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GLUCOSE MODELING AND CONTROL

Glucose Modeling and Control

The long-term goal of this research is to contribute to the development of an “artificial pancreas.” To this end, we are developing algorithms that, when integrated with continuous glucose monitoring systems, allow for proactive interventions (i.e., adjustment of insulin delivery or intake of glucose) to prevent undesirable hypo- and hyper-glycemic episodes.

Publications

Laxminarayan, S., J. Reifman, S. S. Edwards, H. Wolpert, and G. M. Steil. Bolus estimation - rethinking the effect of meal fat content. Diabetes Technology and Therapeutics. 2015 December; 17(12):860-866. [PDF]

Laxminarayan, S., J. Reifman, and G. M. Steil. Use of a food and drug administration-approved type 1 diabetes mellitus simulator to evaluate and optimize a proportional-integral-derivative controller. Journal of Diabetes Science and Technology. 2012 November; 6(6):1401-1412. [PDF]

Lu, Y., S. Rajaraman, W. K. Ward, R. A. Vigersky, and J. Reifman. Predicting human subcutaneous glucose concentration in real time: a universal data-driven approach. Proceedings of the 33rd IEEE EMBS Annual International Conference. Boston, MA. 2011 August 30-September 3; 7945-7948. [PDF]

Steil, G. M., B. Hipszer, and J. Reifman. Update on mathematical modeling research to support the development of automated insulin delivery systems. Journal of Diabetes Science and Technology. 2010 May; 4(3):759-769. [PDF]

Lu, Y., A. V. Gribok, W. K. Ward, and J. Reifman. The importance of different frequency bands in predicting subcutaneous glucose concentration in type 1 diabetic patients. IEEE Transactions on Biomedical Engineering. 2010 April 15; 57(8):1839-1846. [PDF]

Gani, A., A. V. Gribok, Y. Lu, W. K. Ward, R. A. Vigersky, and J. Reifman. Universal glucose models for predicting subcutaneous glucose concentration in humans. IEEE Transactions on Information Technology in Biomedicine. 2010 January; 14(1):157-165. [PDF]

Steil, G. M., and J. Reifman. Mathematical modeling research to support the development of automated insulin-delivery systems. Journal of Diabetes Science and Technology. 2009 March; 3(2):388-395. [PDF]

Gani, A., A. V. Gribok, S. Rajaraman, W. K. Ward, and J. Reifman. Predicting subcutaneous glucose concentration in humans: data-driven glucose modeling. IEEE Transactions on Biomedical Engineering. 2009 February; 56(2):246-254. [PDF]

Reifman, J., S. Rajaraman, A. Gribok, and W. K. Ward. Predictive Monitoring for improved management of glucose levels. Journal of Diabetes Science and Technology. 2007 July; 1(4):478-486. [PDF]