Complexity and Nonlinearity in Cardiovascular Signals (Hardcover, 1st ed. 2017)

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

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Release date:	August 2017
First published:	2017
Editors:	Riccardo Barbieri • Enzo Pasquale Scilingo • Gaetano Valenza
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	537
Edition:	1st ed. 2017
ISBN-13:	978-3-319-58708-0
Categories:	Books > Medicine > Clinical & internal medicine > Cardiovascular medicine Books > Medicine > Nursing & ancillary services > Biomedical engineering > General Books > Science & Mathematics > Mathematics > Applied mathematics > Non-linear science Promotions
LSN:	3-319-58708-0
Barcode:	9783319587080

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