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Prediction Methods for Blood Glucose Concentration = Design, Use and Evaluation /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Prediction Methods for Blood Glucose Concentration/ edited by Harald Kirchsteiger, John Bagterp Jørgensen, Eric Renard, Luigi del Re.
Reminder of title:	Design, Use and Evaluation /
other author:	Kirchsteiger, Harald.
Description:	XIV, 265 p. 93 illus., 72 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Biomedical engineering. -
Online resource:	https://doi.org/10.1007/978-3-319-25913-0
ISBN:	9783319259130

Prediction Methods for Blood Glucose Concentration = Design, Use and Evaluation /
Prediction Methods for Blood Glucose ConcentrationDesign, Use and Evaluation /[electronic resource] :edited by Harald Kirchsteiger, John Bagterp Jørgensen, Eric Renard, Luigi del Re. - 1st ed. 2016. - XIV, 265 p. 93 illus., 72 illus. in color.online resource. - Lecture Notes in Bioengineering,2195-271X. - Lecture Notes in Bioengineering,.

From the Contents : Part I Introduction -- Clinical Relevance of Glucose Prediction: Needs and Goals -- What is the Technical Challenge of Blood Glucose Prediction? -- Part II Possible Solutions -- An Overview of Glucose Prediction Algorithms -- Data-Based Interval Models Employing Continuous-Time System Identification.

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 advances in 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.

ISBN: 9783319259130

Standard No.: 10.1007/978-3-319-25913-0doiSubjects--Topical Terms:

588770
Biomedical engineering.

LC Class. No.: R856-857

Dewey Class. No.: 610.28

Prediction Methods for Blood Glucose Concentration = Design, Use and Evaluation /
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