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Identification of Diurnal Patterns in Insulin Action from Measured CGM Data for Patients with T1DM

  • Florian Reiterer
  • , Harald Kirchsteiger
  • , Guido Freckmann
  • , Luigi Del Re

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

Abstract

We propose a method to identify diurnal changes in insulin action in patients suffering from type 1 diabetes mellitus (T1DM) based on data recorded by continuous glucose monitoring systems (CGMS). In order to do so the data is fitted using a continuous time transfer function including time dependent terms. The identified values for the insulin needs per gram of carbohydrate were compared with the patient-specific carbohydrate-to-insulin-ratios used for the calculation of the bolus insulin needs. A good agreement between the identified parameters and values determined by diabetologists were found. Furthermore, the diurnal variations in insulin action (as inferred from the changes in the patient-specific carbohydrate-to-insulin-ratios) could be reproduced. The identified models, including the diurnal changes in insulin action and the information on the intra-patient variability, have the potential to be used in future studies for managing the blood glucose level of patients, e.g. in a smart bolus calculator.
Original languageEnglish
Title of host publication2015 European Control Conference (ECC)
Pages1-6
Number of pages6
ISBN (Electronic)9783952426937
DOIs
Publication statusPublished - 16 Nov 2015

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Fields of science

  • 206002 Electro-medical engineering
  • 207109 Pollutant emission
  • 202 Electrical Engineering, Electronics, Information Engineering
  • 202027 Mechatronics
  • 202034 Control engineering
  • 203027 Internal combustion engines
  • 206001 Biomedical engineering

JKU Focus areas

  • Mechatronics and Information Processing

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