Glucose-Insulin Minimal Model Augmented: Identification and Validation

Aguilera Gonzalez, Adriana; Voos, Holger; Darouach, Mohamed

Reference : Glucose-Insulin Minimal Model Augmented: Identification and Validation


	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Electrical & electronics engineering
	To cite this reference:	http://hdl.handle.net/10993/24696

Title :	Glucose-Insulin Minimal Model Augmented: Identification and Validation
Language :	English
Author, co-author :	Aguilera Gonzalez, Adriana [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Voos, Holger [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit > ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)]
	Darouach, Mohamed []
Publication date :	2015
Main document title :	AMCA Congreso Nacional de Control Automatico 2015, Guernavaca, Mexico, 2015
Peer reviewed :	Yes
On invitation :	No
Audience :	International
Event name :	AMCA Congreso Nacional de Control Automatico 2015
Event date :	14-16 Oct 2015
Event place (city) :	Guernavaca
Event country :	Mexico
Keywords :	[en] Control ; Diabetes ; Minimal Model
Abstract :	[en] In this paper a new mathematical model of the glucose-insulin system is presented. The proposed model represents Type 1 Diabetes Mellitus patients and seeks to give a suitable model of the malfunction of the pancreas. Based on the classic minimal model, this new approach takes into account the description of the glucose dynamic in the subcutaneous layer and a meal disturbance term, together with an additional term that represents the insulin injections, which make this proposal a more realistic approach. Virtual data from UVA/Padova T1DMS software are used for rst evaluations of the effectiveness of the proposed model.
Target :	Researchers ; Professionals ; Students
Permalink :	http://hdl.handle.net/10993/24696
FnR project :	FnR ; FNR7932165 > ADRIANA AGUILERA GONZALEZ > > Glucose level control for type 1 diabetes patients using unknown input observers > 01/10/2014 > 30/09/2016 > 2014

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