Abstract
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.
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Syafiie, S., Niño, J., Ionescu, C., De Keyser, R. (2009). NMPC for Propofol Drug Dosing during Anesthesia Induction. In: Magni, L., Raimondo, D.M., Allgöwer, F. (eds) Nonlinear Model Predictive Control. Lecture Notes in Control and Information Sciences, vol 384. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01094-1_40
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DOI: https://doi.org/10.1007/978-3-642-01094-1_40
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