Model Predictive Control of blood glucose in Type 1 diabetes: The Principal Dynamic Modes approach

Markakis, MG; Mitsis, GD; Papavassilopoulos, GP; Marmarelis, VZ

dc.contributor.author	Markakis, MG	en
dc.contributor.author	Mitsis, GD	en
dc.contributor.author	Papavassilopoulos, GP	en
dc.contributor.author	Marmarelis, VZ	en
dc.date.accessioned	2014-03-01T02:45:35Z
dc.date.available	2014-03-01T02:45:35Z
dc.date.issued	2008	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/32305
dc.subject	Blood Glucose	en
dc.subject	Model Predictive Control	en
dc.subject	type 1 diabetes	en
dc.subject.other	Blood glucose	en
dc.subject.other	Computational studies	en
dc.subject.other	Computationally efficient	en
dc.subject.other	Disturbance signals	en
dc.subject.other	Dynamic modes	en
dc.subject.other	Hypoglycaemic	en
dc.subject.other	Predictive control strategies	en
dc.subject.other	Principal dynamic modes	en
dc.subject.other	Type 1 diabetes	en
dc.subject.other	Blood	en
dc.subject.other	Glucose	en
dc.subject.other	Predictive control systems	en
dc.subject.other	Model predictive control	en
dc.title	Model Predictive Control of blood glucose in Type 1 diabetes: The Principal Dynamic Modes approach	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/IEMBS.2008.4650451	en
heal.identifier.secondary	http://dx.doi.org/10.1109/IEMBS.2008.4650451	en
heal.identifier.secondary	4650451	en
heal.publicationDate	2008	en
heal.abstract	This computational study demonstrates the efficacy of regulating blood glucose in Type 1 diabetics with a Model Predictive Control strategy, utilizing a nonparametric/Principal Dynamic Modes model. For this purpose, a stochastic glucose disturbance signal is introduced and a simple methodology for predicting its future values is developed. The results of our simulations confirm that the proposed algorithm achieves very good performance, is computationally efficient and avoids hypoglycaemic events. © 2008 IEEE.	en
heal.journalName	Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - ""Personalized Healthcare through Technology""	en
dc.identifier.doi	10.1109/IEMBS.2008.4650451	en
dc.identifier.spage	5466	en
dc.identifier.epage	5469	en