MODELING AND CONTROL OF ANAESTHETICS DURING POST SURGICAL TREATMENT

G. Sowparnika, Harikrishnan K K Prasad, M. Thirumarimurugan
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Abstract

The major constraint in automatic control of anaesthesia is patient’s variability based on drug tolerance. A controller has to be designed in such way that it is robust to the actual patient’s response even if the controller is designed based on a nominal patient model. Anaesthetic agent used in this study is isoflurane gas and the controlled delivery of anaesthetic agent has to be given with utmost care of great accuracy because the agents used here have narrow therapeutic uses. The importance of the robustness of the controller to be designed is that it must provide a sufficient and controlled administration of drugs to avoid the situations of under and over dosing of patients. The hemodynamic parameters that are to be measured during drug administration is Mean Arterial Pressure (MAP) and heart rate (HR), whereas another parameter to be measured during anaesthesia delivery is measure of unconsciousness of the patient called asBi-spectral Index (BIS). In this study, the anaesthesia control system is modeled and controller design is made for patient undergoing Intensive Care Treatment (ICU) after valve replacement surgery. The background analysis is made by observing the realtimeparameters such as BIS, MAP, and HR of patient undergone valve replacement surgery.
手术后治疗期间麻醉剂的建模和控制
麻醉自动控制的主要限制因素是病人基于药物耐受性的可变性。即使控制器是根据名义病人模型设计的,其设计方式也必须对病人的实际反应具有鲁棒性。本研究中使用的麻醉剂是异氟醚气体,麻醉剂的控制给药必须非常谨慎和精确,因为这里使用的麻醉剂治疗范围很窄。所设计控制器的稳健性的重要性在于,它必须提供足够的、可控的给药,以避免出现给药不足或给药过多的情况。给药过程中需要测量的血液动力学参数是平均动脉压(MAP)和心率(HR),而麻醉过程中需要测量的另一个参数是病人的昏迷程度,即生物频谱指数(BIS)。在本研究中,针对瓣膜置换手术后接受重症监护治疗(ICU)的患者,对麻醉控制系统进行了建模和控制器设计。通过观察接受瓣膜置换手术病人的 BIS、MAP 和 HR 等实时参数进行背景分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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