NMPC for Propofol Drug Dosing during Anesthesia Induction

被引：0

作者：

Syafiie, S. ^{[1
]}

Nino, J. ^{[1
]}

Ionescu, C. ^{[1
]}

De Keyser, R. ^{[1
]}

机构：

[1] Univ Ghent, Dept Elect Energy Syst & Automat, B-9052 Ghent, Belgium

来源：

NONLINEAR MODEL PREDICTIVE CONTROL: TOWARDS NEW CHALLENGING APPLICATIONS | 2009年 / 384卷

关键词：

Predictive Control; Nonlinear; Anesthesia;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper presents the application of nonlinear predictive control to drug dosing during anesthesia in prospective patients for undergoing, surgery. A single-input (propofol) single output (Bispectral index (BIS)) patient model has been employed. The pharmacokinetic-pharmacodynamic model, which is in fact a Wiener-type model, has been used for prediction. A set of 12 patient models were studied while controlling BIS at 50 by applying our in-house nonlinear extended-prediction self-adaptive control strategy (NEPSAC). The results of this simulation study show that NEPSAC outperforms EPSAC, using a nominal patient model for prediction.

引用

页码：501 / 509

页数：9

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