Individualized PID control of depth of anesthesia based on patient model identification during the induction phase of anesthesia

This paper proposes a closed-loop propofol admission strategy for depth of hypnosis control in anesthesia. A population-based, robustly tuned controller brings the patient to a desired level of hypnosis. The novelty lies in individualizing the controller once a stable level of hypnosis is reached. This is based on the identified patient parameters and enhances suppression of output disturbances, representing surgical stimuli. The system was evaluated in simulation on models of 44 patients obtained from clinical trials. A large amount of improvement (20 – 30%) in load suppression performance is obtained by the proposed individualized control.

[1]  Wassim M. Haddad,et al.  Adaptive control for nonlinear compartmental dynamical systems with applications to clinical pharmacology , 2006, Syst. Control. Lett..

[2]  S. Shafer,et al.  The Influence of Method of Administration and Covariates on the Pharmacokinetics of Propofol in Adult Volunteers , 1998, Anesthesiology.

[3]  Julio E. Normey-Rico,et al.  Robust Predictive Control Strategy Applied for Propofol Dosing Using BIS as a Controlled Variable During Anesthesia , 2008, IEEE Transactions on Biomedical Engineering.

[4]  Kristian Soltesz,et al.  Transfer function parameter identification by modified relay feedback , 2010, Proceedings of the 2010 American Control Conference.

[5]  Stephane Bibian,et al.  Automation in clinical anesthesia , 2006 .

[6]  Manfred Morari,et al.  Modeling and closed-loop control of hypnosis by means of bispectral index (BIS) with isoflurane , 2001, IEEE Transactions on Biomedical Engineering.

[7]  Peter S. Sebel,et al.  Development and Clinical Application of Electroencephalographic Bispectrum Monitoring , 2000, Anesthesiology.

[8]  J Schüttler,et al.  Population Pharmacokinetics of Propofol: A Multicenter Study , 2000, Anesthesiology.

[9]  K.J. Astrom,et al.  Design of PID controllers based on constrained optimization , 1999, Proceedings of the 1999 American Control Conference (Cat. No. 99CH36251).

[10]  Guy Albert Dumont,et al.  Introduction to Automated Drug Delivery in Clinical Anesthesia , 2005, Eur. J. Control.

[11]  Arturo Martínez.  Robust control : PID vs. fractional control design, a case study , 2006 .

[12]  Guy A. Dumont,et al.  Robust control of depth of anesthesia , 2008 .

[13]  Tore Hägglund,et al.  A Software Tool for Robust PID Design , 2008 .

[14]  Guy Albert Dumont,et al.  Quantifying cortical activity during general anesthesia using wavelet analysis , 2006, IEEE Transactions on Biomedical Engineering.