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Individualized control of the depth of anesthesia based on online identification and retuning

机译:基于在线识别和重新定期的个性化控制麻醉深度

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摘要

In this paper a control scheme based on a simplified model for the joint action of propofol and remifentanil on the depth of anesthesia, measured by the BIS level, is proposed. The simplified model contains four patient dependent parameters, two of which can be easily estimated from the patient’s BIS response to an initial bolus of propofol. Instead of estimating the remaining necessary parameters, initial guesses are assumed for these parameters in order to compute the drug dosages corresponding to a desired reference BIS level by steady-state model inversion.The dosages are updated by means of a successive retuning procedure that ensures that the patient’s BIS response achieves and maintains the desired reference level. This successive retuning scheme yields betters results than a single retuning procedure by decreasing the settling time at the target BIS value.
机译:在本文中,提出了一种基于双水平测量的异丙酚和雷芬丹尼尔的联合作用的简化模型的控制方案。 简化模型包含四个患者依赖参数,其中两个可以从患者的BIS响应估计到异丙酚的初始推注。 除了估计剩余的必要参数之上,假设用于这些参数的初始猜测,以通过稳态模型反转来计算对应于所需参考BIS水平的药物剂量。通过连续的重新定期过程来更新剂量,以确保其 患者的BIS反应达到并保持所需的参考水平。 这种连续的修复方案通过减少目标双价值下降到单一的重新定程而不是单一的重新定期来产生再生。

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