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Robust Control of Maintenance-Phase Anesthesia [Applications of Control]

机译:维持期麻醉的鲁棒控制[控制应用]

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摘要

In biomedical systems, feedback control can be applied whenever adequate sensors, actuators, and sufficiently accurate mathematical models are available. The key issue is the capacity of the control algorithm to tackle the large levels of uncertainty, both structured and unstructured, associated with patient dynamics. In the particular case of intravenous anesthesia considered here, manipulated variables are drug infusion rates, administered by syringe pumps, and the measured signal outputs are the levels of hypnosis or depth of anesthesia (DoA) and of neuromuscular blockade (NMB). Figure 1 provides an example of a loop closed for the control of NMB.
机译:在生物医学系统中,只要有足够的传感器,执行器和足够准确的数学模型,就可以应用反馈控制。关键问题是控制算法处理与患者动态相关的结构化和非结构化的不确定性的能力。在此处考虑的静脉麻醉的特定情况下,操纵变量是通过注射泵给药的药物输注速率,测得的信号输出是催眠水平或麻醉深度(DoA)和神经肌肉阻滞(NMB)。图1提供了一个闭环控制NMB的示例。

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