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Unconstrained and constrained generalised predictive control of depth of anaesthesia during surgery

机译:手术期间麻醉深度的不受约束和受约束的广义预测控制

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摘要

The unconstrained and constrained versions of generalised predictive control (GPC) are evaluated for on-line administration of anaesthetic drugs during surgery. First, a patient simulator was developed using a physiological model of the patient and the necessary control software was validated via a series of extensive simulation studies. The validated system was then transferred into the operating theatre for a series of clinical evaluation trials. The trials were performed with little involvement of the design engineers and good regulation of the blood pressure has been achieved using fixed-parameter as well the adaptive versions of the algorithm. Following such trials, the design engineer's assessment was that better regulation and control were obtained with the constrained algorithm and the anaesthetist's assessment was that good anaesthesia was achieved, with all patients recovering well after the operations. Furthermore, the constrained algorithm displayed good robustness properties against disturbances such as high stimulus levels and allowed for safe and economically effective administration of the drug isoflurane.
机译:在手术期间对麻醉药的在线给药评估了通用预测控制(GPC)的无限制版本和受限制版本。首先,使用患者的生理模型开发了患者模拟器,并通过一系列广泛的模拟研究验证了必要的控制软件。经过验证的系统然后被转移到手术室进行一系列临床评估试验。在设计工程师的参与下进行了试验,并且使用固定参数以及算法的自适应版本已经实现了对血压的良好调节。经过这样的试验,设计工程师的评估是通过约束算法获得了更好的调节和控制,而麻醉师的评估是获得了良好的麻醉效果,所有患者术后均恢复良好。此外,受约束的算法对干扰(例如高刺激水平)显示出良好的鲁棒性,并允许安全且经济有效地施用异氟烷。

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