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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

Publikation: Beitrag in Buch/Bericht/Konferenzband › Konferenzbeitrag › Begutachtung

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.
OriginalspracheEnglisch
Titel2015 European Control Conference (ECC)
Seiten1-6
Seitenumfang6
ISBN (elektronisch)9783952426937
DOIs
PublikationsstatusVeröffentlicht - 16 Nov. 2015

UN SDGs

Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung

  1. SDG 3 – Gute Gesundheit und Wohlergehen
    SDG 3 – Gute Gesundheit und Wohlergehen

Wissenschaftszweige

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  • 202027 Mechatronik
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  • 203027 Verbrennungskraftmaschinen
  • 206001 Biomedizinische Technik

JKU-Schwerpunkte

  • Mechatronics and Information Processing

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