephalographic anesthesia index to detect awareness under anesthesia

Moritz Tacke1,2, Eberhard F Kochs1, Marianne Mueller3

  • 1Department of Anesthesiology, Klinikum rechts der Isar, Technische Universität München, Munich, Germany.

Plos One
|August 27, 2020
PubMed
Summary

Machine learning effectively combines electroencephalogram (EEG) and auditory evoked potentials (AEP) to monitor consciousness during anesthesia. This combined approach significantly improves prediction accuracy compared to using either signal alone.

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