Overview
- Explains how to use predictive algorithms to help control swings in blood glucose levels
- Equips readers with practical information to assist them in designing more efficient devices for blood-glucose monitoring
- Demonstrates the effectiveness of the methods discussed using real patient data
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Bioengineering (LNBE)
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Table of contents (13 chapters)
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Front Matter
Keywords
About this book
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 advancesin 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.
Editors and Affiliations
About the editors
John Bagterp Jørgensen is an associate professor in Scientific Computing at Department of Applied Mathematics and Computer Science at the Technical University of Denmark. He is also a faculty member at the Technical University of Denmark’s Center for Energy Resources Engineering (CERE). His research focus is concentrated on Model Predictive Control including computational aspects and applications. The applications include industrial processes, intelligent control of smart energy systems, production optimization and closed-loop reservoir management of oil fields, and an artificial pancreas for people with type 1 diabetes. His research is to a large extent conducted in collaboration with industrial companies.
Eric Renard is professor of endocrinology, diabetes and metabolic diseases at the University of Montpellier I, France. He is also head of the Department of Endocrinology, Diabetes, Nutrition and the Clinical Investigation Center INSERM 1411 at Montpellier University Hospital. Since more than 20 years, his research group has been at the forefront of the transfer of technologies toward diabetes management, including wearable and implantable insulin pumps, continuous glucose monitoring and artificial pancreas models.
Luigi del Re is professor at the Johannes Kepler University in Linz, Austria, in the field of modeling and control of dynamical systems with special interest in complex nonlinear systems both from the control and the optimization point of view. He has been working in biomedical applications since 1992.
Bibliographic Information
Book Title: Prediction Methods for Blood Glucose Concentration
Book Subtitle: Design, Use and Evaluation
Editors: Harald Kirchsteiger, John Bagterp Jørgensen, Eric Renard, Luigi del Re
Series Title: Lecture Notes in Bioengineering
DOI: https://doi.org/10.1007/978-3-319-25913-0
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing Switzerland 2016
Hardcover ISBN: 978-3-319-25911-6Published: 25 November 2015
Softcover ISBN: 978-3-319-37298-3Published: 23 August 2016
eBook ISBN: 978-3-319-25913-0Published: 24 November 2015
Series ISSN: 2195-271X
Series E-ISSN: 2195-2728
Edition Number: 1
Number of Pages: XIV, 265
Number of Illustrations: 21 b/w illustrations, 72 illustrations in colour
Topics: Biomedical Engineering and Bioengineering, Diabetes, Control and Systems Theory, Biological and Medical Physics, Biophysics