Overview
- Covers topics on nonlinear dynamics of heart
- Covers topics on diagnosis of sudden cardiac death
- Covers topics on prediction of epilepsy seizures
- Covers topics on behavioural psychology
Part of the book series: Understanding Complex Systems (UCS)
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Table of contents (16 papers)
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Front Matter
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Cardiovascular Physics: Modelling
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Front Matter
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Keywords
About this book
Nonlinear dynamics has become an important field of research in recent years in many areas of the natural sciences. In particular, it has potential applications in biology and medicine; nonlinear data analysis has helped to detect the progress of cardiac disease, physiological disorders, for example episodes of epilepsy, and others. This book focuses on the current trends of research concerning the prediction of sudden cardiac death and the onset of epileptic seizures, using the nonlinear analysis based on ECG and EEG data. Topics covered include the analysis of cardiac models and neural models. The book is a collection of recent research papers by leading physicists, mathematicians, cardiologists and neurobiologists who are actively involved in using the concepts of nonlinear dynamics to explore the functional behaviours of heart and brain under normal and pathological conditions. This collection is intended for students in physics, mathematics and medical sciences, and researchers in interdisciplinary areas of physics and biology.
Editors and Affiliations
Bibliographic Information
Book Title: Complex Dynamics in Physiological Systems: From Heart to Brain
Editors: Syamal K. Dana, Prodyot K. Roy, Jürgen Kurths
Series Title: Understanding Complex Systems
DOI: https://doi.org/10.1007/978-1-4020-9143-8
Publisher: Springer Dordrecht
eBook Packages: Physics and Astronomy, Physics and Astronomy (R0)
Copyright Information: Springer Science+Business Media B.V. 2009
Hardcover ISBN: 978-1-4020-9142-1Published: 18 November 2008
Softcover ISBN: 978-90-481-8079-0Published: 22 October 2010
eBook ISBN: 978-1-4020-9143-8Published: 06 November 2008
Series ISSN: 1860-0832
Series E-ISSN: 1860-0840
Edition Number: 1
Number of Pages: XVI, 272
Number of Illustrations: 82 b/w illustrations, 54 illustrations in colour
Topics: Biomedicine general, Complex Systems, Biological and Medical Physics, Biophysics, Computer Appl. in Life Sciences, Biomedical Engineering and Bioengineering, Statistics for Life Sciences, Medicine, Health Sciences