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An Insulin Infusion Advisory System Based on Autotuning Nonlinear Model-Predictive Control

K. Zarkogianni, A. Vazeou, S. G. Mougiakakou, A. Prountzou, K. S. Nikita
2011 IEEE Transactions on Biomedical Engineering  
The system is based on a nonlinear model-predictive controller (NMPC) that uses a personalized glucose-insulin metabolism model, consisting of two compartmental models and a recurrent neural network.  ...  An algorithm based on fuzzy logic has been developed for the online adaptation of the NMPC control parameters.  ...  Nikita is a member of the Editorial Board of the TRANSACTIONS ON BIOMEDICAL ENGINEERING and a Guest Editor of several international journals on biomedical engineering subjects.  ... 
doi:10.1109/tbme.2011.2157823 pmid:21622071 fatcat:rgchpogh25gkbbnzphuqnbiljm

A personalised and adaptive insulin dosing decision support system for type 1 diabetes

Peter Pesl, Pantelis Georgiou
2016
The proposed research utilises Case-Based Reasoning (CBR), an artificial intelligence methodology, that is able to learn over time based on the behaviour of the patient and optimises the insulin therapy  ...  System usability and acceptability were evaluated during the second study phase based on feedback obtained from study participants.  ...  Nikita,"An insulin infusion advisory system based on autotuning nonlinear model-predictive control"IEEE Transactions on Biomedical Engineering Eng Med Biol Soc, pp. 2467-77, vol. 58,no. 9, 2011 [60] R.  ... 
doi:10.25560/39291 fatcat:a4h2vydppzejriix7tdsjaptw4