Complexity and nonlinearity in cardiovascular signals

• Other Authors: Barbieri, Riccardo, Scilingo, E. Pasquale, Valenza, Gaetano
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer, 2017.
• Subjects: Cardiovascular system > Pathophysiology.; elektronické knihy; electronic books
• ISBN: 9783319587097; 9783319587080
• Physical Description: 1 online resource : illustrations

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...

Table of Contents:

• 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.
• 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).
• 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.
• 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.
• 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.