Mathematical Modeling and Validation in Physiology: Applications to the Cardiovascular and Respiratory Systems: 2064 (Mathematical Biosciences Subseries) - Softcover

 
9783642328817: Mathematical Modeling and Validation in Physiology: Applications to the Cardiovascular and Respiratory Systems: 2064 (Mathematical Biosciences Subseries)
Softcover
ISBN 10: 3642328814 ISBN 13: 9783642328817
Verlag: Springer, 2012

Inhaltsangabe

This volume synthesizes theoretical and practical aspects of both the mathematical and life science viewpoints needed for modeling of the cardiovascular-respiratory system specifically and physiological systems generally. Theoretical points include model design, model complexity and validation in the light of available data, as well as control theory approaches to feedback delay and Kalman filter applications to parameter identification. State of the art approaches using parameter sensitivity are discussed for enhancing model identifiability through joint analysis of model structure and data. Practical examples illustrate model development at various levels of complexity based on given physiological information. The sensitivity-based approaches for examining model identifiability are illustrated by means of specific modeling examples. The themes presented address the current problem of patient-specific model adaptation in the clinical setting, where data is typically limited.

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This volume synthesizes theoretical and practical aspects of both the mathematical and life science viewpoints needed for modeling of the cardiovascular-respiratory system specifically and physiological systems generally. Theoretical points include model design, model complexity and validation in the light of available data, as well as control theory approaches to feedback delay and Kalman filter applications to parameter identification. State of the art approaches using parameter sensitivity are discussed for enhancing model identifiability through joint analysis of model structure and data.
Practical examples illustrate model development at various levels of complexity based on given physiological information. The sensitivity-based approaches for examining model identifiability are illustrated by means of specific modeling examples. The themes presented address the current problem of patient-specific model adaptation in the clinical setting, where data is typically limited.

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Verlag
Springer
Erscheinungsdatum
2012
Sprache
Englisch
ISBN 10 
3642328814
ISBN 13 
9783642328817
Einband
Tapa blanda
Anzahl der Seiten
280
Herausgeber
Batzel Jerry J., Bachar Mostafa, Kappel Franz
Kontakt zum Hersteller
Nicht verfügbar
Verantwortliche Person
CMN Printpool Inh. Mathis Neumann
https://www.also.com/ec/cms5/en_6000/6000/index.jsp

Friedrich-Karl-Str. 9
Hamburg
Deutschland

Weitere beliebte Ausgaben desselben Titels

9783642328831: Mathematical Modeling and Validation in Physiology: Applications to the Cardiovascular and Respiratory Systems

Vorgestellte Ausgabe

ISBN 10:  3642328830 ISBN 13:  9783642328831
Verlag: Springer, 2012
Softcover