Model-based estimation of physiological parameters in the reperfusion phase of liver transplantation

József Homlok, J. Geoffrey Chase, Tibor Doktor, Zoltán Benyó, Balázs Benyó

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In liver transplantation (LT) well defined increase of blood glucose (BG) level can be observed after the revas-cularization of allografted liver, which is followed by a highly variable BG level period. Managing the BG level in the normo-glycemic range would cause a positive effect on the outcomes of the surgery. Model-based approach may lead us to design appropriate glycemic control (GC) method. In this paper we suggest to modify the so called ICING model to describe the dynamics of the BG level during LT. The identified physiological parameters allow the model to follow the characteristic blood glucose dynamics during and after the reperfusion phase of LT as well. The possibility of the measurements of physiological parameters are restricted due to the surgery conditions. The suggested model also let us estimate the rate of the endogenous glucose production and the insulin independent glucose uptake.

Original languageEnglish
Title of host publicationINES 2014 - IEEE 18th International Conference on Intelligent Engineering Systems, Proceedings
EditorsAniko Szakal
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages121-125
Number of pages5
ISBN (Electronic)9781479946150
DOIs
Publication statusPublished - Sep 24 2014
Event18th IEEE International Conference on Intelligent Engineering Systems, INES 2014 - Tihany, Hungary
Duration: Jul 3 2014Jul 5 2014

Publication series

NameINES 2014 - IEEE 18th International Conference on Intelligent Engineering Systems, Proceedings

Other

Other18th IEEE International Conference on Intelligent Engineering Systems, INES 2014
CountryHungary
CityTihany
Period7/3/147/5/14

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence
  • Applied Mathematics
  • Theoretical Computer Science

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  • Cite this

    Homlok, J., Chase, J. G., Doktor, T., Benyó, Z., & Benyó, B. (2014). Model-based estimation of physiological parameters in the reperfusion phase of liver transplantation. In A. Szakal (Ed.), INES 2014 - IEEE 18th International Conference on Intelligent Engineering Systems, Proceedings (pp. 121-125). [6909354] (INES 2014 - IEEE 18th International Conference on Intelligent Engineering Systems, Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/INES.2014.6909354