DocumentCode :
380932
Title :
Performance monitoring of diabetic patient systems
Author :
Owens, Camelia L. ; Doyle, Francis J., III
Author_Institution :
Dept. of Chem. Eng., Delaware Univ., Newark, DE, USA
Volume :
2
fYear :
2001
fDate :
2001
Firstpage :
2047
Abstract :
The minimum variance performance measure is applied to two diabetic patient models under simulated fault scenarios. The Bergman model and the automated insulin dosage advisor, are controlled in the internal model control framework to achieve adequate blood glucose levels. The focus of the paper is to reflect the importance and feasibility of implementing a detection and diagnosis tool such as the minimum variance performance benchmark to an implantable device for diabetics to guarantee adequate control of blood glucose levels.
Keywords :
biocontrol; blood; diseases; patient monitoring; performance index; physiological models; prosthetics; transfer functions; Bergman model; automated insulin dosage advisor; blood glucose levels; detection-diagnosis tool; diabetic patient systems; implantable device; implantable insulin infusion pumps; internal model control; minimum variance performance measure; performance monitoring; simulated fault scenarios; Absorption; Automatic control; Blood; Diabetes; Equations; Insulin; Kinetic theory; Patient monitoring; Physiology; Sugar;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2001. Proceedings of the 23rd Annual International Conference of the IEEE
ISSN :
1094-687X
Print_ISBN :
0-7803-7211-5
Type :
conf
DOI :
10.1109/IEMBS.2001.1020635
Filename :
1020635
Link To Document :
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