Advances in Artificial Pancreas Systems: Adaptive and Multivariable Predictive Control

ISBN-13: 9783319722443 / Angielski / Miękka / 2018 / 119 str.

Ali Cinar; Kamuran Turksoy

Opis

This brief introduces recursive modeling techniques that take account of variations in blood glucose concentration within and between individuals.

Spis treści

Introduction.- Physiology and Factors Affecting Blood Glucose Concentration.- Components of an Artificial Pancreas.- Modeling Glucose Concentration Dynamics.- Hypoglycemia Alarm Systems.- Hyperglycemia Alarm Systems.- Various Control Philosophies and Algorithms.- Multivariable Control of Glucose Concentration.- Dual Hormone Techniques for AP Systems.- Integrated Hypo-/Hyperglycemia Alarm and Control Systems.- Future Developments.

O autorze

 Ali Cinar is Professor of Chemical Engineering at the Illinois Institute of Technology.  His research concentrates on three areas: modeling, simulation and control of biomedical systems, complex adaptive agent-based systems, and supervision of process operations. His research activities focus on the development of theory, methods, and tools to use in these application areas. He is a Fellow of the AIChE and the author of books on batch fermentation and chemical process performance evaluation.    

Kamuran Turksoy is a postdoctoral researcher in biomedical engineering at IIT.  His research focuses on the development of hypoglycemia early alarm systems, multivariable adaptive control systems and process monitoring, performance assessment, and fault diagnosis techniques for risk mitigation in artificial pancreas systems. He has developed software to implement the methods and algorithms developed, and tested them in simulation and clinical studies.