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NMPC for propofol drug dosing during anesthesia induction

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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.
Keywords
Predictive Control, Nonlinear, Anesthesia

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Citation

Please use this url to cite or link to this publication:

Chicago
Syafiie, ., Jorge Niño Castañeda, Clara-Mihaela Ionescu, and Robain De Keyser. 2009. “NMPC for Propofol Drug Dosing During Anesthesia Induction.” In Lecture Notes in Control and Information Sciences, ed. L Magni, DM Raimondo, and F Allgower, 384:501–509. Berlin, Germany: Springer.
APA
Syafiie, ., Niño Castañeda, J., Ionescu, C.-M., & De Keyser, R. (2009). NMPC for propofol drug dosing during anesthesia induction. In L. Magni, D. Raimondo, & F. Allgower (Eds.), LECTURE NOTES IN CONTROL AND INFORMATION SCIENCES (Vol. 384, pp. 501–509). Presented at the International Workshop on Assessment and Future Directions of Nonlinear Model Predictive Control, Berlin, Germany: Springer.
Vancouver
1.
Syafiie ., Niño Castañeda J, Ionescu C-M, De Keyser R. NMPC for propofol drug dosing during anesthesia induction. In: Magni L, Raimondo D, Allgower F, editors. LECTURE NOTES IN CONTROL AND INFORMATION SCIENCES. Berlin, Germany: Springer; 2009. p. 501–9.
MLA
Syafiie, ., Jorge Niño Castañeda, Clara-Mihaela Ionescu, et al. “NMPC for Propofol Drug Dosing During Anesthesia Induction.” Lecture Notes in Control and Information Sciences. Ed. L Magni, DM Raimondo, & F Allgower. Vol. 384. Berlin, Germany: Springer, 2009. 501–509. Print.
@inproceedings{788757,
  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.},
  author       = {Syafiie, . and Ni{\~n}o Casta{\~n}eda, Jorge and Ionescu, Clara-Mihaela and De Keyser, Robain},
  booktitle    = {LECTURE NOTES IN CONTROL AND INFORMATION SCIENCES},
  editor       = {Magni, L and Raimondo, DM and Allgower, F},
  isbn         = {978-3-642-01093-4},
  issn         = {0170-8643},
  language     = {eng},
  location     = {Pavia, Italy},
  pages        = {501--509},
  publisher    = {Springer},
  title        = {NMPC for propofol drug dosing during anesthesia induction},
  url          = {http://dx.doi.org/10.1007/978-3-642-01094-1\_40},
  volume       = {384},
  year         = {2009},
}

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