Complexity and nonlinearity in cardiovascular signals

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 theoretic...

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Bibliographic Details
Other Authors: Barbieri, Riccardo., Scilingo, E. Pasquale., Valenza, Gaetano.
Format: eBook
Language: English
Published: Cham : Springer, 2017.
Subjects:
ISBN: 9783319587097
9783319587080
Physical Description: 1 online resource : illustrations

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245 0 0 |a Complexity and nonlinearity in cardiovascular signals /  |c Riccardo Barbieri, Enzo Pasquale Scilingo, Gaetano Valenza, editors. 
260 |a Cham :  |b Springer,  |c 2017. 
300 |a 1 online resource :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
337 |a počítač  |b c  |2 rdamedia 
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504 |a Includes bibliographical references. 
505 0 |a Foreword; Contents; Part I Introduction; 1 Introduction to Complex Cardiovascular Physiology; 1.1 Neural Control of the Cardiovascular System; 1.1.1 The Parasympathetic Nervous System; 1.1.1.1 Effect of the Parasympathetic Nervous System; 1.1.2 Respiratory Sinus Arrhythmia; 1.1.3 The Sympathetic Nervous System; 1.1.4 Baroreflex; 1.2 Sympatho-Vagal Nonlinear Interactions; 1.3 Heart Rate Variability; 1.3.1 Representations of Heart Rate Variability; 1.4 Gender/Age Differences in the Autonomic Nervous System Regulation; References; Part II Methods. 
505 8 |a 2 Symbolic Dynamics, Poincaré Plot Analysis and Compression Entropy Estimate Complexity in Biological Time Series2.1 Introduction; 2.2 Methods; 2.2.1 Symbolic Dynamics; 2.2.1.1 Joint Symbolic Dynamics -- (JSD); 2.2.1.2 High Resolution Joint Symbolic Dynamics -- (HRJSD); 2.2.1.3 Joint Conditional Symbolic Analysis -- (JCSA); 2.2.1.4 Symbolic Coupling Traces -- (SCT); 2.2.1.5 Specifics and Restrictions; 2.2.2 Poincaré Plot Analyses; 2.2.2.1 Segmented Poincaré Plot Analysis -- (SPPA); 2.2.2.2 Bivariate Segmented Poincaré Plot Analysis -- (2DSPPA). 
505 8 |a 2.2.2.3 Trivariate Segmented Poincaré Plot Analysis -- (3DSPPA)2.2.2.4 Lagged Segmented Poincaré Plot Analysis -- (LSPPA); 2.2.2.5 Complex Correlation Measure -- (CCM); 2.2.2.6 Specifics and Restrictions; 2.2.3 Compression Entropy; 2.2.3.1 Specifics and Restrictions; 2.3 Clinical Applications; 2.3.1 Schizophrenia: Cardiorespiratory System; 2.3.2 Schizophrenia: Blood Flow; 2.3.3 Idiopathic Dilated Cardiomyopathy; 2.3.4 Depression; 2.3.5 Pregnancy; 2.4 Conclusion; References; 3 Information Decomposition: A Tool to Dissect Cardiovascular and Cardiorespiratory Complexity; 3.1 Introduction. 
505 8 |a 3.2 Basic Concepts of Probability and Information Theory3.3 Information Decomposition in Networks of Interacting Physiological Dynamic Systems; 3.3.1 Dynamic Systems, Stochastic Processes and Their Probabilistic Description; 3.3.2 Information Decomposition in Multivariate Stochastic Processes; 3.4 Computation of Information Dynamics; 3.4.1 Linear Gaussian Computation; 3.4.2 Theoretical Example; 3.5 Application to Physiological Networks; 3.5.1 Experimental Protocols and Data Analysis; 3.5.2 Results and Discussion; 3.6 Conclusions; References; 4 Multiscale Entropy: Recent Advances. 
505 8 |a 4.1 Introduction4.2 Overview of Multiscale Entropy; 4.3 Methods for Scale Extraction; 4.3.1 Composite Multiscale Entropy; 4.3.2 Modified Multiscale Entropy for Short Time Series; 4.3.3 Refined Multiscale Entropy; 4.3.4 Generalized Multiscale Entropy; 4.3.5 Intrinsic Mode Entropy; 4.3.6 Adaptive Multiscale Entropy; 4.4 Methods for Entropy Estimation; 4.4.1 Multiscale Permutation Entropy; 4.4.2 Multiscale Compression Entropy; 4.4.3 Fuzzy Entropy; 4.4.4 Multivariate Multiscale Entropy; 4.5 Multiscale Entropy Analysis of Cardiovascular Time Series; 4.6 Conclusion; References. 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
520 |a 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. 
590 |a SpringerLink  |b Springer Complete eBooks 
650 0 |a Cardiovascular system  |x Pathophysiology. 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a electronic books  |2 eczenas 
700 1 |a Barbieri, Riccardo. 
700 1 |a Scilingo, E. Pasquale. 
700 1 |a Valenza, Gaetano. 
776 0 8 |i Printed edition:  |z 9783319587080 
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