title: Enhancing parameter precision and the minimal modeling approach in type I diabetes.
abstract: An evaluation of a simple model including external perturbations was evaluated for its usefulness in predicting diabetic patients' behavior. The model proposed has been derived from Cobelli and Marl's comprehensive model and is structurally identifiable. The optimization was carried out on data gathered using CGMS (Medtronic MiniMed) on 3 subjects. The model was also optimized after performing a model-based signal enhancement. The results obtained before and after signal enhancement showed a promising reduction in the variation coefficient of the estimated parameters. This reduction is expected to be useful in the design of a closed loop controller for subcutaneous insulin delivery.
authors.affiliation: Dept. de Computacion y Tecnologia de la Inf., Simon Bolivar Univ., Caracas, Venezuela.
authors.forename: Margarita
authors.initials: M
authors.lastname: Fernandez
authors.forename: Dionisio
authors.initials: D
authors.lastname: Acosta
authors.forename: Minaya
authors.initials: M
authors.lastname: Villasana
authors.forename: Dan
authors.initials: D
authors.lastname: Streja