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首页> 外文会议>Knowledge-Based Intelligent Information and Engineering Systems pt.2; Lecture Notes in Artificial Intelligence; 4252 >Predictive Adaptive Control of the Bispectral Index of the EEG (BIS) - Using the Intravenous Anaesthetic Drug Propofol
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Predictive Adaptive Control of the Bispectral Index of the EEG (BIS) - Using the Intravenous Anaesthetic Drug Propofol

机译：脑电双光谱指数的预测自适应控制（BIS）-使用静脉麻醉药异丙酚

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摘要

The problem of controlling the level of unconsciousness measured by the Bispectral Index of the EEG (BIS) of patients under anaesthesia, is considered. It is assumed that the manipulated variable is the infusion rate of the hypnotic drug propofol, while the drug remifentanil is also administered for analgesia. Since these two drugs interact, the administration rate of remifentanil is considered as an accessible disturbance. In order to tackle the high uncertain present on the system, the predictive adaptive controller MUSMAR is used. The performance of the controller is illustrated by means of simulation with 45 patient individual adjusted models, which incorporate the effect of the drugs interaction on BIS. This controller structure proved to be robust to the remifentanil disturbance, different reference values and noise. A reduction of propofol consumption was also observed when comparing to the real clinical dose used for a similar BIS trend.
机译：考虑了控制由麻醉患者的EEG（BIS）的双谱指数测量的昏迷程度的问题。假定操纵变量是催眠药丙泊酚的输注速率，而瑞芬太尼也用于镇痛。由于这两种药物相互作用，因此瑞芬太尼的给药速率被认为是可及的干扰。为了解决系统中存在的高度不确定性，使用了预测自适应控制器MUSMAR。控制器的性能通过对45个患者个体调整模型的仿真来说明，其中包括了药物相互作用对BIS的影响。该控制器结构被证明对瑞芬太尼干扰，不同的参考值和噪声具有鲁棒性。与用于类似BIS趋势的实际临床剂量相比，丙泊酚的消耗量也减少了。

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