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Erschienen in:
Merging Mathematical and Physiological Knowledge: Dimensions and Challenges Kapitel lesen Erstes Kapitel lesen

2013 | OriginalPaper | Buchkapitel

2. Mathematical Modeling of Physiological Systems

verfasst von : Thomas Heldt, George C. Verghese, Roger G. Mark

Erschienen in: Mathematical Modeling and Validation in Physiology

Verlag: Springer Berlin Heidelberg

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Abstract

Although mathematical modeling has a long and very rich tradition in physiology, the recent explosion of biological, biomedical, and clinical data from the cellular level all the way to the organismic level promises to require a renewed emphasis on computational physiology, to enable integration and analysis of vast amounts of life-science data. In this introductory chapter, we touch upon four modeling-related themes that are central to a computational approach to physiology, namely simulation, exploration of hypotheses, parameter estimation, and model-order reduction. In illustrating these themes, we will make reference to the work of others contained in this volume, but will also give examples from our own work on cardiovascular modeling at the systems-physiology level.

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Vorheriges Kapitel Merging Mathematical and Physiological Knowledge: Dimensions and Challenges
Nächstes Kapitel Parameter Selection Methods in Inverse Problem Formulation
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Metadaten
Titel
Mathematical Modeling of Physiological Systems
verfasst von
Thomas Heldt
George C. Verghese
Roger G. Mark
Copyright-Jahr
2013
Verlag
Springer Berlin Heidelberg
Buch
Mathematical Modeling and Validation in Physiology

Print ISBN: 978-3-642-32881-7

Electronic ISBN: 978-3-642-32882-4

Copyright-Jahr: 2013

DOI
https://doi.org/10.1007/978-3-642-32882-4_2