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Quantification of depth of anesthesia by nonlinear time series analysis of brain electrical activity

机译:通过非线性时间序列分析量化麻醉深度   大脑电活动

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摘要

We investigate several quantifiers of the electroencephalogram (EEG) signalwith respect to their ability to indicate depth of anesthesia. For 17 patientsanesthetized with Sevoflurane, three established measures (two spectral and onebased on the bispectrum), as well as a phase space based nonlinear correlationindex were computed from consecutive EEG epochs. In absence of an independentway to determine anesthesia depth, the standard was derived from measured bloodplasma concentrations of the anesthetic via a pharmacokinetic/pharmacodynamicmodel for the estimated effective brain concentration of Sevoflurane. In mostpatients, the highest correlation is observed for the nonlinear correlationindex D*. In contrast to spectral measures, D* is found to decreasemonotonically with increasing (estimated) depth of anesthesia, even when a"burst-suppression" pattern occurs in the EEG. The findings show the potentialfor applications of concepts derived from the theory of nonlinear dynamics,even if little can be assumed about the process under investigation.
机译:我们就其指示麻醉深度的能力研究了脑电图(EEG)信号的几个量词。从连续的脑电图时期计算了七氟醚麻醉的17例患者的三个既定措施(两个频谱和一个基于双谱),以及基于相空间的非线性相关指数。在没有确定麻醉深度的独立方法的情况下,该标准品是通过药代动力学/药效学模型从所测麻醉药的血浆血浆浓度得出的,以估算七氟醚的有效脑部浓度。在大多数患者中,非线性相关指数D *的相关性最高。与光谱测量法相反,发现D *随着麻醉深度的增加(估计的)而单调降低,即使当EEG中出现“爆发抑制”模式时。研究结果表明,即使对研究过程的假设很少,也可以应用从非线性动力学理论衍生的概念。

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