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Robust closed-loop control of propofol administration using WAVCNS index as the controlled variable

机译:使用WAVCNS指数作为受控变量对丙泊酚给药进行鲁棒的闭环控制

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This paper presents a robust closed-loop strategy for control of depth of hypnosis. The proposed method regulates the electroencephalogram (EEG)-derived WAVCNS index as a hypnosis measure by manipulating intravenous propofol administration. In contrast to many existing closed-loop methods, the control design presented in this paper produces stability and robustness against uncertainty by explicitly accounting for the pharmacokinetic (PK) and pharmacodynamic (PD) variability between different individuals, as well as unpredictable surgical stimuli that the closed-loop control is required to tolerate. This closed-loop control was evaluated using simulated surgical procedures in 44 patient models whose PK and PD were identified from real clinical data. The controller can deliver consistent and acceptable closed-loop induction and maintenance phase responses for patients with wide-ranging PK and PD differences.
机译:本文提出了一种鲁棒的闭环控制催眠深度的策略。拟议的方法通过操纵静脉注射异丙酚来调节脑电图(EEG)衍生的WAVCNS指数,作为催眠措施。与许多现有的闭环方法相比,本文提出的控制设计通过明确考虑不同个体之间的药代动力学(PK)和药效学(PD)变异性以及不可预测的手术刺激,从而针对不确定性产生了稳定性和鲁棒性。需要闭环控制才能容忍。使用模拟的手术程序在44个患者模型中评估了这种闭环控制,这些患者模型的PK和PD是从实际临床数据中识别出来的。该控制器可为具有广泛PK和PD差异的患者提供一致且可接受的闭环诱导和维持阶段响应。

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