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Recent Results on Glucose–Insulin Predictions by Means of a State Observer for Time Delay Systems

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Prediction Methods for Blood Glucose Concentration

Part of the book series: Lecture Notes in Bioengineering ((LNBE))

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Abstract

To achieve accurate and affordable predictions of glucose and insulin plasma concentrations is of paramount importance, especially in the field of the artificial pancreas, where real-time measurements could be properly exploited in model-based glucose control algorithms. This note focuses on a recently developed research line that makes use of a state observer to estimate insulin in real-time from glucose measurements, since it is known that insulin measurements are slower and more cumbersome to obtain, more expensive and also less accurate. Based on these predictions, glucose control algorithms can be designed and can be exploited for both intravenous and subcutaneous insulin infusions. The safety, robustness, and efficacy of the observer-based control algorithms have been validated on a population of rather heterogenous virtual patients, modeled by a different, comprehensive model of the glucose–insulin system, recently accepted by the Food and Drug Administration as a substitute of animal trials.

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Author information

Authors and Affiliations

  1. BioMatLab, IASI “A. Ruberti”, National Council of Researches, UCSC Largo A. Gemelli 8, 00168, Rome, Italy

    Pasquale Palumbo, Simona Panunzi & Andrea De Gaetano

  2. Department of Information Engineering, Computer Science and Mathematics, University of L’Aquila, Via Vetoio, 67100, L’aquila, Italy

    Pierdomenico Pepe

Authors
  1. Pasquale Palumbo
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  2. Pierdomenico Pepe
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  3. Simona Panunzi
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  4. Andrea De Gaetano
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Corresponding author

Correspondence to Pasquale Palumbo .

Editor information

Editors and Affiliations

  1. Institute for Design and Control of Mechatronical Systems, Johannes Kepler University Linz, Linz, Austria

    Harald Kirchsteiger

  2. Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kongens Lyngby, Denmark

    John Bagterp Jørgensen

  3. Institut de Génomique Fonctionnelle de Montpellier, Montpellier cedex 5, France

    Eric Renard

  4. Institute for Design and Control of Mechatronical Systems, Johannes Kepler University Linz, Linz, Austria

    Luigi del Re

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Palumbo, P., Pepe, P., Panunzi, S., De Gaetano, A. (2016). Recent Results on Glucose–Insulin Predictions by Means of a State Observer for Time Delay Systems. In: Kirchsteiger, H., Jørgensen, J., Renard, E., del Re, L. (eds) Prediction Methods for Blood Glucose Concentration. Lecture Notes in Bioengineering. Springer, Cham. https://doi.org/10.1007/978-3-319-25913-0_12

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  • DOI: https://doi.org/10.1007/978-3-319-25913-0_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-25911-6

  • Online ISBN: 978-3-319-25913-0

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