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Biomedical Engineering / Biomedizinische Technik

Editor-in-Chief: Dössel, Olaf

Editorial Board Member: Augat, Peter / Gehring, Hartmut / Haueisen, Jens / Jockenhoevel, Stefan / Lenarz, Thomas / Leonhardt, Steffen / Niederlag, Wolfgang / Plank, Gernot / Radermacher, Klaus M. / Schkommodau, Erik / Schmitz, Georg / Stieglitz, Thomas / Witte, Herbert / Boenick, Ulrich / Jaramaz, Branislav / Kraft, Marc / Lenthe, Harry / Lo, Benny / Mainardi, Luca / Micera, Silvestro / Penzel, Thomas / Robitzki, Andrea A. / Schaeffter, Tobias / Snedeker, Jess G. / Sörnmo, Leif / Sugano, Nobuhiko / Werner, Jürgen / Wintermantel, Erich /

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Volume 57 (2012)

NeuMonD: a tool for the development of new indicators of anaesthetic effect

Gudrun Stockmanns1 / Michael Ningler2 / Adem Omerovic3 / Eberhard F. Kochs4 / Gerhard Schneider5






Corresponding author: Gudrun Stockmanns, Universität Duisburg-Essen, Fakultät für Ingenieurwissenschaften, Abteilung für Informatik und angewandte Kognitionswissenschaft, Fachgebiet Informationslogistik, Campus Duisburg, Bismarckstr. 90, 47057 Duisburg, Germany Phone: +49-203-379 2160 Fax: +49-203-379 2205

Citation Information: Biomedizinische Technik. Volume 52, Issue 1, Pages 96–101, ISSN (Online) 1862-278X, ISSN (Print) 0013-5585, DOI: 10.1515/BMT.2007.018, February 2007

Publication History

Published Online:


Electroencephalogram (EEG) signals and auditory evoked potentials (AEPs) have been suggested as a measure of depth of anaesthesia, because they reflect activity of the main target organ of anaesthesia, the brain. The online signal processing module NeuMonD is part of a PC-based development platform for monitoring “depth” of anaesthesia using EEG and AEP data. NeuMonD allows collection of signals from different clinical monitors, and calculation and simultaneous visualisation of several potentially useful parameters indicating “depth” of anaesthesia using different signal processing methods. The main advantage of NeuMonD is the possibility of early evaluation of the performance of parameters or indicators by the anaesthetist in the clinical environment which may accelerate the process of developing new, multiparametric indicators of anaesthetic “depth”.

Keywords: anaesthesia; auditory evoked potentials; EEG; indicator design; intelligent data analysis; signal processing

Citing Articles

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Gerhard Schneider, Denis Jordan, Gerhard Schwarz, Petra Bischoff, Cornelis J. Kalkman, Hermann Kuppe, Ingrid Rundshagen, Adem Omerovic, Matthias Kreuzer, Gudrun Stockmanns, and Eberhard F. Kochs
Anesthesiology, 2014, Volume 120, Number 4, Page 819
Gisela Untergehrer, Denis Jordan, Sebastian Eyl, and Gerhard Schneider
Anesthesiology, 2013, Volume 118, Number 2, Page 308
Anton Burykin, Tyler Peck, Vladimir Krejci, Andrea Vannucci, Ivan Kangrga, and Timothy G. Buchman
Journal of Critical Care, 2011, Volume 26, Number 1, Page 105.e1
Bettina Horn, Stefanie Pilge, Eberhard F. Kochs, Gudrun Stockmanns, Andreas Hock, and Gerhard Schneider
Anesthesia & Analgesia, 2009, Volume 108, Number 5, Page 1512
Denis Jordan, Gudrun Stockmanns, Eberhard F. Kochs, Stefanie Pilge, and Gerhard Schneider
Anesthesiology, 2008, Volume 109, Number 6, Page 1014
Denis Jordan, Gudrun Stockmanns, Eberhard F. Kochs, and Gerhard Schneider
Anesthesiology, 2007, Volume 107, Number 3, Page 397

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