Title :
Challenges and progress in the development of a closed-loop artificial pancreas
Author :
Bequette, B. Wayne
Author_Institution :
Rensselaer Polytech. Inst., Troy, NY, USA
Abstract :
Pursuit of a closed-loop artificial pancreas that automatically controls the blood glucose of individuals with type 1 diabetes has intensified during the past six years. Here we discuss the progress and challenges in the major steps towards a closed-loop system. Continuous insulin infusion pumps have been widely available for over two decades, but “smart pump” technology has made the devices easier to use and more powerful. Continuous glucose monitoring (CGM) technology has improved and the devices are more widely available. A number of approaches are currently under study for fully closed-loop systems; most manipulate only insulin, while others manipulate insulin and glucagon. Algorithms include on-off (for prevention of overnight hypoglycemia), proportional-integral-derivative (PID), model predictive control (MPC) and fuzzy logic based learning control. Meals cause the major “disturbance” to blood glucose, and we focus on approaches that our group has developed to predict when a meal is likely to be consumed and its effect.
Keywords :
biochemistry; biomedical equipment; blood; closed loop systems; diseases; fuzzy control; learning systems; medical control systems; patient monitoring; predictive control; sugar; three-term control; CGM; MPC; PID control; automatically blood glucose control; closed loop artificial pancrea; continuous glucose monitoring; continuous insulin infusion pump; fuzzy logic; glucagon; learning control; model predictive control; proportional-integral-derivative; smart pump technology; type 1 diabetes; Blood; Diabetes; Insulin; Pancreas; Prediction algorithms; Sensors; Sugar;
Conference_Titel :
American Control Conference (ACC), 2012
Conference_Location :
Montreal, QC
Print_ISBN :
978-1-4577-1095-7
Electronic_ISBN :
0743-1619
DOI :
10.1109/ACC.2012.6315593