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Complexity and nonlinearity in cardiovascular signals

作者: Riccardo Barbieri; E Pasquale Scilingo; Gaetano Valenza
出版商: Cham : Springer, 2017.
版本/格式:   電子書 : 文獻 : 英語所有版本和格式的總覽
提要:
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  再讀一些...
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詳細書目

類型/形式: Electronic books
其他的實體格式: Printed edition:
資料類型: 文獻, 網際網路資源
文件類型 網際網路資源, 電腦檔案
所有的作者/貢獻者: Riccardo Barbieri; E Pasquale Scilingo; Gaetano Valenza
ISBN: 9783319587097 3319587099 3319587080 9783319587080
OCLC系統控制編碼: 1000591930
描述: 1 online resource : illustrations
内容: 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.
責任: Riccardo Barbieri, Enzo Pasquale Scilingo, Gaetano Valenza, editors.

摘要:

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.

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