Data assimilation of glucose dynamics for use in the intensive care unit

Annu Int Conf IEEE Eng Med Biol Soc. 2012:2012:5437-40. doi: 10.1109/EMBC.2012.6347224.

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.

Publication types

  • Research Support, N.I.H., Extramural

MeSH terms

  • Blood Glucose / analysis*
  • Humans
  • Insulin / physiology
  • Intensive Care Units*

Substances

  • Blood Glucose
  • Insulin