Prediction Methods for Blood Glucose Concentration

Design, Use and Evaluation

  • Harald Kirchsteiger
  • John Bagterp Jørgensen
  • Eric Renard
  • Luigi del Re

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

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Harald Kirchsteiger, Hajrudin Efendic, Florian Reiterer, Luigi del Re
    Pages 1-29
  3. Michael Schoemaker, Christopher G. Parkin
    Pages 43-55
  4. Florian Reiterer, Harald Kirchsteiger, Guido Freckmann, Luigi del Re
    Pages 57-78
  5. Claus Bogh Juhl, Jonas Duun-Henriksen, Jens Ahm Sørensen, Anne Sophie Sejling, Rasmus Elsborg Madsen
    Pages 79-92
  6. Valeriya Naumova, Lucian Nita, Jens Ulrik Poulsen, Sergei V. Pereverzyev
    Pages 93-105
  7. Stephen D. Patek, Dayu Lv, Edward A. Ortiz, Colleen Hughes-Karvetski, Sandip Kulkarni, Qian Zhang et al.
    Pages 133-157
  8. Rune Juhl, Jan Kloppenborg Møller, John Bagterp Jørgensen, Henrik Madsen
    Pages 183-209
  9. Levente Kovács, Péter Szalay
    Pages 211-225
  10. Pasquale Palumbo, Pierdomenico Pepe, Simona Panunzi, Andrea De Gaetano
    Pages 227-241
  11. Jianyuan Feng, Kamuran Turksoy, Ali Cinar
    Pages 243-265

About this book

Introduction

This book tackles the problem of overshoot and undershoot in blood glucose levels caused by delay in the effects of carbohydrate consumption and insulin administration. The ideas presented here will be very important in maintaining the welfare of insulin-dependent diabetics and avoiding the damaging effects of unpredicted swings in blood glucose – accurate prediction enables the implementation of counter-measures. The glucose prediction algorithms described are also a key and critical ingredient of automated insulin delivery systems, the so-called “artificial pancreas”.
The authors address the topic of blood-glucose prediction from medical, scientific and technological points of view. Simulation studies are utilized for complementary analysis but the primary focus of this book is on real applications, using clinical data from diabetic subjects.
The text details the current state of the art by surveying prediction algorithms, and then moves beyond it with the most recent advances in data-based modeling of glucose metabolism. The topic of performance evaluation is discussed and the relationship of clinical and technological needs and goals examined with regard to their implications for medical devices employing prediction algorithms. Practical and theoretical questions associated with such devices and their solutions are highlighted.
This book shows researchers interested in biomedical device technology and control researchers working with predictive algorithms how incorporation of predictive algorithms into the next generation of portable glucose measurement can make treatment of diabetes safer and more efficient.

Keywords

Blood Glucose Control Blood Glucose Monitoring Blood Glucose Prediction Continuous Glucose Monitoring Data-based Modelling Portable Medical Devices Type 1 Diabetes

Editors and affiliations

  • Harald Kirchsteiger
    • 1
  • John Bagterp Jørgensen
    • 2
  • Eric Renard
    • 3
  • Luigi del Re
    • 4
  1. 1.Institute for Design and Control of Mechatronical SystemsJohannes Kepler University LinzLinzAustria
  2. 2.Department of Applied Mathematics and Computer ScienceTechnical University of DenmarkKongens LyngbyDenmark
  3. 3.Institut de Génomique Fonctionnelle de MontpellierMontpellier cedex 5France
  4. 4.Institute for Design and Control of Mechatronical SystemsJohannes Kepler University LinzLinzAustria

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-25913-0
  • Copyright Information Springer International Publishing Switzerland 2016
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-25911-6
  • Online ISBN 978-3-319-25913-0
  • Series Print ISSN 2195-271X
  • Series Online ISSN 2195-2728
  • About this book
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