Mathematical Modeling and Validation in Physiology
Applications to the Cardiovascular and Respiratory Systems
Editors: Batzel, Jerry J., Bachar, Mostafa, Kappel, Franz (Eds.)
- Focused study of modeling from model design to model identifiability and validation
- Written by current leading experts in the field and including topics of current research interest in state of the art questions and methods
- Focus on interdisciplinary (physiological and mathematical) collaboration and applications of modeling with clinical relevance
- Presentation of key theoretical ideas and current areas of research interest through clear and motivated examples of application and implementation
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- About this book
-
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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Bibliographic Information
- Bibliographic Information
-
- Book Title
- Mathematical Modeling and Validation in Physiology
- Book Subtitle
- Applications to the Cardiovascular and Respiratory Systems
- Editors
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- Jerry J. Batzel
- Mostafa Bachar
- Franz Kappel
- Series Title
- Mathematical Biosciences Subseries
- Series Volume
- 2064
- Copyright
- 2013
- Publisher
- Springer-Verlag Berlin Heidelberg
- Copyright Holder
- Springer-Verlag Berlin Heidelberg
- eBook ISBN
- 978-3-642-32882-4
- DOI
- 10.1007/978-3-642-32882-4
- Softcover ISBN
- 978-3-642-32881-7
- Series ISSN
- 2524-6771
- Edition Number
- 1
- Number of Pages
- XX, 254
- Number of Illustrations
- 49 b/w illustrations, 34 illustrations in colour
- Topics
