Items related to Mathematical Modeling and Validation in Physiology:...

Mathematical Modeling and Validation in Physiology: Applications to the Cardiovascular and Respiratory Systems: 2064 (Lecture Notes in Mathematics, 2064) - Softcover

 
9783642328817: Mathematical Modeling and Validation in Physiology: Applications to the Cardiovascular and Respiratory Systems: 2064 (Lecture Notes in Mathematics, 2064)
Softcover
ISBN 10: 3642328814 ISBN 13: 9783642328817
Publisher: Springer, 2012

Synopsis

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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From the Back Cover

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.

"About this title" may belong to another edition of this title.

Publisher
Springer
Publication date
2012
Language
English
ISBN 10 
3642328814
ISBN 13 
9783642328817
Binding
Paperback
Number of pages
274
Editor
Batzel Jerry J., Bachar Mostafa, Kappel Franz