Title :
Modeling and estimation for patient controlled analgesia of chronic pain
Author :
Jacobs, Oliver L R ; Liu, Yan P. ; McQuay, Henry J.
Author_Institution :
Dept. of Eng. Sci., Oxford Univ., UK
fDate :
5/1/1995 12:00:00 AM
Abstract :
An existing mathematical model of the patient and the pain in patient controlled analgesia is extended to account for the potent metabolite morphine-6β-glucuronide and to characterize chronic pain. Nominal population parameters characterizing pain and analgesic effect are tuned to make the model match observed clinical behavior. The model is used to design an on-line estimator generating state estimates which should be suitable for use in a stochastic PCA algorithm delivering a self-adjusting continuous infusion
Keywords :
physiological models; chronic pain; morphine-6β-glucuronide; nominal population parameters; observed clinical behavior; on-line estimator; patient controlled analgesia; patient mathematical model; potent metabolite; self-adjusting continuous infusion; state estimates generation; stochastic PCA algorithm; Algorithm design and analysis; Feedback; Jacobian matrices; Mathematical model; Microprocessors; Pain; Principal component analysis; Safety; State estimation; Stochastic processes;
Journal_Title :
Biomedical Engineering, IEEE Transactions on
