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Robustness Tests of a Model Based Predictive Control Strategy for Depth of Anesthesia Regulation in a Propofol to Bispectral Index Framework

机译:异丙酚对双光谱指数框架中基于模型的麻醉深度调节预测控制策略的鲁棒性测试

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This paper verifies the robustness of a model based predictive control scheme for depth of anesthesia (DOA) regulation. The manipulated variable is Propofol, which is used in a Model based Predictive Control (MPC) algorithm for automatic induction and control of DOA. In turn, DOA is evaluated by means of the Bispectral index (BIS). The simula tion tests are performed on a set of 17 virtually generated realistic patients with significantly varying sensitivity to Pro pofol infusion. The results show a high-efficiency, optimal dosage and robustness of the MPC algorithm to induce and maintain the desired BIS reference while rejecting typical disturbances from surgery.
机译:本文验证了用于麻醉深度(DOA)调节的基于模型的预测控制方案的鲁棒性。操纵变量是丙泊酚,它在基于模型的预测控制(MPC)算法中用于DOA的自动归纳和控制。反过来,DOA则通过双光谱指数(BIS)进行评估。模拟测试是对一组17位虚拟产生的现实患者进行的,这些患者对丙泊酚输注的敏感性差异很大。结果表明,MPC算法具有很高的效率,最佳的剂量和鲁棒性,可以诱导并保持所需的BIS参考,同时还能拒绝手术带来的典型干扰。

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