Title :
Enhancing parameter precision and the minimal modeling approach in type I diabetes
Author :
Fernandez, Margarita ; Acosta, Dionisio ; Villasana, Minaya ; Streja, Dan
Author_Institution :
Dept. de Computacion y Tecnologia de la Inf., Simon Bolivar Univ., Caracas, Venezuela
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.
Keywords :
biochemistry; closed loop systems; data analysis; diseases; drugs; medical image processing; patient monitoring; physiological models; skin; sugar; Marl comprehensive model; closed loop controller; data gathering; minimal modeling approach; parameter precision; signal enhancement; signal processing; subcutaneous insulin delivery; system identification; type I diabetes patients behavior; Diabetes; Instruments; Insulin; Linearity; Mathematical model; Parameter estimation; Predictive models; Sugar; Testing; User-generated content; Type I diabetes; closed loop control; data preprocessing; insulin delivery; mathematical modeling; minimal model; signal processing; subcutaneous route; system identification;
Conference_Titel :
Engineering in Medicine and Biology Society, 2004. IEMBS '04. 26th Annual International Conference of the IEEE
Conference_Location :
San Francisco, CA
Print_ISBN :
0-7803-8439-3
DOI :
10.1109/IEMBS.2004.1403278
