Special Session 84: 

Quality of life in diabetics could be improved by integrated dynamical systems for an artificial pancreas

Jiaxu Li
University of Louisville
USA
Co-Author(s):    
Abstract:
Multi-millions of people suffer diabetes mellitus, including type 1 diabetes and type 2 diabetes, that is caused by the lack of, or relatively insufficient, insulin produced from pancreatic beta-cells. Exogenous insulin or its analogues must be daily administered to utilize and lower the chronic high glucose level, ideally, though an artificial pancreas, a medical device consisting of an insulin pump, a glucose monitoring system, and a set of closed loop control (CLC) algorithms. An effective CLC algorithm is still lacking in handling the delayed effects of insulin in delivery mechanisms, GMS and the hepatic glucose production (HGP). The timing discrepancies and dose inaccuracies often cause undesired glucose fluctuations including both hyperglycemia and dangerous hypoglycemia. We aim to formulate an integrated system, consisting of several sub dynamical system models, through which we develop and validate effective CLC algorithms for artificial pancreas with clinical data.