Jospin Mathieu, Caminal Pere, Jensen Erik W, Litvan Hector, Vallverdú Montserrat, Struys Michel M R F, Vereecke Hugo E M, Kaplan Daniel T
Department of Automatic Control, Biomedical Engineering Research Center, Technical University of Catalonia (UPC), 08028 Barcelona, Spain.
IEEE Trans Biomed Eng. 2007 May;54(5):840-6. doi: 10.1109/TBME.2007.893453.
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.
几十年来,已经开发出多种用于在全身麻醉期间非侵入性评估意识水平的方法。在本文中,去趋势波动分析被用于研究脑电图的标度行为,以此作为意识水平的一种度量。为了表征患者状态,提出了三个指标。统计分析表明,它们能够显著区分清醒、镇静和麻醉状态。其中两个指标与已确立的麻醉深度指标具有良好的相关性。已发现标度行为与麻醉深度有关,并且该方法允许实时实施,这使其能够应用于监测设备。