Artificial pancreas: Model predictive control design from clinical experience

Journal of Diabetes Science and Technology

Volumn 7, Issue 6, 2013, Pages 1470-1483

  Toffanin, Chiara ^a   Messori, Mirko ^a   Di Palma, Federico ^a   De Nicolao, Giuseppe ^a   Cobelli, Claudio ^b   Magni, Lalo ^a  

^a UNIVERSITY OF PAVIA   (Italy)

^b UNIVERSITY OF PADOVA   (Italy)

Author keywords

Artificial pancreas; Closed loop control; Glucose regulations; Meal compensation; Model predictive control

Indexed keywords

GLUCOSE; INSULIN;

ARTIFICIAL PANCREAS; BLOOD GLUCOSE MONITORING; COMPUTER MODEL; CONFERENCE PAPER; HUMAN; INSULIN DEPENDENT DIABETES MELLITUS; INSULIN PUMP; OUTPATIENT; SENSOR; SIMULATOR;

ALGORITHMS; BLOOD GLUCOSE; COMPUTER SIMULATION; DIABETES MELLITUS, TYPE 1; HUMANS; INSULIN; ITALY; LINEAR MODELS; MODELS, BIOLOGICAL; OUTPATIENTS; PANCREAS, ARTIFICIAL; TIME FACTORS; UNITED STATES;

EID: 84898956772     PISSN: None     EISSN: 19322968     Source Type: Journal    
DOI: 10.1177/193229681300700607     Document Type: Article

References (40)

1. Steil GM, Rebrin K, Darwin C, Hariri F, Saad MF. Feasibility of automating insulin delivery for the treatment of type 1 diabetes. Diabetes. 2006;55(12):3344-50.
2. Hovorka R, Canonico V, Chassin LJ, Haueter U, Massi-Benedetti M, Orsini Federici M, Pieber TR, Schaller HC, Schaupp L, Vering T, Wilinska ME. Nonlinear model predictive control of glucose concentration in subjects with type 1 diabetes. Physiol Meas. 2004;25(4):905-20.
3. Weinzimer SA, Steil GM, Swan KL, Dziura J, Kurtz N, Tamborlane WV. Fully automated closed-loop insulin delivery versus semiautomated hybrid control in pediatric patients with type 1 diabetes using an artificial pancreas. Diabetes Care. 2008;31(5):934-9.
4. Hovorka R, Allen JM, Elleri D, Chassin LJ, Harris J, Xing D, Kollman C, Hovorka T, Larsen AM, Nodale M, De Palma A, Wilinska ME, Acerini CL, Dunger DB. Manual closed-loop insulin delivery in children and adolescents with type 1 diabetes: a phase 2 randomised crossover trial. Lancet. 2010;375(9716):743-51.
5. El-Khatib FH, Russell SJ, Nathan DM, Sutherlin RG, Damiano ER. A bihormonal closed-loop artificial pancreas for type 1 diabetes. Sci Transl Med. 2010;2(27):27ra27.
6. Kovatchev B, Cobelli C, Renard E, Anderson S, Breton M, Patek S, Clarke W, Bruttomesso D, Maran A, Costa S, Avogaro A, Dalla Man C, Facchinetti A, Magni L, De Nicolao G, Place J, Farret A. Multinational study of subcutaneous model-predictive closed-loop control in type 1 diabetes mellitus: summary of the results. J Diabetes Sci Technol. 2010;4(6):1374-81.
7. Marchetti G, Barolo M, Jovanovic L, Zisser H, Seborg DE. An improved PID switching control strategy for type 1 diabetes. IEEE Trans Biomed Eng. 2008;55(3):857-65.
8. Parker RS, Doyle FJ 3rd, Peppas NA. A model-based algorithm for blood glucose control in type I diabetic patients. IEEE Trans Biomed Eng. 1999;46(2):148-57.
9. Magni L, Raimondo DM, Bossi L, Man CD, 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.
10. Soru P, De Nicolao G, Tofanin C, Dalla Man C, Cobelli C, Magni L; AP@home Consortium. MPC based Artificial Pancreas: Strategies for individualization and meal compensation. Ann Rev Control. 2012;36(1):118-28.
11. Bequette BW. A critical assessment of algorithms and challenges in the development of a closed-loop artificial pancreas. Diabetes Technol Ther. 2005;7(1):28-47.
12. Hovorka R. Management of diabetes using adaptive control. Int J Adapt Control Signal Process. 2005;19(5):309-25.
13. Hovorka R. Continuous glucose monitoring and closed-loop systems. Diabet Med. 2006;23(1):1-12.
14. Grosman B, Dassau E, Zisser HC, Jovanovic L, Doyle FJ 3rd. Zone model predictive control: A strategy to minimize hyper- and hypoglycemic events. J Diabetes Sci Technol. 2010;4(4):961-75.
15. Dua P, Doyle FJ 3rd, Pistikopoulos EN. Model-based blood glucose control for type 1 diabetes via parametric programming. IEEE Trans Biomed Eng. 2006;53(8):1478-91.
16. Magni L, Raimondo DM, Dalla Man C, De Nicolao G, Kovatchev BP, Cobelli C. Model predictive control of glucose concentration in type I diabetic patients: an in silico trial. Biomed Signal Process Control. 2009;4(4):338-46.
17. Magni L, Forgione M, Tofanin 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.
18. Patek SD, Magni L, Dassau E, Karvetski C, Tofanin C, De Nicolao G, Del Favero S, Breton M, Man CD, Renard E, Zisser H, Doyle FJ 3rd, Cobelli C, Kovatchev BP; International Artificial Pancreas (iAP) Study Group. Modular closed-loop control of diabetes. IEEE Trans Biomed Eng. 2012;59(11):2986-99.
19. Dassau E, Zisser H, Percival M, Grosman B, Jovanovic L, Doyle FJ 3rd. Clinical results of automated artificial pancreatic beta-cell system with unannounced meal using multi-parametric MPC and insulin-on-board. Diabetes. 2010;59(1):A94.
20. Breton M, Farret A, Bruttomesso D, Anderson S, Magni L, Patek S, Dalla Man C, Place J, Demartini S, Del Favero S, Tofanin C, Hughes-Karvetski C, Dassau E, Zisser H, Doyle FJ 3rd, De Nicolao G, Avogaro A, Cobelli C, Renard E, Kovatchev B; International Artificial Pancreas Study Group. Fully integrated artificial pancreas in type 1 diabetes: modular closed-loop glucose control maintains near normoglycemia. Diabetes. 2012;61(9):2230-7.
21. Luijf YM, DeVries JH, Zwinderman K, Leelarathna L, Nodale M, Caldwell K, Kumareswaran K, Elleri D, Allen J, Wilinska M, Evans M, Hovorka R, Doll W, Ellmerer M, Mader JK, Renard E, Place J, Farret A, Cobelli C, Del Favero S, Dalla Man C, Avogaro A, Bruttomesso D, Filippi A, Scotton R, Magni L, Lanzola G, Di Palma F, Soru P, Tofanin C, De Nicolao G, Arnolds S, Benesch C, Heinemann L; AP@home Consortium. Day and night closed loop control in adults with type 1 diabetes mellitus: a comparison of two closed loop algorithms driving continuous subcutaneous insulin infusion versus patient self management. Diabetes Care. Forthcoming.
22. Hughes CS, Patek SD, Breton MD, Kovatchev BP. Hypoglycemia prevention via pump attenuation and red-yellow-green "trafic" lights using continuous glucose monitoring and insulin pump data. J Diabetes Sci Technol. 2010;4(5):1146-55.
23. Dalla Man C, Micheletto F, Lv D, Breton M, Kovatchev BP, Cobelli C. The UVa/Padova type 1 diabetes simulator: new features. J Diabetes Sci Technol. Forthcoming.
24. Kovatchev BP, Breton MD, Dalla Man C, Cobelli C. In silico model and computer simulation environment approximating the human glucose/ insulin utilization. Food and Drug Administration Master File MAF, 1521; 2008.
25. Breton M, Kovatchev B. Analysis, modeling, and simulation of the accuracy of continuous glucose sensors. J Diabetes Sci Technol. 2008;2(5):853-62.
26. Post TM, Freijer JI, Ploeger BA, Danhof M. Extensions to the Visual Predictive Check to facilitate model performance evaluation. J Pharmacokinet Pharmacodyn. 2008;35(2):185-202.
27. Facchinetti A, Sparacino G, Cobelli C. Modeling the error of continuous glucose monitoring sensor data: critical aspects discussed through simulation studies. J Diabetes Sci Technol. 2010;4(1):4-14.
28. Facchinetti A, Del Favero S, Sparacino G, Castle J, Ward W, Cobelli C. Modeling the glucose sensor error. IEEE Trans Biomed Eng. 2013. Epub ahead of print.
29. Christiansen M, Bailey T, Watkins E, Liljenquist D, Price D, Nakamura K, Boock R, Peyser T. A new-generation continuous glucose monitoring system: improved accuracy and reliability compared with a previous-generation system. Diabetes Technol Ther. 2013;15(10):881-8.
30. Attia N, Jones TW, Holcombe J, Tamborlane WV. Comparison of human regular and lispro insulins after interruption of continuous subcutaneous insulin infusion and in the treatment of acutely decompensated IDDM. Diabetes Care. 1998;21(5):817-21.
31. Zisser H. Quantifying the impact of a short-interval interruption of insulin-pump infusion sets on glycemic excursions. Diabetes Care. 2008;31(2):238-9.
32. Gentili M, Caltabiano D, Sannino R, Tofanin C, Di Palma F, Magni L, Lane S. Embedded implementation of modular closed-loop control of diabetes and in silico validation. Presented at 15th International Conference on e-Health Networking, Application, and Services, IEEE Healthcom'13, October 9-12, 2013, Lisbon, Portugal.
33. Welch BL. The generalization of "Student's" problem when several diferent population variances are involved. Biometrika. 1947;34(1-2):28-35.
34. Gibbons JD. Nonparametric statistical inference. 2nd ed. New York: Marcel Dekker; 1985.
35. Lilliefors HW. On the Kolmogorov-Smirnov test for the exponential distribution with mean unknown. J Am Stat Assoc. 1969;64(325):387-9.
36. Magni L, Raimondo DM, Man CD, Breton M, Patek S, Nicolao GD, Cobelli C, Kovatchev BP. Evaluating the eficacy of closed-loop glucose regulation via control-variability grid analysis. J Diabetes Sci Technol. 2008;2(4):630-5.
37. Keith-Hynes P, Guerlain S, Mize B, Hughes-Karvetski C, Khan M, McElwee-Malloy M, Kovatchev BP. DiAs user interface: a patient-centric interface for mobile artificial pancreas systems. J Diabetes Sci Technol. 2013;7(6):1416-26.
38. Kovatchev B, Cobelli C, Renard E, Zisser H; International Artificial Pancreas Study Group. Efficacy of outpatient closed-loop control (CLC). Presented at the 73nd Scientific Sessions of the American Diabetes Association, June 21-25, 2013, Chicago, IL.
39. Cobelli C, Renard E, Kovatchev BP, Keith-Hynes P, Ben Brahim N, Place J, Del Favero S, Breton M, Farret A, Bruttomesso D, Dassau E, Zisser H, Doyle FJ 3rd, Patek SD, Avogaro A. Pilot Studies of wearable outpatient artificial pancreas in type 1 diabetes. Diabetes Care. 2012;35(9):e65-7.
40. Kovatchev BP, Renard E, Cobelli C, Zisser HC, Keith-Hynes P, Anderson SM, Brown SA, Chernavvsky DR, Breton MD, Farret A, Pelletier MJ, Place J, Bruttomesso D, Del Favero S, Visentin R, Filippi A, Scotton R, Avogaro A, Doyle FJ 3rd. Feasibility of outpatient fully integrated closed-loop control: first studies of wearable artificial pancreas. Diabetes Care. 2013;36(7):1851-8.