A hypnosis and analgesia control system using a model predictive controller in total intravenous anesthesia during day-case surgery
A hypnosis and analgesia control system using a model predictive controller in total intravenous anesthesia during day-case surgery
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发表时间：
2010-10
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通讯作者：
E. Furutani;Keigo Tsuruoka;Shogo Kusudo;G. Shirakami;K. Fukuda
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作者：
E. Furutani;Keigo Tsuruoka;Shogo Kusudo;G. Shirakami;K. Fukuda
本文开发了一种在日间手术全静脉麻醉期间使用模型预测控制器的催眠和镇痛控制系统。根据脉搏率和脑电图（EEG）频谱分析获得的熵差（ED）构建了用于镇痛控制的新镇痛指数。由于使用麻醉剂丙泊酚和瑞芬太尼，并且分别使用脑电双频指数（BIS）和拟定镇痛指数作为催眠和镇痛指数。丙泊酚和瑞芬太尼的催眠和镇痛反应模型由药代动力学模型、考虑药物相互作用的药效学模型和停滞时间组成。控制系统具有药效模型个体参数和死区时间的识别功能，识别后利用模型预测控制同时调整异丙酚和瑞芬太尼的输注速率。仿真结果表明其具有良好的性能，但个别参数的辨识方法还有待改进。
In this paper, a hypnosis and analgesia control system using a model predictive controller during total intravenous anesthesia for day-case surgery is developed. A new analgesia index for analgesia control is constructed from pulse rate and Entropy Difference (ED) obtained by spectral analysis of electroencephalogram (EEG). As the anesthetics propofol and remifentanil are used, and the Bispectral Index (BIS) and the proposed analgesia index are used as hypnosis and analgesia indices, respectively. The model of hypnosis and analgesia responses to propofol and remifentanil consists of pharmacokinetic models, pharmacodynamic models considering interaction of drugs, and dead times. The control system has an identification function of individual parameters of pharmacodynamic models and dead times, and adjusts infusion rates of propofol and remifentanil simultaneously using model predictive control after the identification. Simulation results show that it has a good performance, but the identification method of individual parameters has to be improved.