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Items: 1 to 20 of 80

1.

Design of the Glucose Rate Increase Detector: A Meal Detection Module for the Health Monitoring System.

Harvey RA, Dassau E, Zisser H, Seborg DE, Doyle FJ 3rd.

J Diabetes Sci Technol. 2014 Mar;8(2):307-320.

2.

Design of the health monitoring system for the artificial pancreas: low glucose prediction module.

Harvey RA, Dassau E, Zisser H, Seborg DE, Jovanovič L, Doyle FJ.

J Diabetes Sci Technol. 2012 Nov 1;6(6):1345-54.

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.
5.

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.

6.

Inpatient trial of an artificial pancreas based on multiple model probabilistic predictive control with repeated large unannounced meals.

Cameron F, Niemeyer G, Wilson DM, Bequette BW, Benassi KS, Clinton P, Buckingham BA.

Diabetes Technol Ther. 2014 Nov;16(11):728-34. doi: 10.1089/dia.2014.0093.

7.

Use of an artificial pancreas among adolescents for a missed snack bolus and an underestimated meal bolus.

Cherñavvsky DR, DeBoer MD, Keith-Hynes P, Mize B, McElwee M, Demartini S, Dunsmore SF, Wakeman C, Kovatchev BP, Breton MD.

Pediatr Diabetes. 2016 Feb;17(1):28-35. doi: 10.1111/pedi.12230.

PMID:
25348683
8.

Fully automated closed-loop insulin delivery versus semiautomated hybrid control in pediatric patients with type 1 diabetes using an artificial pancreas.

Weinzimer SA, Steil GM, Swan KL, Dziura J, Kurtz N, Tamborlane WV.

Diabetes Care. 2008 May;31(5):934-9. doi: 10.2337/dc07-1967.

PMID:
18252903
9.

Automatic bolus and adaptive basal algorithm for the artificial pancreatic β-cell.

Wang Y, Dassau E, Zisser H, Jovanovič L, Doyle FJ 3rd.

Diabetes Technol Ther. 2010 Nov;12(11):879-87. doi: 10.1089/dia.2010.0029.

PMID:
20879966
10.

Meal Detection in Patients With Type 1 Diabetes: A New Module for the Multivariable Adaptive Artificial Pancreas Control System.

Turksoy K, Samadi S, Feng J, Littlejohn E, Quinn L, Cinar A.

IEEE J Biomed Health Inform. 2016 Jan;20(1):47-54. doi: 10.1109/JBHI.2015.2446413.

PMID:
26087510
11.

A Simplified Semiquantitative Meal Bolus Strategy Combined with Single- and Dual-Hormone Closed-Loop Delivery in Patients with Type 1 Diabetes: A Pilot Study.

Gingras V, Haidar A, Messier V, Legault L, Ladouceur M, Rabasa-Lhoret R.

Diabetes Technol Ther. 2016 Aug;18(8):464-71. doi: 10.1089/dia.2016.0043.

PMID:
27191385
12.

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.

13.

Novel insulin delivery profiles for mixed meals for sensor-augmented pump and closed-loop artificial pancreas therapy for type 1 diabetes mellitus.

Srinivasan A, Lee JB, Dassau E, Doyle FJ 3rd.

J Diabetes Sci Technol. 2014 Sep;8(5):957-68. doi: 10.1177/1932296814543660.

14.

A closed-loop artificial pancreas using model predictive control and a sliding meal size estimator.

Lee H, Buckingham BA, Wilson DM, Bequette BW.

J Diabetes Sci Technol. 2009 Sep 1;3(5):1082-90.

15.

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.

16.

Coordinated basal-bolus infusion for tighter postprandial glucose control in insulin pump therapy.

Bondia J, Dassau E, Zisser H, Calm R, Vehí J, Jovanovič L, Doyle FJ 3rd.

J Diabetes Sci Technol. 2009 Jan;3(1):89-97.

17.

Evaluating the Performance of a Novel Embedded Closed-loop System.

Leelarathna L, Thabit H, Allen JM, Nodale M, Wilinska ME, Powell K, Lane S, Evans ML, Hovorka R; on behalf of the AP@home consortium..

J Diabetes Sci Technol. 2014 Mar;8(2):267-272.

18.

In silico evaluation of an artificial pancreas combining exogenous ultrafast-acting technosphere insulin with zone model predictive control.

Lee JJ, Dassau E, Zisser H, Harvey RA, Jovanovič L, Doyle FJ 3rd.

J Diabetes Sci Technol. 2013 Jan 1;7(1):215-26.

19.

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.

20.

Optimal insulin pump dosing and postprandial glycemia following a pizza meal using the continuous glucose monitoring system.

Jones SM, Quarry JL, Caldwell-McMillan M, Mauger DT, Gabbay RA.

Diabetes Technol Ther. 2005 Apr;7(2):233-40.

PMID:
15857224
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