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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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MLA
Syafiie, . 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.
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.
Chicago author-date
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.
Chicago author-date (all authors)
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.
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.
IEEE
[1]
. Syafiie, J. Niño Castañeda, C.-M. Ionescu, and R. De Keyser, “NMPC for propofol drug dosing during anesthesia induction,” in LECTURE NOTES IN CONTROL AND INFORMATION SCIENCES, Pavia, Italy, 2009, vol. 384, pp. 501–509.
@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 Niño Castañeda, 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}},
  keywords     = {{Predictive Control,Nonlinear,Anesthesia}},
  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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