Literature DB >> 25972282

Model Predictive Control for Type 1 Diabetes Based on Personalized Linear Time-Varying Subject Model Consisting of Both Insulin and Meal Inputs: An in Silico Evaluation.

Qian Wang1, JinYu Xie2, Peter Molenaar3, Jan S Ulbrecht4.   

Abstract

Entities:  

Keywords:  artificial pancreas; glucose; model predictive control; time-series model; type 1 diabetes

Mesh：

Substances：

Year:  2015        PMID： 25972282      PMCID： PMC4525652          DOI： 10.1177/1932296815586426

Source DB:  PubMed          Journal:  J Diabetes Sci Technol        ISSN： 1932-2968


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  4 in total

1.  Modeling the effects of subcutaneous insulin administration and carbohydrate consumption on blood glucose.

Authors:  Matthew W Percival; Wendy C Bevier; Youqing Wang; Eyal Dassau; Howard C Zisser; Lois Jovanovič; Francis J Doyle
Journal:  J Diabetes Sci Technol       Date:  2010-09-01

2.  Model predictive control of type 1 diabetes: an in silico trial.

Authors:  Lalo Magni; Davide M Raimondo; Luca Bossi; Chiara Dalla Man; Giuseppe De Nicolao; Boris Kovatchev; Claudio Cobelli
Journal:  J Diabetes Sci Technol       Date:  2007-11

3.  Personalized State-space Modeling of Glucose Dynamics for Type 1 Diabetes Using Continuously Monitored Glucose, Insulin Dose, and Meal Intake: An Extended Kalman Filter Approach.

Authors:  Qian Wang; Peter Molenaar; Saurabh Harsh; Kenneth Freeman; Jinyu Xie; Carol Gold; Mike Rovine; Jan Ulbrecht
Journal:  J Diabetes Sci Technol       Date:  2014-03-24

4.  Closed-loop artificial pancreas systems: physiological input to enhance next-generation devices.

Authors:  Yogish C Kudva; Rickey E Carter; Claudio Cobelli; Rita Basu; Ananda Basu
Journal:  Diabetes Care       Date:  2014       Impact factor: 19.112
  4 in total

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