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Detrended Fluctuation Analysis of EEG as a Measure of Depth of Anesthesia

机译:脑电图的去趋势波动分析作为麻醉深度的量度

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For several decades, a number of methods have been developed for the noninvasive assessment of the level of consciousness during general anesthesia. In this paper, detrended fluctuation analysis is used to study the scaling behavior of the electroencephalogram as a measure of the level of consciousness. Three indexes are proposed in order to characterize the patient state. Statistical analysis demonstrates that they allow significant discrimination between the awake, sedated and anesthetized states. Two of them present a good correlation with established indexes of depth of anesthesia. The scaling behavior has been found related to the depth of anesthesia and the methodology allows real-time implementation, which enables its application in monitoring devices.
机译:几十年来,已经开发了许多方法用于无创评估全麻过程中的意识水平。在本文中,使用去趋势波动分析来研究脑电图的缩放行为,以作为意识水平的度量。为了表征患者的状态,提出了三个指标。统计分析表明,它们允许在清醒状态,镇静状态和麻醉状态之间进行显着区分。其中两个与已建立的麻醉深度指标呈现出良好的相关性。已经发现结垢行为与麻醉深度有关,并且该方法允许实时实施,这使其能够在监测设备中应用。

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