International Journal of Applied Science, Engineering and Technology, Volume (5), No (1), Year (2009-1) , Pages (40-47)

Title : ( Agent-based Simulation for Blood Glucose )

Authors: Sholeh Yasini , Mohammad Bagher Naghibi Sistani , Ali Karimpour ,

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This paper employs a new approach to regulate the blood glucose level of type I diabetic patient under an intensive insulin treatment. The closed-loop control scheme incorporates expert knowledge about treatment by using reinforcement learning theory to maintain the normoglycemic average of 80 mg/dl and the normal condition for free plasma insulin concentration in severe initial state. The insulin delivery rate is obtained off-line by using Qlearning algorithm, without requiring an explicit model of the environment dynamics. The implementation of the insulin delivery rate, therefore, requires simple function evaluation and minimal online computations. Controller performance is assessed in terms of its ability to reject the effect of meal disturbance and to overcome the variability in the glucose-insulin dynamics from patient to patient. Computer simulations are used to evaluate the effectiveness of the proposed technique and to show its superiority in controlling hyperglycemia over other existing algorithms.


, Keywords—Insulin Delivery rate, Q-learning algorithm, Reinforcement learning, Type I diabetes.
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author = {Yasini, Sholeh and Naghibi Sistani, Mohammad Bagher and Karimpour, Ali},
title = {Agent-based Simulation for Blood Glucose},
journal = {International Journal of Applied Science, Engineering and Technology},
year = {2009},
volume = {5},
number = {1},
month = {January},
issn = {1307-4318},
pages = {40--47},
numpages = {7},
keywords = {Keywords—Insulin Delivery rate; Q-learning algorithm; Reinforcement learning; Type I diabetes.},


%0 Journal Article
%T Agent-based Simulation for Blood Glucose
%A Yasini, Sholeh
%A Naghibi Sistani, Mohammad Bagher
%A Karimpour, Ali
%J International Journal of Applied Science, Engineering and Technology
%@ 1307-4318
%D 2009