DocumentCode
424698
Title
Optimal estimation applications to continuous glucose monitoring
Author
Bequette, B. Wayne
Author_Institution
Isermann Dept. of Chem. & Biol. Eng., Rensseliaer Polytech Inst., Troy, NY, USA
Volume
1
fYear
2004
fDate
June 30 2004-July 2 2004
Firstpage
958
Abstract
Type 1 diabetics must frequently monitor their blood glucose to avoid hypoglycemia and hyperglycemia. In this paper a Kalman filter is developed to estimate blood glucose concentration from noisy continuous subcutaneous sensor signals. The Kalman filter formulation leads to a natural blood glucose predictor that can be used to alarm patients to take corrective action to avoid hypoglycemia.
Keywords
Kalman filters; drug delivery systems; Kalman filter; blood glucose concentration estimation; continuous glucose monitoring; hyperglycemia; hypoglycemia; natural blood glucose; noisy continuous subcutaneous sensor signal; optimal estimation; type 1 diabetic;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 2004. Proceedings of the 2004
Conference_Location
Boston, MA, USA
ISSN
0743-1619
Print_ISBN
0-7803-8335-4
Type
conf
Filename
1383731
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