Excellence in Research and Innovation for Humanity
%0 Journal Article
%A J. Fernandez and  N. Aguilar and  R. Fernandez de Canete and  J. C. Ramos-Diaz
%D 2017 
%J  International Journal of Biological, Biomolecular, Agricultural, Food and Biotechnological Engineering
%B World Academy of Science, Engineering and Technology
%I International Science Index 129, 2017
%T Causal Modeling of the Glucose-Insulin System in Type-I Diabetic Patients
%U http://waset.org/publications/10007938
%V 129
%X In this paper, a simulation model of the glucose-insulin system for a patient undergoing diabetes Type 1 is developed by using a causal modeling approach under system dynamics. The OpenModelica simulation environment has been employed to build the so called causal model, while the glucose-insulin model parameters were adjusted to fit recorded mean data of a diabetic patient database. Model results under different conditions of a three-meal glucose and exogenous insulin ingestion patterns have been obtained. This simulation model can be useful to evaluate glucose-insulin performance in several circumstances, including insulin infusion algorithms in open-loop and decision support systems in closed-loop.

%P 618 - 623