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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Behavioral Sciencearrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Behavioral Science
Article . 1970 . Peer-reviewed
License: Wiley TDM
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Modeling blood glucose dynamics

Authors: L C, Gatewood; E, Ackerman; J W, Rosevear; G D, Molnar;

Modeling blood glucose dynamics

Abstract

For the past several years, various simulations of the blood glucose regulatory system have been performed. Mathematical models of such a system have enabled data reduction, diagnostic classification, hypothesis testing and design of critical experiments. These mathematical models, which simulate the behavior of the real physiological systems, are in turn simulated using various digital and analog computer techniques. A single basic model relating blood glucose and plasma insulin has been shown to adequately describe responses of the glucose regulatory system to various challenge stimuli. Specific examples discussed included responses to an oral glucose tolerance test and an intravenous insulin infusion test. The significance of the model conformations to such tests is discussed in view of the goals of modeling and the extension of knowledge of blood glucose dynamics. Although this model is a highly oversimplified representation of the physiological control system, it has been used successfully in a variety of applications.

Related Organizations
Keywords

Blood Glucose, Systems Analysis, Computers, Insulin Antibodies, Glucose Tolerance Test, Models, Biological, Feedback, Diabetes Mellitus, Insulin, Infusions, Parenteral, Mathematics, Protein Binding

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
26
Top 10%
Top 10%
Top 10%
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