Advances in Artificial Pancreas Systems (Record no. 79064)

000 -LEADER
fixed length control field 03511nam a22005415i 4500
001 - CONTROL NUMBER
control field 978-3-319-72245-0
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220801220911.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 180301s2018 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783319722450
-- 978-3-319-72245-0
082 04 - CLASSIFICATION NUMBER
Call Number 610.28
100 1# - AUTHOR NAME
Author Cinar, Ali.
245 10 - TITLE STATEMENT
Title Advances in Artificial Pancreas Systems
Sub Title Adaptive and Multivariable Predictive Control /
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2018.
300 ## - PHYSICAL DESCRIPTION
Number of Pages XII, 119 p. 22 illus., 9 illus. in color.
490 1# - SERIES STATEMENT
Series statement SpringerBriefs in Bioengineering,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 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.
520 ## - SUMMARY, ETC.
Summary, etc 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.
700 1# - AUTHOR 2
Author 2 Turksoy, Kamuran.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1007/978-3-319-72245-0
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
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-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2018.
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-- computer
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-- rdamedia
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-- online resource
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-- text file
-- PDF
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650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Biomedical engineering.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Control engineering.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Endocrinology.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Biomedical Engineering and Bioengineering.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Control and Systems Theory.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Endocrinology.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 2193-0988
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