Mathematical Modeling and Validation in Physiology - Applications to the Cardiovascular and Respiratory Systems (Paperback, 2013 ed.)

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.

General

Imprint:	Springer-Verlag
Country of origin:	Germany
Series:	Lecture Notes in Mathematics, 2064
Release date:	December 2012
First published:	2013
Editors:	Jerry J Batzel • Mostafa Bachar • Franz Kappel
Dimensions:	235 x 155 x 19mm (L x W x T)
Format:	Paperback
Pages:	254
Edition:	2013 ed.
ISBN-13:	978-3-642-32881-7
Categories:	Books > Science & Mathematics > Biology, life sciences > General Books > Medicine > Pre-clinical medicine: basic sciences > Physiology > General Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers
LSN:	3-642-32881-4
Barcode:	9783642328817

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