Artificial neural networks for closed loop control of in silico and ad hoc type 1 diabetes
- 16 December 2011
- journal article
- research article
- Published by Elsevier in Computer Methods and Programs in Biomedicine
- Vol. 106 (1) , 55-66
- https://doi.org/10.1016/j.cmpb.2011.11.006
Abstract
No abstract availableKeywords
This publication has 36 references indexed in Scilit:
- Feedforward–feedback multiple predictive controllers for glucose regulation in type 1 diabetesComputer Methods and Programs in Biomedicine, 2010
- Closed-Loop Artificial Pancreas Using Subcutaneous Glucose Sensing and Insulin Delivery and a Model Predictive Control Algorithm: The Virginia ExperienceJournal of Diabetes Science and Technology, 2009
- A Review of Closed-Loop Algorithms for Glycemic Control in the Treatment of Type 1 DiabetesAlgorithms, 2009
- In Silico Evaluation Platform for Artificial Pancreatic β-Cell Development—A Dynamic Simulator for Closed-Loop Control with Hardware-in-the-LoopDiabetes Technology & Therapeutics, 2009
- A feedforward–feedback glucose control strategy for type 1 diabetes mellitusJournal of Process Control, 2007
- A tutorial on biomedical process controlJournal of Process Control, 2007
- A Critical Assessment of Algorithms and Challenges in the Development of a Closed-Loop Artificial PancreasDiabetes Technology & Therapeutics, 2005
- The Challenge of Type 1 Diabetes MellitusILAR Journal, 2004
- Closed-loop insulin delivery—the path to physiological glucose controlAdvanced Drug Delivery Reviews, 2003
- Insulin Pump TherapyDiabetes Care, 2003