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Robust control of depth of anesthesia based on H∞ design

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This paper presents a case study on the design of a robust controller for the depth of anesthesia (DoA) induced by the drug propofol. This process is represented by a linear model together with a non-parametric uncertainty description that is evaluated using a patient model bank with 20 patients undergoing sedation. By using H∞ methods, the controller is aimed to comply with robust stability and performance specifications for the class of patient models considered. A minimization problem of sensitivity and complementary sensitivity is made to design the controller. The controller that results from this procedure is approximated by a controller with a lower order, that in turn is redesigned in discrete time for computer control application. The resulting controller is evaluated in simulations using a realistic nonlinear model of DoA.
Rocznik
Strony
41--59
Opis fizyczny
Bibliogr. 17 poz., rys., tab.
Twórcy
autor
  • INESC-ID, Lisboa, Portugal
autor
  • INESC-ID/IST, Lisboa, Portugal
autor
  • INESC-ID/IST, Lisboa, Portugal
Bibliografia
  • [1] A. R. Absalom, N. Sutcliffe and G. N. Kenny: Closed-loop control of anesthesia using bispectral index: performance assessment in patients undergoing major orthopedic surgery under combined general and regional anesthesia. Anesthesiology, 96(1), (2002), 67-73.
  • [2] S. Anna and P. Wen: Depth of anesthesia control using internal model control techniques. In 2010 IEEE/ICME Int. Conf. on Complex Medical Engineering, (2010), 294-300.
  • [3] G. Balas, A. Chiang, R. Packard and M. Safanov: Robust ControlToolboxTMUser’ Guide. The MathWorks, Inc., 2012.
  • [4] T. W. Bouillon, J. Bruhn, L. Radulescu, C. Andresen, T. J. Shafer, C. Carol and S. L. Shafer: Pharmacodynamic interaction between propofol and remifentanil regarding hypnosis, tolerance of laryngoscopy, bispectral index, and electroencephalographic approximate entropy. Anesthesiology, 100(6), (2004), 1353-1372.
  • [5] G. A. Dumont, A. Martinez and J. M. Ansermino: Robust control of depth of anesthesia. Int. J. of Adaptive Control and Signal Processing, 23(5), (2009), 435-454.
  • [6] J. B. Dyck and S. L. Shafter: Effects of age on propofol pharmacokinetics. In Seminars in Anesthesia, 11 2-4. Implemented in the computer program Stanpump, (1992).
  • [7] C. M. Ionescu, R. De Keyser, B. C. Torrico, T. De Smet, M. M. Struys and J. E. Normey-Rico: Robust predictive control strategy applied for propofol dosing using BIS as a controlled variable during anesthesia. IEEE Trans. onBiomedical Engineering, 5 (9), (2008), 2161-2170.
  • [8] L. A. Kearse Jr, C. Rosow, A. Zaslavsky, P. Connors, M. Dershwitz and W. Denman: Bispectral analysis of the electroencephalogram predicts conscious processing of information during propofol sedation and hypnosis. Anesthesiology, 88(1), (1998), 25-34.
  • [9] N. Liu, T. Chazot, A Genty, A. Landais, A. Restoux, K. Mcgee, P. A. Laloë , B. Trillat, L. Barvais and M. Fischler: Titration of propofol for anesthetic induction and maintenance guided by the bispectral index: closed-loop versus manual control: a prospective, randomized, multicenter study. Anesthesiology, 104(4), (2006), 686-695.
  • [10] B. Marsh, M. White, N. Morton and G. N. C. Kenny: Pharmacokinetic model driven infusion of propofol in children. British J. of Anaesthesia, 67(1), (1991), 41-48.
  • [11] O. Ortolani, A. Conti, A. Di Filippo, C. Adembri, E. Moraldi, A. Evangelisti, M. Maggini and S. J. Roberts: EEG signal processing in anaesthesia. use of a neural network technique for monitoring depth of anaesthesia. British J. of Anaesthesia, 88(5), (2002), 644-648.
  • [12] I. J. Rampil: A primer for EEG signal processing in anesthesia. Anesthesiology, 89(4), (1998), 980-1002.
  • [13] T. Sakai, A. Matsuki, P. F. White and A. H. Giesecke: Use of an EEGbispectral closed-loop delivery system for administering propofol. Acta AnaesthesiologicaScandinavica, 44(8), (2000), 1007-1010.
  • [14] Y. Sawaguchi, E. Furutani, G. Shirakami, M. Araki and K. Fukuda: A model-predictive hypnosis control system under total intravenous anesthesia. IEEETrans. on Biomedical Engineering, 55(3), (2008), 874-887.
  • [15] T. W. Schnider, C. F. Minto, P. L. Gambus, C. Andresen, D. B. Goodale, S. L. Shafer and E. J. Youngs: The influence of method of administration and covariates on the pharmacokinetics and pharmacodynamics of propofol in adult volunteers. Anesthesiology, 88(5), (1998), 1170-1182.
  • [16] J. S. Shieh, D. A. Linkens and A. J. Asbury: A hierarchical system of online advisory for monitoring and controlling the depth of anaesthesia using selforganizing fuzzy logic. Engineering Applications of Artificial Intelligence, 18(3), (2005), 307-316.
  • [17] S. Skogestad and I. Postlethwaite: Multivariable Feedback Control Analysisand Design. John Wiley & Sons, 2005.
Uwagi
EN
This work has been performed in the framework of project GALENO - Modeling and control for personalizeddrug administration, supported by Fundação de Ciência e Tecnologia, Portugal, under contract PTDC/SAU-BEB/103667/2008, and PEst - OE/EEI/LA0021/2011.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-4ed0bdbe-2293-4807-99fd-6b15e80d71e8
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