Sh. Yasini and M. B. Naghibi-Sistani and A. Karimpour
Agentbased Simulation for Blood Glucose Control in Diabetic Patients
260 - 267
2009
3
9
International Journal of Biomedical and Biological Engineering
https://publications.waset.org/pdf/4981
https://publications.waset.org/vol/33
World Academy of Science, Engineering and Technology
This paper employs a new approach to regulate the
blood glucose level of type I diabetic patient under an intensive
insulin treatment. The closedloop control scheme incorporates
expert knowledge about treatment by using reinforcement learning
theory to maintain the normoglycemic average of 80 mgdl and the
normal condition for free plasma insulin concentration in severe
initial state. The insulin delivery rate is obtained offline 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 glucoseinsulin 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
Open Science Index 33, 2009