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Results: 1 to 20 of 103

Similar articles for PubMed (Select 20646777)

1.

Anticipating the next meal using meal behavioral profiles: a hybrid model-based stochastic predictive control algorithm for T1DM.

Hughes CS, Patek SD, Breton M, Kovatchev BP.

Comput Methods Programs Biomed. 2011 May;102(2):138-48. doi: 10.1016/j.cmpb.2010.04.011. Epub 2010 Jun 19.

2.

Run-to-run tuning of model predictive control for type 1 diabetes subjects: in silico trial.

Magni L, Forgione M, Toffanin C, Dalla Man C, Kovatchev B, De Nicolao G, Cobelli C.

J Diabetes Sci Technol. 2009 Sep 1;3(5):1091-8.

3.

Zone model predictive control: a strategy to minimize hyper- and hypoglycemic events.

Grosman B, Dassau E, Zisser HC, Jovanovic L, Doyle FJ 3rd.

J Diabetes Sci Technol. 2010 Jul 1;4(4):961-75.

4.

Overnight closed-loop insulin delivery with model predictive control: assessment of hypoglycemia and hyperglycemia risk using simulation studies.

Wilinska ME, Budiman ES, Taub MB, Elleri D, Allen JM, Acerini CL, Dunger DB, Hovorka R.

J Diabetes Sci Technol. 2009 Sep 1;3(5):1109-20.

5.

Probabilistic evolving meal detection and estimation of meal total glucose appearance.

Cameron F, Niemeyer G, Buckingham BA.

J Diabetes Sci Technol. 2009 Sep 1;3(5):1022-30.

6.

An insulin infusion advisory system based on autotuning nonlinear model-predictive control.

Zarkogianni K, Vazeou A, Mougiakakou SG, Prountzou A, Nikita KS.

IEEE Trans Biomed Eng. 2011 Sep;58(9):2467-77. doi: 10.1109/TBME.2011.2157823. Epub 2011 May 27.

PMID:
21622071
7.

Clinical update on optimal prandial insulin dosing using a refined run-to-run control algorithm.

Zisser H, Palerm CC, Bevier WC, Doyle FJ 3rd, Jovanovic L.

J Diabetes Sci Technol. 2009 May 1;3(3):487-91.

8.

Closed-loop artificial pancreas using subcutaneous glucose sensing and insulin delivery and a model predictive control algorithm: the Virginia experience.

Clarke WL, Anderson S, Breton M, Patek S, Kashmer L, Kovatchev B.

J Diabetes Sci Technol. 2009 Sep 1;3(5):1031-8.

9.

An insulin infusion advisory system for type 1 diabetes patients based on non-linear model predictive control methods.

Zarkogianni K, Mougiakakou SG, Prountzou A, Vazeou A, Bartsocas CS, Nikita KS.

Conf Proc IEEE Eng Med Biol Soc. 2007;2007:5972-5.

PMID:
18003374
10.

Closed-loop artificial pancreas using subcutaneous glucose sensing and insulin delivery and a model predictive control algorithm: preliminary studies in Padova and Montpellier.

Bruttomesso D, Farret A, Costa S, Marescotti MC, 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.

J Diabetes Sci Technol. 2009 Sep 1;3(5):1014-21.

11.

Run-to-run control of blood glucose concentrations for people with Type 1 diabetes mellitus.

Owens C, Zisser H, Jovanovic L, Srinivasan B, Bonvin D, Doyle FJ 3rd.

IEEE Trans Biomed Eng. 2006 Jun;53(6):996-1005.

PMID:
16761826
12.

In silico preclinical trials: a proof of concept in closed-loop control of type 1 diabetes.

Kovatchev BP, Breton M, Man CD, Cobelli C.

J Diabetes Sci Technol. 2009 Jan;3(1):44-55.

13.

Model identification using stochastic differential equation grey-box models in diabetes.

Duun-Henriksen AK, Schmidt S, Røge RM, Møller JB, Nørgaard K, Jørgensen JB, Madsen H.

J Diabetes Sci Technol. 2013 Mar 1;7(2):431-40.

14.

Physiologic insulin delivery with insulin feedback: a control systems perspective.

Palerm CC.

Comput Methods Programs Biomed. 2011 May;102(2):130-7. doi: 10.1016/j.cmpb.2010.06.007. Epub 2010 Aug 2. Review.

PMID:
20674062
15.

A bio-inspired glucose controller based on pancreatic β-cell physiology.

Herrero P, Georgiou P, Oliver N, Johnston DG, Toumazou C.

J Diabetes Sci Technol. 2012 May 1;6(3):606-16.

16.

Blood glucose level neural model for type 1 diabetes mellitus patients.

Alanis AY, Leon BS, Sanchez EN, Ruiz-Velazquez E.

Int J Neural Syst. 2011 Dec;21(6):491-504.

PMID:
22131301
17.

Multinational study of subcutaneous model-predictive closed-loop control in type 1 diabetes mellitus: summary of the results.

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.

J Diabetes Sci Technol. 2010 Nov 1;4(6):1374-81.

18.

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.

Schaller HC, Schaupp L, Bodenlenz M, Wilinska ME, Chassin LJ, Wach P, Vering T, Hovorka R, Pieber TR.

Diabet Med. 2006 Jan;23(1):90-3.

PMID:
16409572
19.

Closed-loop control of artificial pancreatic Beta -cell in type 1 diabetes mellitus using model predictive iterative learning control.

Wang Y, Dassau E, Doyle FJ 3rd.

IEEE Trans Biomed Eng. 2010 Feb;57(2):211-9. doi: 10.1109/TBME.2009.2024409. Epub 2009 Jun 12.

PMID:
19527957
20.

Multivariable adaptive closed-loop control of an artificial pancreas without meal and activity announcement.

Turksoy K, Bayrak ES, Quinn L, Littlejohn E, Cinar A.

Diabetes Technol Ther. 2013 May;15(5):386-400. doi: 10.1089/dia.2012.0283. Epub 2013 Apr 1.

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