DocumentCode :
2813349
Title :
The Bergman´s insulin-glucose regulation model: DNN-state observer
Author :
Garcia, Alejandro ; Cabrera, Agustin I. ; Poznyak, Alexander ; Poznyak, Tatiana
Author_Institution :
Unidad Profesional Interdisciplinaria de Biotecnologia, Mexico
Volume :
2
fYear :
2000
fDate :
2000
Firstpage :
1421
Abstract :
The nonlinear Bergman regulation model of insulin-glucose in plasma is analyzed using modern observability theory. The observability conditions are derived. The glucose concentration measurements in plasma or any its combinations with the other components are shown to provide the observability property, that is, they contain the complete information about the considered state space dynamic model. Because this model has several a priori unknown parameters and the measurable data may have noises, the dynamic neuro state observer is suggested to obtain immeasurable state estimates. Such an approach brings significant advantages with respect to the “insulin doses decision”, traditionally used in the normal insulin infusion pumps: it presents the opportunity to avoid any active patient actions, the numerical simulations illustrate the effectiveness of the suggested approach
Keywords :
biocontrol; blood; drug delivery systems; learning (artificial intelligence); neural nets; observability; observers; physiological models; state-space methods; DNN-state observer; dynamic neuro state observer; glucose concentration measurements; immeasurable state estimates; insulin doses decision; insulin infusion pumps; insulin-glucose in plasma; learning process; nonlinear Bergman regulation model; numerical simulations; observability theory; state space dynamic model; Insulin; Noise measurement; Numerical simulation; Observability; Observers; Plasma measurements; Plasma properties; State estimation; State-space methods; Sugar;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2000. Proceedings of the 22nd Annual International Conference of the IEEE
Conference_Location :
Chicago, IL
ISSN :
1094-687X
Print_ISBN :
0-7803-6465-1
Type :
conf
DOI :
10.1109/IEMBS.2000.898007
Filename :
898007
Link To Document :
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