| Literature DB >> 23367159 |
Madineh Sedigh-Sarvestani1, David J Albers, Bruce J Gluckman.
Abstract
We know much about the glucose regulatory system, yet the application of this knowledge is limited because simultaneous measurements of insulin and glucose are difficult to obtain. We present a data assimilation framework for combining sparse measurements of the glucose regulatory system, available in the intensive care unit setting, with a nonlinear computational model to estimate unmeasured variables and unknown parameters. We also demonstrate a method for choosing the best variables for measurement. We anticipate that this framework will improve glucose maintenance therapies and shed light on the underlying biophysical process.Entities:
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Year: 2012 PMID： 23367159 PMCID： PMC3703785 DOI： 10.1109/EMBC.2012.6347224
Source DB: PubMed Journal: Conf Proc IEEE Eng Med Biol Soc ISSN： 1557-170X