Progress in development of an artificial pancreas

Journal of Diabetes Science and Technology

Volumn 3, Issue 5, 2009, Pages 1002-1004

  Klonoff, David C ^a   Cobelli, Claudio ^b   Kovatchev, Boris ^c   Zisser, Howard C ^d  

^a Mills Peninsula Health Services   (United States)

^b UNIVERSITY OF PADOVA   (Italy)

^c UNIVERSITY OF VIRGINIA   (United States)

^d SANSUM DIABETES RESEARCH INSTITUTE   (United States)

Author keywords

Algorithm; Artificial pancreas; Closed loop; Diabetes; Hypoglycemia; Insulin

Indexed keywords

ANTIDIABETIC AGENT; INSULIN;

ALGORITHM; ARTIFICIAL PANCREAS; BIOLOGICAL MODEL; BLOOD; BLOOD GLUCOSE MONITORING; DIABETES MELLITUS; DRUG EFFECT; EDITORIAL; GLUCOSE BLOOD LEVEL; HUMAN; INSULIN INFUSION; PREDICTION AND FORECASTING;

ALGORITHMS; BLOOD GLUCOSE; BLOOD GLUCOSE SELF-MONITORING; DIABETES MELLITUS; HUMANS; HYPOGLYCEMIC AGENTS; INSULIN; INSULIN INFUSION SYSTEMS; MODELS, BIOLOGICAL; PANCREAS, ARTIFICIAL; PREDICTIVE VALUE OF TESTS;

EID: 77953047552     PISSN: None     EISSN: 19322968     Source Type: Journal    
DOI: 10.1177/193229680900300502     Document Type: Conference Paper

References (18)

1. Klonoff D. The artificial pancreas: how sweet engineering will solve bitter problems. J Diabetes Sci Technol. 2007;1(1):72-81.
2. Magni L, Raimondo D, Bossi L, Dalla Man C, De Nicolao G, Kovatchev B, Cobelli C. Model predictive control of type 1 diabetes: an in silico trial. J Diabetes Sci Technol. 2007;1(6):804-12.
3. Bequette W. Analysis of algorithms for intensive care unit blood glucose control. J Diabetes Sci Technol. 2007;1(6):813-24.
4. Gillis R, Palerm C, Zisser H, Jovanovič L, Seborg D, Doyle F 3rd. Glucose estimation and prediction through meal responses using ambulatory subject data for advisory mode model predictive control. J Diabetes Sci Technol. 2007;1(6):825-33.
5. Patek S, Breton M, Chen Y, Solomon C, Kovatchev B. Linear quadratic Gaussian-based closed-loop control of type 1 diabetes. J Diabetes Sci Technol. 2007;1(6):834-41.
6. Kovatchev BP, Breton MD, Dalla Man C, Cobelli C. In silico preclinical trials: a proof of concept in closed-loop control of type 1 diabetes. J Diabetes Sci Technol. 2009;3(1):44-55.
7. Bequette W. Glucose clamp algorithms and insulin time-action profiles. J Diabetes Sci Technol. 2009;3(5):1005-13.
8. Bruttomesso D, Farret A, Costa S, Marescotti M, Vettore M, Avogaro A, Tiengo A, Dalla Man C, Place J, Facchinetti A, Guerra S, Magni L, De Nicolao G, Cobelli C, Renard E, Maran A. Closed-loop artificial pancreas using subcutaneous glucose sensing and insulin delivery, and a model predictive control algorithm: preliminary studies in Padova and Montpellier. J Diabetes Sci Technol. 2009; 3(5):1014-21.
9. Cameron F, Niemeyer G, Buckingham B. Probabilistic evolving meal detection and estimation of meal total glucose appearance. J Diabetes Sci Technol. 2009;3(5):1022-30.
10. Clarke W, Anderson S, Breton M, Patek S, Kashmer L, Kovatchev B. Closed-loop artificial pancreas using subcutaneous glucose sensing and insulin delivery, and a model-predictive control algorithm: the Virginia experience. J Diabetes Sci Technol. 2009;3(5):1031-8.
11. Hernando M, García-Sáez G, Martínez-Sarriegui I, Rodríguez-Herrero A, Pérez-Gandía C, Rigla M, de Leiva A, Capel I, Pons B, Gómez E. Automatic data processing to achieve a safe telemedical artificial pancreas. J Diabetes Sci Technol. 2009; 3(5):1039-46.
12. Kanderian S, Weinzimer S, Voskanyan G, Steil G. Identification of intraday metabolic profiles during closed-loop glucose control in individuals with type 1 diabetes. J Diabetes Sci Technol. 2009;3(5):1047-57.
13. Kovatchev B, Patek S, Dassau E, Doyle F 3rd, Magni L, De Nicolao G, Cobelli C. Control to range for diabetes: functionality and modular architecture. J Diabetes Sci Technol. 2009;3(5):1058-65.
14. Le Compte A, Chase G, Lynn A, Hann C, Shaw G, Wong X, Lin J. Blood glucose controller for neonatal intensive care: virtual trials development and first clinical trials. J Diabetes Sci Technol. 2009; 3(5):1066-81.
15. Lee H, Buckingham B, Wilson D, Bequette W. A closed-loop artificial pancreas using model predictive control and a sliding meal size estimator. J Diabetes Sci Technol. 2009; 3(5):1082-90.
16. Magni L, Forgione M, Toffanin C, Dalla Man C, Kovatchev B, De Nicolao G, Cobelli C. Run-to-run tuning of model predictive control for type 1 diabetes subjects: in silico trial. J Diabetes Sci Technol. 2009; 3(5):1091-8.
17. Wang Y, Percival M, Dassau E, Zisser H, Jovanovič L, Doyle F 3rd. A novel adaptive basal therapy based on the value and rate of change of blood glucose. J Diabetes Sci Technol. 2009;3(5):1099-1108.
18. Wilinska M, Budiman E, Taub M, Elleri D, Allen J, Acerini C, Dunger D, Hovorka R. Overnight closed-loop insulin delivery with model predictive control: assessment of hypoglycemia and hyperglycemia risk using simulation studies. J Diabetes Sci Technol. 2009;3(5):1109-1120.