Modeling and control of diabetes: Towards the Artificial Pancreas

IFAC Proceedings Volumes (IFAC-PapersOnline)

Volumn 44, Issue 1 PART 1, 2011, Pages 7092-7101

  De Nicolao, Giuseppe ^a   Magni, Lalo ^a   Dalla Man, Chiara ^b   Cobelli, Claudio ^b  

^a UNIVERSITY OF PAVIA   (Italy)

^b UNIVERSITY OF PADOVA   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL ORGANS; GLUCOSE;

ARTIFICIAL PANCREAS; CONTROL ISSUES; CONTROLLER TUNING; GLUCOSE CONTROL; IN-SILICO; LARGE SCALE SIMULATIONS; LAYERED ARCHITECTURE; MODELING AND CONTROL;

CONTROLLERS;

EID: 84866763143     PISSN: 14746670     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3182/20110828-6-IT-1002.03036     Document Type: Conference Paper

References (68)

1. Andreassen S., J. J. Benn, R. Hovorka, K. G. Olesen, E. R. Carson (1994). A probabilistic approach to glucose prediction and insulin dose adjustment: description of metabolic model and pilot evaluation study. Comput Methods Programs Biomed. 41, 153-65.
2. Arleth T., S. Andreassen, M. Orsini-Federici, A. Timi. M. Massi-Benedetti (2000). A Model of Glucose Absorption From Mixed Meals, IFAC Proceedings, Karlsburg/Greifswald, Germany. 331-336.
3. Basu R., C. Dalla Man, M. Campioni, A. Basu, G. Klee, G.Jenkins, G.Toffolo, C.Cobelli, R.A. Rizza (2006). Effect of age and sex on postprandial glucose metabolism: difference in glucose turnover, insulin secretion, insulin action, and hepatic insulin extraction. Diabetes. 55, 2001-14.
4. Bequette BW (2005). A critical assessment of algorithms and challenges in the development of a closed-loop artificial pancreas. Diabetes Technol Ther. 7:28-47.
5. Bergman R.N., C. Cobelli (1980). Minimal modeling, partition analysis, and the estimation of insulin sensitivity. Fed Proc. 39:110-15.
6. Bruttomesso D., A. Farret, S. Costa, M. C. Marescotti, M. Vettore, A. Avogaro, A. Tiengo, C. Dalla Man, J. Place, A. Facchinetti, S. Guerra, L. Magni, G. De Nicolao, C. Cobelli, E. Renard, A. Maran (2009). Closed-Loop Artificial Pancreas Using Subcutaneous Glucose Sensing & Insulin Delivery, and a Model Predictive Control Algorithm: Preliminary Studies in Padova and Montpellier. J Diabetes Sci Technol. 3, Issue 5, 1014-1021
7. Buckingham B., E. Cobry, P. Clinton, V. Gage, K. Caswell, E. Kunselman, F. Cameron, and H.P. Chase (2009). Preventing hypoglycemia using predictive alarm algorithms and insulin pump suspension. Diabetes Technol Ther. 11(2), pp. 93-97.
8. Cameron F., G. Niemeyer and B. A. Buckingham (2009). Probabilistic Evolving Meal Detection and Estimation of Meal Total Glucose Appearance. J Diabetes Sci Technol. 3, Issue 5, 1022-1030.
9. Carson E. R. and C. Cobelli (2001). Modelling Methodology for Physiology and Medicine. Academic Press, San Diego.
10. Cengiz E., K. L. Swan, W. V. Tamborlane, G. M. Steil, A. T. Steffen and S. A. Weinzimer (2009). Is an Automatic Pump Suspension Feature Safe for Children with Type 1 Diabetes? An Exploratory Analysis with Closed-Loop System. Diabetes Technol Ther., 11, 4, 207-210.
11. Clarke W.L., D.J. Cox, L.A. Gonder-Frederick, D.M. Julian, B.P. Kovatchev, and D. Young-Hyman (1999). The biopsychobehavioral model of severe hypoglycemia II: Selfmanagement behaviors. Diabetes Care, vol. 22, pp. 580-584.
12. Clarke W.L., S. M. Anderson, M. D. Breton, S. D. Patek, L. Kashmer, and B. P. Kovatchev (2009a). Closed-Loop Artificial Pancreas Using Subcutaneous Glucose Sensing and Insulin Delivery and a Model Predictive Control Algorithm: The Virginia Experience, J Diabetes Sci Technol, 3, 5, 1031-1038
13. Clarke W.L and B.P. Kovatchev (2009b). Statistical Tools to Analyze CGM Data. Diabetes Technol Ther., 11: S45-S54.
14. Cobelli C., G. Federspil, G. Pacini, A. Salvan, C. Scandellari (1982). An integrated mathematical model of the dynamics of blood glucose and its hormonal control. Math. Biosci. 58, 27-60.
15. Cobelli C., A. Mari (1983). Validation of mathematical models of complex endocrine-metabolic systems: a case study on a model of glucose regulation. Med. Biol. Eng. Comput. 21, 390-399.
16. Cobelli C., C. Dalla Man, G. Sparacino, L. Magni, G. De Nicolao and B. Kovatchev: "Diabetes: models, signals and control", IEEE Rev Biomed Eng., 2, 54-96, 2009.
17. Cox D.J., L.A. Gonder-Frederick, B.P. Kovatchev, D. Young-Hyman, D. Schlundt, D.M. Julian, and W.L. Clarke (1999). Bio-Psycho-Behavioral Model of Severe Hypoglycemia: II Understanding Causes of Severe Hypoglycemia,. Diabetes Care, vol. 22, pp. 2018-2025.
18. Dalla Man C., R.A. Rizza, C. Cobelli (2007a). Meal simulation model of the glucose-insulin system. IEEE Trans Biomed Eng. 54, 1740-9.
19. Dalla Man C., D. M. Raimondo, R.A. Rizza, and Cobelli C (2007b). GIM, Simulation Software of Meal Glucose-Insulin Model. J Diabetes Sci Technol., 1, 323-330.
20. Dalla Man C., C. Cobelli. (2009). A Pre & Type 2 Diabetes Simulator for In Silico Trials. Proc. of the Ninth Diabetes Technology Meeting, San Francisco, CA.
21. Dalla Man C., D.Nandy, A.Faraq, J.Levine, A.Bharucha, R.A.Rizza, R.Basu R., Y.C. Kudva, C.Cobelli, A.Basu (2010). Assessment of Circadian Variation of Postprandial Glucose Turnover Using Triple Tracer Technique. Tenth Diabetes Technology Meeting, Bethesda.
22. Dassau E., B. A. Buckingham, B. W. Bequette and F. J. Doyle III (2008). Detection of a meal using continuous glucose monitoring: Implications for an artificial B-cell. Diabetes Care, 31, 2, 295-300.
23. Dua P., F. J. Doyle III and E. N. Pistikopoulos (2006). Modelbased blood glucose control for type 1 diabetes via parametric programming. IEEE Trans Biomed Eng., 53, 1478-1491.
24. El-Khatib F.H., J. Jiang, E. R. Damiano (2007). Adaptive closed-loop control provides blood glucose regulation using dual subcutaneous insulin and glucagon infusion in diabetic swine. J Diabetes Sci Technol., 1:181-192.
25. El-Khatib F. H., J. Jiang, E. R. Damiano (2009). A Feasibility study of bihormonal closed-loop blood glucose control using dual subcutaneous infusion of insulin and glucagon in ambulatory diabetic swine. J Diabetes Sci Technol., 3, 4, 789-803.
26. F. H. El-Khatib, S. J. Russell, D. M. Nathan, R. G. Sutherlin, and E. R. Damiano (2010). A bihormonal closed-loop artificial pancreas for type 1 diabetes. Sci Transl Med., 1-12.
27. Ellingsen C., E. Dassau, H. Zisser, B. Grosman, M. W. Percival, L. Jovanovic, F. J. Doyle III (2009). Safety Constraints in an Artificial Pancreas Beta Cell: An Implementation of Model-Predictive Control with Insulin on Board. J Diabetes Sci Technol., 3: 536-544.
28. Finan D.A., C. C. Palerm, F. J. Doyle III, D. E. Seborg, H. Zisser, W. C. Bevier, L. Jovanovic (2009). Effect of Input Excitation on the Quality of Empirical Dynamic Models for Type 1 Diabetes. AIChE J, 55: 1135-1146.
29. Gillis R., C. C. Palerm, H. Zisser, L. Jovanovic, D. E. Seborg and F. J. Doyle (2007). Glucose Estimation and Prediction through Meal Responses Using Ambulatory Subject Data for Advisory Mode Model Predictive Control, J Diabetes Sci Technol., 1, 6, 825-833.
30. Galvanin F., M. Barolo, S. Macchietto and F. Bezzo (2009). Optimal Design of Clinical Tests for the Identification of Physiological models of Type 1 diabetes mellitus, Ind. Eng. Ch.m. Res., 48, 4, 1989-2002. (2009).
31. Gonder-Frederick L.A., D.J. Cox, B.P. Kovatchev, D. Schlundt, and W.L. Clarke (1997). Biopsychobehavioral model of risk of severe hypoglycaemia. Diabetes Care, vol. 20, pp. 661-669.
32. Hovorka R., V. Canonico, L.J. Chassin, U. Haueter, M. Massi-Benedetti, M. Orsini Federici, T.R. Pieber, H.C. Schaller, L. Schaupp, T. Vering, M.E. Wilinska (20042004a). Nonlinear model predictive control of glucose concentration in subjects with type 1 diabetes. Physiol Meas. 25,905-20.
33. Hovorka R., L. J. Chassin, M. E. Wilinska, V. Canonico, J. A. Akwi, M. O. Federici, M. Massi-Benedetti, I. Hutzli, C. Zaugg, H. Kaufmann, M. Both, T. Vering, H. C. Schaller, L. Schaupp, M. Bodenlenz and T. R. Pieber, (2004b). Closing the Loop: The Adicol Experience, Diabetes Technol Ther., 8, 3, 307-318.
34. Hovorka R (2005). Continuous glucose monitoring and closed-loop systems. Diabetic Med., 23, 1-12.
35. Hovorka R., Chassin L.J., Ellmerer M., Plank J., Wilinska M.E. (2008). A simulation model of glucose regulation in the critically ill. Physiol Meas.;29:959-978.
36. Hovorka R., J. M. Allen, D. Elleri, L. J. Chassin, J. Harris, D. Xing, C. Kollman, T. Hovorka, A. M. F Larsen, M. Nodale, A. De Palma, M. E. Wilinska, C. L. Acerini, and D. B. Dunger (2010). Manual closed-loop insulin delivery in children and adolescents with type 1 diabetes: a phase 2 randomised crossover trial. The Lancet, 375(9716):743-751.
37. Kovatchev B.P., D.J. Cox, L.A. Gonder-Frederick, D. Schlundt, and W.L. Clarke, (1998). Stochastic model of self-regulation decision making exemplified by decisions concerning hypoglycaemia. J Health Psychol, vol. 17, pp. 277-284.
38. Kovatchev B.P., M.D. Breton, C. Dalla Man, C. Cobelli (2008). In Silico model and computer simulation environment approximating the human glucose/insulin utilization. Food and Drug Administration Master File MAF 1521.
39. Kovatchev B.P, M. Breton, C. Dalla Man, C. Cobelli (2009a). In Silico Preclinical Trials: A Proof of Concept in Closed-Loop Control of Type 1 Diabetes. J Diabetes Sci Technol.; 3: 44-55
40. Kovatchev B.P., S. Patek, E. Dassau, F. J. Doyle III, L. Magni, G. De Nicolao and C. Cobelli (2009b). Control-torange for diabetes functionality and modular architecture. J Diabetes Sci Technol., 3, Issue 5, 1058-1065.
41. Kovatchev B.P., S. Anderson, M. Breton, S. Patek, W. Clarke, D. Bruttomesso, A. Maran, S. Costa, A. Avogaro, C. Dalla Man, A. Facchinetti, S. Guerra, L. Magni, D. M. Raimondo, G. De Nicolao, E. Renard, and C. Cobelli (2009c). Personalized Subcutaneous Model-Predictive Closed-Loop Control of T1DM: Pilot Studies in the USA and Italy", Diabetes, 58, A60-A60, Suppl. 1.
42. Lee H., B. A. Buckingham, D. M. Wilson and B. W. Bequette (2009). A closed-loop artificial pancreas using model predictive control and a sliding meal size estimation", J Diabetes Sci Technol., 3, Issue 5, 1082-1090.
43. Lehmann E. D., T. Deutsch (1992). A physiological model of glucose-insulin interaction in type 1 diabetes mellitus. J Biomed Eng. 14, 235-42.
44. Magni L., D. M. Raimondo, L. Bossi, C. Dalla Man, G. De Nicolao, B. Kovatchev and C. Cobelli (2007). Model Predictive Control of Type 1 Diabetes: An in Silico Trial. J Diabetes Sci Technol., 1, 804-812.
45. Magni L., D. M. Raimondo, C. Dalla Man, M. Breton, S. Patek, G. De Nicolao, C. Cobelli, B. Kovatchev (2008). Evaluating the efficacy of closed-loop glucose regulation via Control-Variability Grid Analysis (CVGA). J Diabetes Sci Technol., 2, 630-635.
46. Magni, M. Forgione, C. Toffanin, C. Dalla Man, G. De Nicolao, B. Kovatchev and C. Cobelli (2009a). Run-to-Run Tuning of Model Predictive Control for Type I Diabetic Subjects: an in silico trial. J Diabetes Sci Technol., 3, Issue 5, 1091-1098.
47. Magni L., D. M. Raimondo, F. Allgower (Eds) (2009b): Nonlinear model predictive control: Towards new challenging applications, Springer Lecture Notes in Control and Information Sciences series, vol. 384.
48. Magni L., D. M. Raimondo, C. Dalla Man, G. De Nicolao, B. Kovatchev, C. Cobelli (2009c) Model Predictive Control of glucose concentration in type I diabetec patients: an in silico trial", Biomed Signal Process Contr., 4, 338-346.
49. Marchetti G., M. Barolo, L. Jovanovic, H. Zisser, D. E. Seborg (2008) An improved PID switching control strategy for type 1 diabetes. IEEE Trans Biomed Eng., 55, 3, 857-865.
50. Mazor E., A. Averbuch, Y. Bar-Shalom and J. Dayan (1998). Interacting multiple model methods in target tracking: a survey. IEEE Trans. Aerosp. Electron. Syst., 34: 103-123.
51. Moyne J., E. del Castillo, A.M. Hurwitz (2001). Run-to-Run Control in Semiconductor Manufacturing, CRC Press, Boca Raton, Florida.
52. Palerm C.C., J. P. Willis, J. Desemone and B. W. Bequette, (2005). Hypoglycemia prediction and detection using optimal estimation. Diabetes Technol Ther., 7, 1, 3-15.
53. Palerm C. C., H. Zisser, L. Jovanovic and F. J. Doyle III (2007).A run-to-run framework for prandial insulin dosing: handling real-life uncertainty. Int. J. Robust Nonlin., vol. 17, no. 13, pp. 1194-1213.
54. Palerm C. C., H. Zisser, L. Jovanovic and F. J. Doyle III, (2008). A run-to-run control strategy to adjust basal insulin infusion rates in type 1 diabetes. J. Process Contr., vol. 18, no. 3-4, pp. 258-265.
55. Palerm C.C. and B. W. Bequette (2009). Hypoglycemia detection and prediction using continuous monitoring - A study on hypoglycaemic clamp data. J Diabetes Sci Technol., 1, Issue 5, 624-629.
56. Parker, R. S., F. J. Doyle III and N. A. Peppas (1999). A model-based algorithm for blood glucose control in Type I diabetic patients. IEEE Trans Biomed Eng., 46, 148-157.
57. Patek S.D., M. D. Breton, Y. Chen, C. Solomon, B. Kovatchev (2007). Linear quadratic gaussian-based closedloop control of type 1 diabetes. J Diabetes Sci Technol., 1(6):834-841.
58. Patek S.D., B. W. Bequette, M. Breton, B. A. Buckingham, E. Dassau, F. J. Doyle III, J. Lum, L. Magni, and H. Zisser (2009a). In Silico Preclinical Trials: Methodology and Engineering Guide to Closed-Loop Control in T1DM. J Diabetes Sci Technol., 3, Issue 2, 269-282.
59. Patek S. D., M. D. Breton, C. Hughes, B. P. Kovatchev (2009b). Control of Hypoglycemia via Estimation of Active Insulin, Glucose Forecasts, and Risk-Based Insulin Reduction. Proc. 2nd Advanced Technology & Treatment for Diabetes, Athens, Greece.
60. Salzsieder E., G. Albrecht, U. Fischer, E. J. Freys (1985). Kinetic modeling of the glucoregulatory system to improve insulin therapy. IEEE Trans Biomed Eng. 32, 846-55.
61. Schaller H. C., L. Schaupp, M. Bodenlenz, M. E. Wilinska, L. J. Chassin, P. Wach, T. Vering, R. Hovorka and T. R. Pieber (2006) On-line adaptive algorithm with glucose prediction capacity for subcutaneous closed loop control of glucose: evaluation under fasting conditions in patients with Type 1 diabetes, Diabetic Med., 23, 90-93.
62. Srinivasan R., A.H. Kadish, R.Sridhar (1970). A mathematical model for the control mechanism of free fatty acid-glucose metabolism in normal humans. Comput Biomed. Res. 3, 146-166.
63. Wang Y., E. Dassau and F. J. Doyle III (2010). Closed-loop control of artificial pancreatic B-cell in Type 1 diabetes mellitus using model predictive iterative learning control", IEEE Trans. Biomed. Eng., to appear.
64. Wilinska M.E., L. J. Chassin and R. Hovorka (2008). In Silico Testing-Impact on the progress of the closed loop insulin infusion for critical ill patient project, J Diabetes Sci Technol., 2, 3, 417-423.
65. Wilinska M.E., E. S. Budiman, M. B. Taub, D. Elleri, J. M. Allen, C. L. Acerini, D. B. Dunger, R. Hovorka (2009). Overnight Closed-Loop Insulin Delivery with Model Predictive Control:Assessment of Hypoglycemia and Hyperglycemia Risk Using Simulation Studies, J Diabetes Sci Technol., 3: 1109-1120.
66. Wilinska M. E., L. J. Chassin, C. L. Acerini, J. M. Allen, D. B. Dunger, and R. Hovorka (2010). Simulation Environment to Evaluate Closed-Loop Insulin Delivery Systems in Type 1 Diabetes, J Diabetes Sci Technol., 4: 132-144.
67. Zisser H., L. Jovanovic, F. J. Doyle III, P. Ospina and C. Owens (2005). Run-to-run control of meal-related insulin dosing," Diabetes Technol Ther., vol. 7, no. 1, pp. 48-57.
68. Zisser H., L. Robinson, W. Bevier, E. Dassau, C. Ellingsen, F. J. Doyle III, L. Jovanovic (2008). Bolus calculator: a review of four "smart" insulin pumps. Diabetes Technol Ther. 10 (6), 441-444.