ENGLISH

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

By Jerry J. Batzel , Mostafa Bachar , John M. Karemaker , Franz Kappel (auth.) , Franz Kappel (eds.)

Book information

Publisher
Springer-Verlag Berlin Heidelberg
Year
2013
ISBN
978-3-642-32881-7, 978-3-642-32882-4
DOI
10.1007/978-3-642-32882-4
Language
english
Format
PDF
Filesize
4 MB (4408507 bytes)
Series
Lecture Notes in Mathematics 2064
Edition
1
Pages
254\269
Topic
Biology
Orientation
yes
Scanned
yes
Time added
2013-08-01 04:00:00
Mathematical and Computational Biology; Human Phys

Description

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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