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Reexamination Certificate
2006-05-15
2010-10-05
Lucchesi, Nicholas D (Department: 3763)
Surgery
Means for introducing or removing material from body for...
Treating material introduced into or removed from body...
Reexamination Certificate
active
07806854
ABSTRACT:
An augmented, adaptive algorithm utilizing model predictive control (MPC) is developed for closed-loop glucose control in type 1 diabetes. A linear empirical input-output subject model is used with an MPC algorithm to regulate blood glucose online, where the subject model is recursively adapted, and the control signal for delivery of insulin and a counter-regulatory agent such as glucagon is based solely on online glucose concentration measurements. The MPC signal is synthesized by optimizing an augmented objective function that minimizes local insulin accumulation in the subcutaneous depot and control signal aggressiveness, while simultaneously regulating glucose concentration to a preset reference set point. The mathematical formulation governing the subcutaneous accumulation of administered insulin is derived based on nominal temporal values pertaining to the pharmacokinetics (timecourse of activity) of insulin in human, in terms of its absorption rate, peak absorption time, and overall time of action.
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Supplementary European Search Report from EP06752536, search date Apr. 7, 2009.
Damiano Edward
El-Khatib Firas
BainwoodHuang
Lucchesi Nicholas D
Patel Pritesh
The Board of Trustees of the University of Illinois
Trustees of Boston University
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