Prediction Methods for Blood Glucose Concentration

1. Front Matter

   Pages i-xiv

   PDF

2. Alternative Frameworks for Personalized Insulin–Glucose Models

   • Harald Kirchsteiger, Hajrudin Efendic, Florian Reiterer, Luigi del Re

   Pages 1-29

3. Accuracy of BG Meters and CGM Systems: Possible Influence Factors for the Glucose Prediction Based on Tissue Glucose Concentrations

   • Guido Freckmann, Stefan Pleus, Manuela Link, Cornelia Haug

   Pages 31-42

4. CGM—How Good Is Good Enough?

   • Michael Schoemaker, Christopher G. Parkin

   Pages 43-55

5. Can We Use Measurements to Classify Patients Suffering from Type 1 Diabetes into Subcategories and Does It Make Sense?

   • Florian Reiterer, Harald Kirchsteiger, Guido Freckmann, Luigi del Re

   Pages 57-78

6. Prevention of Severe Hypoglycemia by Continuous EEG Monitoring

   • Claus Bogh Juhl, Jonas Duun-Henriksen, Jens Ahm Sørensen, Anne Sophie Sejling, Rasmus Elsborg Madsen

   Pages 79-92

7. Meta-Learning Based Blood Glucose Predictor for Diabetic Smartphone App

   • Valeriya Naumova, Lucian Nita, Jens Ulrik Poulsen, Sergei V. Pereverzyev

   Pages 93-105

8. Predicting Glycemia in Type 1 Diabetes Mellitus with Subspace-Based Linear Multistep Predictors

   • Marzia Cescon, Rolf Johansson, Eric Renard

   Pages 107-132

9. Empirical Representation of Blood Glucose Variability in a Compartmental Model

   • Stephen D. Patek, Dayu Lv, Edward A. Ortiz, Colleen Hughes-Karvetski, Sandip Kulkarni, Qian Zhang et al.

   Pages 133-157

10. Physiology-Based Interval Models: A Framework for Glucose Prediction Under Intra-patient Variability

    • Jorge Bondia, Josep Vehi

    Pages 159-181

11. Modeling and Prediction Using Stochastic Differential Equations

    • Rune Juhl, Jan Kloppenborg Møller, John Bagterp Jørgensen, Henrik Madsen

    Pages 183-209

12. Uncertainties and Modeling Errors of Type 1 Diabetes Models

    • Levente Kovács, Péter Szalay

    Pages 211-225

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

    • Pasquale Palumbo, Pierdomenico Pepe, Simona Panunzi, Andrea De Gaetano

    Pages 227-241

14. Performance Assessment of Model-Based Artificial Pancreas Control Systems

    • Jianyuan Feng, Kamuran Turksoy, Ali Cinar

    Pages 243-265

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 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.

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

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

  Harald Kirchsteiger, Luigi del Re

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

  John Bagterp Jørgensen

• Institut de Génomique Fonctionnelle de Montpellier, Montpellier cedex 5, France

  Eric Renard

Harald Kirchsteiger is postdoctoral researcher at the Johannes Kepler University in Linz, Austria. He finished his PhD on model-based control of blood glucose concentration in 2012 and continued working intensively on data-based modeling of the glucose/insulin metabolism. 
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.

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