Mathematical Modeling and Validation in Physiology: Applications to the Cardiovascular and Respiratory Systems: 2064 - Brossura

 
9783642328817: Mathematical Modeling and Validation in Physiology: Applications to the Cardiovascular and Respiratory Systems: 2064
Brossura
ISBN 10: 3642328814 ISBN 13: 9783642328817
Casa editrice: Springer, 2012

Sinossi

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.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Dalla quarta di copertina

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.

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Editore
Springer
Data di pubblicazione
2012
Lingua
Inglese
ISBN 10 
3642328814
ISBN 13 
9783642328817
Rilegatura
Copertina flessibile
Numero edizione
1
Numero di pagine
280
Redattore
Batzel Jerry J., Bachar Mostafa, Kappel Franz
Contatto del produttore
non disponibile
Persona responsabile
CMN Printpool Inh. Mathis Neumann
https://www.also.com/ec/cms5/en_6000/6000/index.jsp

Friedrich-Karl-Str. 9
Hamburg
Germania

Altre edizioni note dello stesso titolo

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

Edizione in evidenza

ISBN 10:  3642328830 ISBN 13:  9783642328831
Casa editrice: Springer, 2012
Brossura