Advances in Artificial Pancreas Systems Adaptive and Multivariable Predictive Control /

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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Cinar, Ali (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut), Turksoy, Kamuran (http://id.loc.gov/vocabulary/relators/aut)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2018.
Έκδοση:1st ed. 2018.
Σειρά:SpringerBriefs in Bioengineering,
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
LEADER 03608nam a2200529 4500
001 978-3-319-72245-0
003 DE-He213
005 20191022032437.0
007 cr nn 008mamaa
008 180301s2018 gw | s |||| 0|eng d
020 |a 9783319722450  |9 978-3-319-72245-0 
024 7 |a 10.1007/978-3-319-72245-0  |2 doi 
040 |d GrThAP 
050 4 |a R856-857 
050 4 |a HC79.E5 
050 4 |a GE220 
072 7 |a MQW  |2 bicssc 
072 7 |a TEC059000  |2 bisacsh 
072 7 |a MQW  |2 thema 
082 0 4 |a 610.28  |2 23 
100 1 |a Cinar, Ali.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
245 1 0 |a Advances in Artificial Pancreas Systems  |h [electronic resource] :  |b Adaptive and Multivariable Predictive Control /  |c by Ali Cinar, Kamuran Turksoy. 
250 |a 1st ed. 2018. 
264 1 |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2018. 
300 |a XII, 119 p. 22 illus., 9 illus. in color.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
490 1 |a SpringerBriefs in Bioengineering,  |x 2193-097X 
505 0 |a 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 |a 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. 
650 0 |a Biomedical engineering. 
650 0 |a Control engineering. 
650 0 |a Endocrinology . 
650 1 4 |a Biomedical Engineering and Bioengineering.  |0 http://scigraph.springernature.com/things/product-market-codes/T2700X 
650 2 4 |a Control and Systems Theory.  |0 http://scigraph.springernature.com/things/product-market-codes/T19010 
650 2 4 |a Endocrinology.  |0 http://scigraph.springernature.com/things/product-market-codes/H33053 
700 1 |a Turksoy, Kamuran.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9783319722443 
776 0 8 |i Printed edition:  |z 9783319722467 
830 0 |a SpringerBriefs in Bioengineering,  |x 2193-097X 
856 4 0 |u https://doi.org/10.1007/978-3-319-72245-0  |z Full Text via HEAL-Link 
912 |a ZDB-2-ENG 
950 |a Engineering (Springer-11647)