Fault Detection, Zone MPC and DiAs System in T1D (ZoneMPC)
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|ClinicalTrials.gov Identifier: NCT02773875|
Recruitment Status : Unknown
Verified May 2016 by B. Wayne Bequette, Rensselaer Polytechnic Institute.
Recruitment status was: Not yet recruiting
First Posted : May 16, 2016
Last Update Posted : May 16, 2016
Rensselaer Polytechnic Institute
University of Colorado, Denver
University of California, San Diego
University of California, Santa Barbara
Information provided by (Responsible Party):
B. Wayne Bequette, Rensselaer Polytechnic Institute
No Study Results Posted on ClinicalTrials.gov for this Study
|Recruitment Status :||Unknown|
|Estimated Primary Completion Date :||November 2016|
|Estimated Study Completion Date :||December 2016|
Publications automatically indexed to this study by ClinicalTrials.gov Identifier (NCT Number):
Howsmon DP, Baysal N, Buckingham BA, Forlenza GP, Ly TT, Maahs DM, Marcal T, Towers L, Mauritzen E, Deshpande S, Huyett LM, Pinsker JE, Gondhalekar R, Doyle FJ 3rd, Dassau E, Hahn J, Bequette BW. Real-Time Detection of Infusion Site Failures in a Closed-Loop Artificial Pancreas. J Diabetes Sci Technol. 2018 May;12(3):599-607. doi: 10.1177/1932296818755173. Epub 2018 Feb 1.
Forlenza GP, Deshpande S, Ly TT, Howsmon DP, Cameron F, Baysal N, Mauritzen E, Marcal T, Towers L, Bequette BW, Huyett LM, Pinsker JE, Gondhalekar R, Doyle FJ 3rd, Maahs DM, Buckingham BA, Dassau E. Application of Zone Model Predictive Control Artificial Pancreas During Extended Use of Infusion Set and Sensor: A Randomized Crossover-Controlled Home-Use Trial. Diabetes Care. 2017 Aug;40(8):1096-1102. doi: 10.2337/dc17-0500. Epub 2017 Jun 5. Erratum in: Diabetes Care. 2017 Sep 8;:.