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008			170814s2017 sz a ob 000 0 eng d
020			_a3319587099 _q(electronic bk.)
020			_a9783319587097 _q(electronic bk.)
020			_z9783319587080
040			_aYDX _beng _cYDX _dN$T _dEBLCP _dGW5XE _dN$T _dDKU _dOCLCF _dUAB _dAZU _dUPM _dMERER _dOCLCQ _dESU _dIOG _dCOO _dJG0 _dES-MaUEC _bspa
050		4	_aRC669.9 _b2017 EB
245	0	0	_aComplexity and nonlinearity in cardiovascular signals _cRiccardo Barbieri, Enzo Pasquale Scilingo, Gaetano Valenza, editors.
264		1	_aCham, Switzerland _bSpringer International Publishing _c2017
300			_a1 recurso en línea _bilustraciones
336			_aTexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_atext file _bPDF
500			_a
504			_aIncluye referencias bibliográficas
505	0		_aForeword; 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		_a2 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		_a2.2.2.3 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		_a3.2 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		_a4.1 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
520	3		_aThis 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.
988			_aEBOOK, asignarmaterias, EBSPRINGER_2017
650		7	_aAparato circulatorio _2embne _0(OCoLC)fst00847228 _9138556
700	1		_aBarbieri, Riccardo.
700	1		_aScilingo, E. Pasquale.
700	1		_aValenza, Gaetano. _9101729
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=http://link.springer.com/10.1007/978-3-319-58709-7 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b02/2018 _dz _e- _zSI