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Run-to-run control of blood glucose concentrations for people with Type 1 diabetes mellitus.
IEEE Trans Biomed Eng. 2006 Jun; 53(6):996-1005.IT

Abstract

Run-to-run control has been applied to several traditional batch processes in the chemical industry. The 24-h cycle of eating meals, measuring blood glucose concentrations, and delivering the correct insulin bolus, with the goal of achieving the optimal blood glucose profile, can be viewed in the same spirit as traditional batch processes such as emulsion polymerization. In this paper, we aim to exploit the "repetitive" nature of the insulin therapy of people with Type 1 diabetes. A run-to-run algorithm is used on a virtual diabetic patient model to control blood glucose concentrations. The insulin input is parameterized into the timing and amount of the dose while the glucose output is parameterized into the maximum and minimum glucose concentrations. Robustness of the algorithm to variations in the meal amount, meal timing, and insulin sensitivity parameter is addressed. In general, the algorithm is able to converge when the meal timing is varied within +/- 40 min. If the meal size is underestimated by approximately 10 grams (g), the algorithm is able to converge within a reasonable time frame for breakfast, lunch, and dinner. If the meal size is overestimated by 20-25 g, the algorithm is able to converge. When random variations in the meal timing and the meal amount are introduced, the variation on the output variables, Gmax and Gmin, scales according to the amount of variation allowed. Along with this, the insulin sensitivity of the virtual patient model is varied. The algorithm is robust for differences in insulin sensitivity less than +/- 50% of the nominal value.

Authors+Show Affiliations

Department of Chemical Engineering, University of Delaware, Newark 19716, USA.No affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info available

Pub Type(s)

Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

16761826

Citation

Owens, Camelia, et al. "Run-to-run Control of Blood Glucose Concentrations for People With Type 1 Diabetes Mellitus." IEEE Transactions On Bio-medical Engineering, vol. 53, no. 6, 2006, pp. 996-1005.
Owens C, Zisser H, Jovanovic L, et al. Run-to-run control of blood glucose concentrations for people with Type 1 diabetes mellitus. IEEE Trans Biomed Eng. 2006;53(6):996-1005.
Owens, C., Zisser, H., Jovanovic, L., Srinivasan, B., Bonvin, D., & Doyle, F. J. (2006). Run-to-run control of blood glucose concentrations for people with Type 1 diabetes mellitus. IEEE Transactions On Bio-medical Engineering, 53(6), 996-1005.
Owens C, et al. Run-to-run Control of Blood Glucose Concentrations for People With Type 1 Diabetes Mellitus. IEEE Trans Biomed Eng. 2006;53(6):996-1005. PubMed PMID: 16761826.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Run-to-run control of blood glucose concentrations for people with Type 1 diabetes mellitus. AU - Owens,Camelia, AU - Zisser,Howard, AU - Jovanovic,Lois, AU - Srinivasan,Bala, AU - Bonvin,Dominique, AU - Doyle,Francis J,3rd PY - 2006/6/10/pubmed PY - 2006/7/11/medline PY - 2006/6/10/entrez SP - 996 EP - 1005 JF - IEEE transactions on bio-medical engineering JO - IEEE Trans Biomed Eng VL - 53 IS - 6 N2 - Run-to-run control has been applied to several traditional batch processes in the chemical industry. The 24-h cycle of eating meals, measuring blood glucose concentrations, and delivering the correct insulin bolus, with the goal of achieving the optimal blood glucose profile, can be viewed in the same spirit as traditional batch processes such as emulsion polymerization. In this paper, we aim to exploit the "repetitive" nature of the insulin therapy of people with Type 1 diabetes. A run-to-run algorithm is used on a virtual diabetic patient model to control blood glucose concentrations. The insulin input is parameterized into the timing and amount of the dose while the glucose output is parameterized into the maximum and minimum glucose concentrations. Robustness of the algorithm to variations in the meal amount, meal timing, and insulin sensitivity parameter is addressed. In general, the algorithm is able to converge when the meal timing is varied within +/- 40 min. If the meal size is underestimated by approximately 10 grams (g), the algorithm is able to converge within a reasonable time frame for breakfast, lunch, and dinner. If the meal size is overestimated by 20-25 g, the algorithm is able to converge. When random variations in the meal timing and the meal amount are introduced, the variation on the output variables, Gmax and Gmin, scales according to the amount of variation allowed. Along with this, the insulin sensitivity of the virtual patient model is varied. The algorithm is robust for differences in insulin sensitivity less than +/- 50% of the nominal value. SN - 0018-9294 UR - https://www.unboundmedicine.com/medline/citation/16761826/Run_to_run_control_of_blood_glucose_concentrations_for_people_with_Type_1_diabetes_mellitus_ DB - PRIME DP - Unbound Medicine ER -