熵在麻醉深度监测中的应用

麻醉深度一直是麻醉医生所关注的问题.全身麻醉是一种特殊而非常复杂的状态,包括催眠、记忆缺失、疼痛应激抑制和肌肉松弛等方面的因素.熵(entropy)是通过对脑电图(elelctroencephalogram,EEG)及前额肌电图(frontal electro-myogram,FEMG)的采集,运用一种特殊的运算方式将反映脑电信号的复杂程度用数值表述出来.Datex-Ohmeda公司经过数年与临床合作研究开发,于2003年在全球推出了S/5TMM-Entropy模块,将熵指数的概念第一次作为监测的一种手段提供给麻醉医师,使其真正在临床得以实践.现就麻醉深度和熵在临床的应用情况作一综述.

The application of entropy in monitoring the depth of anaesthesia

The depth of anesthesia is always an important thing that anesthesiologist concerns. General anesthesia is a special and very complicated state including hypnosis, loss of memory , inhibiting the response of pain and muscles relaxing. The concept of entropy, originally derived from thermodynamics, has been successfully applied in EEG analysis. By collecting the data of EEG and Frontal electromyogram (FEMG) , entropy can reflect the complexity of activity of EEG in values by a special algorithm. In 2003, Datex-Ohmeda intreduced the Entropy Moduletrade mark for measuring depth of anesthesia. Based on the Shannon entropy of the EEG, state entropy (SE) of the EEG(0.8 Hz-32 Hz), response entropy(RE) of EEG and FEMG(0.8 Hz-47 Hz) are calculated. This text reviewed the depth of anesthesia and the clinical application of entropy.