Ionescu Clara M, Nascu Ioana, De Keyser Robin
Department of Electrical Energy, Systems and Automation, Faculty of Engineering and Architecture, Ghent University, Technologiepark 913, 9052, Gent-Zwijnaarde, Belgium,
J Clin Monit Comput. 2014 Dec;28(6):537-46. doi: 10.1007/s10877-013-9535-5. Epub 2013 Nov 23.
In this paper is presented a brief state of art regarding the multivariable formulation for controlling the depth of anaesthesia by means of two intravenously administrated drugs, i.e. propofol and remifentanil. In a feasibility study of determining a suitable variable to quantify analgesia levels in patients undergoing cardiac surgery, the bispectral index and an electromyogram-based surrogate variable are proposed as the controlled variables. The study is carried on in the context of implementing a multivariable predictive control algorithm. The simulation results show that such a paradigm is feasible, although it does not guarantee perfect knowledge of the analgesia level-in other words, the variable is not validated against typical evaluations of the pain levels (e.g. clinical scores).
本文介绍了一种关于通过静脉注射两种药物(即丙泊酚和瑞芬太尼)来控制麻醉深度的多变量公式的简要技术现状。在一项确定合适变量以量化心脏手术患者镇痛水平的可行性研究中,提出将脑电双频指数和基于肌电图的替代变量作为控制变量。该研究是在实施多变量预测控制算法的背景下进行的。仿真结果表明,这种模式是可行的,尽管它不能保证完全了解镇痛水平——换句话说,该变量尚未根据疼痛水平的典型评估(如临床评分)进行验证。