Monitoring depth of anesthesia utilizing a combination of electroencephalographic and standard measures.

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Published in Anesthesiology on April 01, 2014

Authors

Gerhard Schneider1, Denis Jordan, Gerhard Schwarz, Petra Bischoff, Cornelis J Kalkman, Hermann Kuppe, Ingrid Rundshagen, Adem Omerovic, Matthias Kreuzer, Gudrun Stockmanns, Eberhard F Kochs, European Multicenter EEGAEP Anesthesia Monitoring Study Group and Research Group Knowledge-based Signal Processing

Author Affiliations

1: From the Department of Anesthesiology I, Witten/Herdecke University, Helios Clinic Wuppertal, Wuppertal, Germany (G. Schneider); Department of Anesthesiology, Klinikum rechts der Isar, Technische Universität München, Munich, Germany (G. Schneider, D.J., A.O., M.K., and E.F.K.); Department of Anesthesiology and Intensive Care Medicine, Medical University of Graz, Graz, Austria (G. Schwarz); Department of Anesthesiology, Knappschaftskrankenhaus Bochum Langendreer, Klinikum der Ruhr Universität Bochum, Bochum, Germany, and Department of Anesthesiology, University Hospital Hamburg-Eppendorf, Hamburg, Germany (P.B.); Department of Anesthesiology F06-149, University Medical Center Utrecht, GA Utrecht, The Netherlands (C.J.K.); Department of Anesthesiology, German Heart Center Berlin, Berlin, Germany (H.K.); Department of Anesthesiology and Operative Intensive Care, University Hospital Charité, Humboldt-University Berlin, Berlin, Germany (I.R.); Institute of Information Logistics, Department of Computer Science and Applied Cognitive Science, University of Duisburg-Essen, Germany (Hans-Dieter Kochs, Ph.D.) (G. Stockmanns); and Institute of Pattern Recognition, Faculty of Electrical Engineering and Computer Science, University of Applied Sciences Hochschule Niederrhein, Krefeld, Germany (G. Stockmanns).

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