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

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

Research output: Chapter in Book/Report/Conference proceedingsConference contributionpeer-review

15 Citations (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.

Original languageEnglish
Title of host publicationProceedings of the 2010 American Control Conference, ACC 2010
PublisherIEEE Computer Society
Pages2015-2020
Number of pages6
ISBN (Print)9781424474264
DOIs
Publication statusPublished - 2010
Externally publishedYes

Publication series

NameProceedings of the 2010 American Control Conference, ACC 2010

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