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Enhancing parameter precision and the minimal modeling approach in type I diabetes.

Fernandez, M; Acosta, D; Villasana, M; Streja, D; (2004) Enhancing parameter precision and the minimal modeling approach in type I diabetes. Conf Proc IEEE Eng Med Biol Soc , 2 797 - 800. 10.1109/IEMBS.2004.1403278.

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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.

Type:Article
Title:Enhancing parameter precision and the minimal modeling approach in type I diabetes.
Location:United States
DOI:10.1109/IEMBS.2004.1403278
Language:English
UCL classification:UCL > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Epidemiology and Health Care > CHIME

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