Complexity and Nonlinearity in Cardiovascular Signals
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Beschreibung
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 systemsComprehensively 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
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 systemsComprehensively 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 analysisExpertly reviews cutting-edge research, such as recent advances in multiscale entropy 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 Includes supplementary material: sn.pub/extras Includes supplementary material: sn.pub/extras
Autor*in
Riccardo Barbieri
Themen in »Complexity and Nonlinearity in Cardiovascular Signals«
Approximate Entropy ARFIMA-GARCH Modelling Atrial Fibrillation Compression Entropy Detrended Fluctuation Analysis Diabetic Cardiac Neuropathy Heart Rate Variability Lyapunov Exponents Poincare Plot Analyses Power Spectra Sample Entropy Statistical Biosignal Processing