Data-driven Modeling for Diabetes

Diagnosis and Treatment

  • Vasilis Marmarelis
  • Georgios Mitsis

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

Table of contents

  1. Front Matter
    Pages i-x
  2. Fredrik Ståhl, Rolf Johansson, Eric Renard
    Pages 37-71
  3. Elena Daskalaki, Peter Diem, Stavroula Mougiakakou
    Pages 91-116
  4. Simona Panunzi, Andrea DeGaetano
    Pages 117-129
  5. Andrea DeGaetano, Simona Panunzi, Pasquale Palumbo, Claudio Gaz, Thomas Hardy
    Pages 165-186
  6. Marzia Cescon, Rolf Johansson
    Pages 187-222
  7. Vasilis Z. Marmarelis, Dae C. Shin, Georgios D. Mitsis
    Pages 223-237

About this book

Introduction

This contributed volume presents computational models of diabetes that quantify the dynamic interrelationships among key physiological variables implicated in the underlying physiology under a variety of metabolic and behavioral conditions. These variables comprise for example blood glucose concentration and various hormones such as insulin, glucagon, epinephrine, norepinephrine as well as cortisol. The presented models provide a powerful diagnostic tool but may also enable treatment via long-term glucose regulation in diabetics through closed-look model-reference control using frequent insulin infusions, which are administered by implanted programmable micro-pumps. This research volume aims at presenting state-of-the-art research on this subject and demonstrating the potential applications of modeling to the diagnosis and treatment of diabetes. The target audience primarily comprises research and experts in the field but the book may also be beneficial for graduate students.

Keywords

Computational Models of Diabetes Diabetes Mellitus Diagnostic Tool Implanted Micro-pumps Long-term Glucose Regulation Online Glycemic Control

Editors and affiliations

  • Vasilis Marmarelis
    • 1
  • Georgios Mitsis
    • 2
  1. 1.Biomedical EngineeringUniversity of Southern CaliforniaLos AngelesUSA
  2. 2.Electrical and Computer Engineering, GreeceUniversity of Cyprus,Nicosia,Greese and McGill UniversityMontreal QCCanada

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-54464-4
  • Copyright Information Springer-Verlag Berlin Heidelberg 2014
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-642-54463-7
  • Online ISBN 978-3-642-54464-4
  • Series Print ISSN 2195-271X
  • Series Online ISSN 2195-2728
  • About this book
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