Advances in Artificial Pancreas Systems - Adaptive and Multivariable Predictive Control (Paperback, 1st ed. 2018)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	SpringerBriefs in Bioengineering
Release date:	March 2018
First published:	2018
Authors:	Ali Cinar • Kamuran Turksoy
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	119
Edition:	1st ed. 2018
ISBN-13:	978-3-319-72244-3
Categories:	Books > Medicine > Clinical & internal medicine > Endocrinology > General Books > Medicine > Nursing & ancillary services > Biomedical engineering > General Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > General
LSN:	3-319-72244-1
Barcode:	9783319722443

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