Mathematical Modeling and Validation in Physiology: Applications to the Cardiovascular and Respiratory Systems - Couverture souple

 
9783642328817: Mathematical Modeling and Validation in Physiology: Applications to the Cardiovascular and Respiratory Systems
Couverture souple
ISBN 10 : 3642328814 ISBN 13 : 9783642328817
Editeur : 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.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

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.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
Springer
Date d'édition
2012
Langue
anglais
ISBN 10 
3642328814
ISBN 13 
9783642328817
Reliure
Broché
Nombre de pages
280
Éditeur
Batzel Jerry J., Bachar Mostafa, Kappel Franz
Coordonnées du fabricant
non disponible
Personne responsable
CMN Printpool Inh. Mathis Neumann
https://www.also.com/ec/cms5/en_6000/6000/index.jsp

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Hamburg
Allemagne

Autres éditions populaires du même titre

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

Edition présentée

ISBN 10 :  3642328830 ISBN 13 :  9783642328831
Editeur : Springer, 2012
Couverture souple