医学
异丙酚
前瞻性队列研究
观察研究
队列研究
麻醉
内科学
作者
Julian Ostertag,Robert Zanner,Gerhard Schneider,Matthias Kreuzer
标识
DOI:10.1213/ane.0000000000006919
摘要
During the anesthetic-induced loss of responsiveness (LOR), a "paradoxical excitation" with activation of β-frequencies in the electroencephalogram (EEG) can be observed. Thus, spectral parameters-as widely used in commercial anesthesia monitoring devices-may mistakenly indicate that patients are awake when they are actually losing responsiveness. Nonlinear time-domain parameters such as permutation entropy (PeEn) may analyze additional EEG information and appropriately reflect the change in cognitive state during the transition. Determining which parameters correctly track the level of anesthesia is essential for designing monitoring algorithms but may also give valuable insight regarding the signal characteristics during state transitions.
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