Innovative approach for online prediction of blood glucose profile in Type 1 diabetes patients

Giovanna Castillo Estrada, Harald Kirchsteiger, Luigi Del Re, Eric Renard

Publikation: Beitrag in Buch/Bericht/TagungsbandKonferenzbeitragBegutachtung

18 Zitate (Scopus)

Abstract

Recursive identification techniques are used to estimate predictions for the human glucose-insulin subsystem. By replacing a constant gain with a physiologically inspired adaptation rule and adding as additional inputs the two variables ingested meal and administered insulin-which have the highest impact on the glucose concentration-the overall performance of a 45 min glucose prediction could be increased compared to standard identification and prediction methods. The results were analyzed from a system theoretical, and also from a clinical point of view using the CG-EGA.

OriginalspracheEnglisch
TitelProceedings of the 2010 American Control Conference, ACC 2010
Herausgeber (Verlag)IEEE Computer Society
Seiten2015-2020
Seitenumfang6
ISBN (Print)9781424474264
DOIs
PublikationsstatusVeröffentlicht - 2010
Extern publiziertJa

Publikationsreihe

NameProceedings of the 2010 American Control Conference, ACC 2010

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