Title :
Simulation of adaptive control of lidocaine serum concentrations based on sparse measurements
Author :
Jannett, T.C. ; Geyer, J.D.
Author_Institution :
Alabama Univ., Birmingham, AL, USA
Abstract :
Adaptive control of lidocaine serum concentrations based on sparse measurements is discussed. A model-based control law is used in conjunction with Bayesian parameter estimation to adjust the drug infusion rate to achieve and maintain a desired serum concentration. The performance of the system was assessed in Monte Carlo simulations over the range of pharmacokinetic parameters in the patient population
Keywords :
Bayes methods; Monte Carlo methods; adaptive control; biocontrol; blood; parameter estimation; physiological models; Bayesian parameter estimation; Monte Carlo simulations; adaptive control simulation; drug infusion rate; lidocaine serum concentrations; model-based control law; patient population; pharmacokinetic parameters; sparse measurements; Adaptive control; Bayesian methods; Biomedical measurements; Bismuth; Blood; Drugs; Length measurement; Parameter estimation; Predictive models; Time measurement;
Conference_Titel :
Engineering in Medicine and Biology Society, 1989. Images of the Twenty-First Century., Proceedings of the Annual International Conference of the IEEE Engineering in
Conference_Location :
Seattle, WA
DOI :
10.1109/IEMBS.1989.95712
