Complexity and Nonlinearity in Cardiovascular Signals

ISBN 10: 3319864580 / ISBN 13: 9783319864587

Published by Springer, 2018

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Bibliographic Details

• Title: Complexity and Nonlinearity in Cardiovascular Signals
• Publisher: Springer
• Publication Date: 2018
• Language: English
• ISBN 10: 3319864580
• ISBN 13: 9783319864587
• Binding: Paperback
• Condition: New
• Book Type: book

About this title

Synopsis

This book reports on the latest advances in complex and nonlinear cardiovascular physiology aimed at  obtaining reliable, effective markers for the assessment of heartbeat, respiratory, and blood pressure dynamics. The chapters describe in detail methods that have been previously defined in theoretical physics such as entropy, multifractal spectra, and Lyapunov exponents, contextualized within physiological dynamics of cardiovascular control, including autonomic nervous system activity. Additionally, the book discusses several application scenarios of these methods. The text critically reviews the current state-of-the-art research in the field that has led to the description of dedicated experimental protocols and ad-hoc models of complex physiology. This text is ideal for biomedical engineers, physiologists, and neuroscientists. 

This book also:

Expertly reviews cutting-edge research, such as recent advances in measuring complexity, nonlinearity, and information-theoretic concepts applied to coupled dynamical systems

Comprehensively describes applications of analytic technique to clinical scenarios such as heart failure, depression and mental disorders, atrial fibrillation, acute brain lesions, and more

Broadens readers' understanding of cardiovascular signals, heart rate complexity, heart rate variability, and nonlinear analysis

About the Author

Riccardo Barbieri is a Professor in the Department of Electronics, Informatics and Bioengineering at the Politecnico di Milano, in Milan, Italy. 

Enzo P. Scilingo and Gaetano Valenza are both Professors at the Department of Information Engineering & Bioengineering and Robotics Research Center "E. Piaggio", at University of Pisa School of Engineering, in Pisa, Italy.