Continuous glucose monitoring systems in the service of artificial pancreas

Gyorgy Eigner, Peter Istvan Sas, Levente Kovacs

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

2 Citations (Scopus)

Abstract

Diabetes mellitus is a chronic disease causing several side effects. The basis of conventional diabetes management is the blood glucose detection with glucometers. Another approach is the continuous glucose monitoring (CGM) that can be the solution for individual and optimal management of diabetes because it is less painful and inconvenient. Although there are several challenges with CGM which must be solved there are proofs of the usability and justification of using CGM systems. In this paper, we gave a short review of the basics, goals and methods of CGM systems.

Original languageEnglish
Title of host publicationSACI 2014 - 9th IEEE International Symposium on Applied Computational Intelligence and Informatics, Proceedings
PublisherIEEE Computer Society
Pages117-122
Number of pages6
ISBN (Print)9781479946945
DOIs
Publication statusPublished - Jan 1 2014
Event9th IEEE International Symposium on Applied Computational Intelligence and Informatics, SACI 2014 - Timisoara, Romania
Duration: May 15 2014May 17 2014

Publication series

NameSACI 2014 - 9th IEEE International Symposium on Applied Computational Intelligence and Informatics, Proceedings

Conference

Conference9th IEEE International Symposium on Applied Computational Intelligence and Informatics, SACI 2014
CountryRomania
CityTimisoara
Period5/15/145/17/14

    Fingerprint

Keywords

  • Analysis from body fluids
  • Analysis methods
  • Continuous glucose monitoring
  • Glucose sensors

ASJC Scopus subject areas

  • Artificial Intelligence
  • Information Systems

Cite this

Eigner, G., Sas, P. I., & Kovacs, L. (2014). Continuous glucose monitoring systems in the service of artificial pancreas. In SACI 2014 - 9th IEEE International Symposium on Applied Computational Intelligence and Informatics, Proceedings (pp. 117-122). [6840047] (SACI 2014 - 9th IEEE International Symposium on Applied Computational Intelligence and Informatics, Proceedings). IEEE Computer Society. https://doi.org/10.1109/SACI.2014.6840047