Knowledge-based controllers for blood glucose regulation in Type I diabetic patients by subcutaneous route

This paper presents the design methodology for Mamdani-type fuzzy logic controllers to regulate the blood glucose level in a Type I diabetic patient. The overall control strategy is based on a two-loop feedback strategy. The inner-loop provides the amount of both rapid (Lispro) and slow (NPH) insulin types that the patient has to program in a three-shoots daily basis. The combined preparation is then injected to the patient through a subcutaneous route. Meanwhile, the outer-loop adjusts the maximum amounts of insulin provided to the patient. In this way, it is pursued to optimize the amount of insulin required to maintain a normal glucose level. Both controllers were synthesized gathering information about physician treatment of diabetic patients using fuzzy logic.