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Biomedical Engineering / Biomedizinische Technik

Editor-in-Chief: Dössel, Olaf

Editorial Board Member: Augat, Peter / Gehring, Hartmut / Haueisen, Jens / Jockenhoevel, Stefan / 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

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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:
2007-02-22

Abstract

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

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