Advances in Artificial Pancreas Systems (eBook)
XII, 119 Seiten
Springer International Publishing (Verlag)
978-3-319-72245-0 (ISBN)
This brief introduces recursive modeling techniques that take account of variations in blood glucose concentration within and between individuals. It describes their use in developing multivariable models in early-warning systems for hypo- and hyperglycemia; these models are more accurate than those solely reliant on glucose and insulin concentrations because they can accommodate other relevant influences like physical activity, stress and sleep.
Such factors also contribute to the accuracy of the adaptive control systems present in the artificial pancreas which is the focus of the brief, as their presence is indicated before they have an apparent effect on the glucose concentration and so can be more easily compensated. The adaptive controller is based on generalized predictive control techniques and also includes rules for changing controller parameters or structure based on the values of physiological variables. Simulation studies and clinical studies are reported to illustrate the performance of the techniques presented. 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.
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.
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.
Erscheint lt. Verlag | 1.3.2018 |
---|---|
Reihe/Serie | SpringerBriefs in Bioengineering | SpringerBriefs in Bioengineering |
Zusatzinfo | XII, 119 p. 22 illus., 9 illus. in color. |
Verlagsort | Cham |
Sprache | englisch |
Themenwelt | Medizin / Pharmazie ► Medizinische Fachgebiete ► Innere Medizin |
Technik | |
Schlagworte | Alternative Control Techniques • Artificial Pancreas • Hyperglycemia Alarm • Hypoglycemia Alarm • Model-based Control • Multivariable Models • Physical Activity • Recursive Identification • Type 1 Diabetes |
ISBN-10 | 3-319-72245-X / 331972245X |
ISBN-13 | 978-3-319-72245-0 / 9783319722450 |
Haben Sie eine Frage zum Produkt? |
Größe: 3,3 MB
DRM: Digitales Wasserzeichen
Dieses eBook enthält ein digitales Wasserzeichen und ist damit für Sie personalisiert. Bei einer missbräuchlichen Weitergabe des eBooks an Dritte ist eine Rückverfolgung an die Quelle möglich.
Dateiformat: PDF (Portable Document Format)
Mit einem festen Seitenlayout eignet sich die PDF besonders für Fachbücher mit Spalten, Tabellen und Abbildungen. Eine PDF kann auf fast allen Geräten angezeigt werden, ist aber für kleine Displays (Smartphone, eReader) nur eingeschränkt geeignet.
Systemvoraussetzungen:
PC/Mac: Mit einem PC oder Mac können Sie dieses eBook lesen. Sie benötigen dafür einen PDF-Viewer - z.B. den Adobe Reader oder Adobe Digital Editions.
eReader: Dieses eBook kann mit (fast) allen eBook-Readern gelesen werden. Mit dem amazon-Kindle ist es aber nicht kompatibel.
Smartphone/Tablet: Egal ob Apple oder Android, dieses eBook können Sie lesen. Sie benötigen dafür einen PDF-Viewer - z.B. die kostenlose Adobe Digital Editions-App.
Buying eBooks from abroad
For tax law reasons we can sell eBooks just within Germany and Switzerland. Regrettably we cannot fulfill eBook-orders from other countries.
aus dem Bereich