Page 315 - Glucose Monitoring Devices

322 CHAPTER 15 Automated closed-loop insulin delivery

FIGURE 15.8
A diagram of the various components and modules of an mAP system.

References
[1] Thabit H, Hovorka R. Coming of age: the artificial pancreas for type 1 diabetes. Diabe-
tologia 2016;59(9):1795e805.
[2] Reddy M, et al. Metabolic control with the bio-inspired artificial pancreas in adults with
type 1 diabetes: a 24-hour randomized controlled crossover study. Journal of Diabetes
Science and Technology 2015;10(2):405e13.
[3] Breton MD. Physical activity-the major unaccounted impediment to closed loop
control. Journal of Diabetes Science and Technology 2008;2(1):169e74.
[4] Riddell M, Perkins BA. Exercise and glucose metabolism in persons with diabetes mel-
litus: perspectives on the role for continuous glucose monitoring. Journal of Diabetes
Science and Technology 2009;3(4):914e23.
[5] Galassetti P, Riddell MC. Exercise and type 1 diabetes (T1DM). Comparative Physi-
ology 2013;3(3):1309e36.
[6] Zecchin C, et al. Physical activity measured by physical activity monitoring system cor-
relates with glucose trends reconstructed from continuous glucose monitoring. Diabetes
Technology and Therapeutics 2013;15(10):836e44.
[7] Dassau E, Bequette BW, Buckingham B a, Doyle III FJ. Detection of a meal using
continuous glucose monitoring. Diabetes Care 2008;31(2):295e300.
[8] Clarke WL, Anderson S, Breton M, Patek S, Kashmer L, Kovatchev B. Closed-loop arti-
ficial pancreas using subcutaneous glucose sensing and insulin delivery and a model
predictive control algorithm: the Virginia experience. Journal of Diabetes Science
and Technology 2009;3(5):1031e8.
[9] Steil GM, et al. The effect of insulin feedback on closed loop glucose control. The Jour-
nal of Cinical Endocrinology and Metabolism 2011;96(5):1402e8.