Stockmanns Gudrun, Ningler Michael, Omerovic Adem, Kochs Eberhard F, Schneider Gerhard
Institut für Informationstechnik, Universität Duisburg-Essen, Campus Duisburg, Duisburg, Germany.
Biomed Tech (Berl). 2007 Feb;52(1):96-101. doi: 10.1515/BMT.2007.018.
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".
脑电图（EEG）信号和听觉诱发电位（AEP）已被提议作为麻醉深度的一种测量方法，因为它们反映了麻醉的主要靶器官——大脑的活动。在线信号处理模块NeuMonD是基于PC的开发平台的一部分，该平台使用EEG和AEP数据监测麻醉“深度”。NeuMonD允许从不同的临床监测器收集信号，并使用不同的信号处理方法计算和同时可视化几个指示麻醉“深度”的潜在有用参数。NeuMonD的主要优点是麻醉医生在临床环境中可以对参数或指标的性能进行早期评估，这可能会加速开发新的多参数麻醉“深度”指标的过程。
