Nonlinear Biomedical Signal Processing, Volume 2

Featuring current contributions by experts in signal processing and biomedical engineering, this book introduces the concepts, recent advances, and implementations of nonlinear dynamic analysis methods. Together with Volume I in this series, this book provides comprehensive coverage of nonlinear signal and image processing techniques.

Informationen zum Autor About the Editor Metin Akay is currently an assistant professor at Dartmouth College. A noted speaker, editor, and author, Dr. Akay has spent several years conducting research in the areas of fuzzy neural networks and signal processing, wavelet transform, and detection and estimation theory. His biomedical research areas include the autonomic nervous system, maturation, respiratory-related evoked response, noninvasive detection of coronary artery disease, and estimation of cardiac output. Dr. Akay is the founding series editor of the IEEE Press Series on Biomedical Engineering. In 1997 he received the prestigious Early Career Achievement Award from the IEEE Engineering in Medicine and Biology Society (EMBS). He is the program chair of both the annual IEEE EMBS Conference and Summer School for 2001. Dr. Akay has published several papers in the field and authored or coauthored eleven books, including Time Frequency and Wavelets in Biomedical Signal Processing (IEEE Press, 1998) and Nonlinear Biomedical Signal Processing, Volume I: Fuzzy Logic, Neural Networks, and New Algorithms (IEEE Press, 2000). He holds two U.S. patents. Klappentext Biomedical / Electrical Engineering Nonlinear Biomedical Signal Processing Volume II: Dynamic Analysis and Modeling A volume in the IEEE Press Series on Biomedical Engineering Metin Akay, Series Editor Featuring current contributions by experts in signal processing and biomedical engineering, this book introduces the concepts, recent advances, and implementations of nonlinear dynamic analysis methods. Together with Volume I in this series, this book provides comprehensive coverage of nonlinear signal and image processing techniques. Nonlinear Biomedical Signal Processing: Volume II combines analytical and biological expertise in the original mathematical simulation and modeling of physiological systems. Detailed discussions of the analysis of steady-state and dynamic systems, discrete-time system theory, and discrete modeling of continuous-time systems are provided. Biomedical examples include the analysis of the respiratory control system, the dynamics of cardiac muscle and the cardiorespiratory function, and neural firing patterns in auditory and vision systems. Examples include relevant MATLAB(r) and Pascal programs. Topics covered include: Nonlinear dynamics Behavior and estimation Modeling of biomedical signals and systems Heart rate variability measures, models, and signal assessments Origin of chaos in cardiovascular and gastric myoelectrical activity Measurement of spatio-temporal dynamics of human epileptic seizures.A valuable reference book for medical researchers, medical faculty, and advanced graduate students, it is also essential reading for practicing biomedical engineers. Nonlinear Biomedical Signal Processing, Volume II is an excellent companion to Dr. Akay's Nonlinear Biomedical Signal Processing, Volume I: Fuzzy Logic, Neural Networks, and New Algorithms. Zusammenfassung Featuring current contributions by experts in signal processing and biomedical engineering, this book introduces the concepts, recent advances, and implementations of nonlinear dynamic analysis methods. Together with Volume I in this series, this book provides comprehensive coverage of nonlinear signal and image processing techniques. Inhaltsverzeichnis Preface. List of Contributors. Nonlinear Dynamics Time Series Analysis (B. Henry, et al.). Searching for the Origin of Chaos (T. Yambe, et al.). Approximate Entropy and Its Applications to Biosignal Analysis (Y. Fusheng, et al.). Parsimonious Modeling of Biomedical Signals and Systems: Applications to the Cardiovascular System (P. Celka, et al.). Nonlinear Behavior of Heart Rate Variability as Registered After Heart Transplantation (C. Maier, et al.). Heart Rate Variability: Measures and Models (M. Teich, et al...

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Biomedical / Electrical Engineering Nonlinear Biomedical Signal Processing Volume II: Dynamic Analysis and Modeling A volume in the IEEE Press Series on Biomedical Engineering Metin Akay, Series Editor Featuring current contributions by experts in signal processing and biomedical engineering, this book introduces the concepts, recent advances, and implementations of nonlinear dynamic analysis methods. Together with Volume I in this series, this book provides comprehensive coverage of nonlinear signal and image processing techniques. Nonlinear Biomedical Signal Processing: Volume II combines analytical and biological expertise in the original mathematical simulation and modeling of physiological systems. Detailed discussions of the analysis of steady-state and dynamic systems, discrete-time system theory, and discrete modeling of continuous-time systems are provided. Biomedical examples include the analysis of the respiratory control system, the dynamics of cardiac muscle and the cardiorespiratory function, and neural firing patterns in auditory and vision systems. Examples include relevant MATLAB(r) and Pascal programs. Topics covered include: Nonlinear dynamics Behavior and estimation Modeling of biomedical signals and systems Heart rate variability measures, models, and signal assessments Origin of chaos in cardiovascular and gastric myoelectrical activity Measurement of spatio-temporal dynamics of human epileptic seizures. A valuable reference book for medical researchers, medical faculty, and advanced graduate students, it is also essential reading for practicing biomedical engineers. Nonlinear Biomedical Signal Processing, Volume II is an excellent companion to Dr. Akay's Nonlinear Biomedical Signal Processing, Volume I: Fuzzy Logic, Neural Networks, and New Algorithms.

Contenu

Preface.

List of Contributors.

Nonlinear Dynamics Time Series Analysis (B. Henry, et al.).

Searching for the Origin of Chaos (T. Yambe, et al.).

Approximate Entropy and Its Applications to Biosignal Analysis (Y. Fusheng, et al.).

Parsimonious Modeling of Biomedical Signals and Systems: Applications to the Cardiovascular System (P. Celka, et al.).

Nonlinear Behavior of Heart Rate Variability as Registered After Heart Transplantation (C. Maier, et al.).

Heart Rate Variability: Measures and Models (M. Teich, et al.).

Ventriculo-Arterial Interaction After Acute Increase of the Aortic Input Impedance: Description Using Recurrence Plot Analysis (S. Schulz, et al.).

Nonlinear Estimation of Respiratory-Induced Heart Movements and Its Application in ECG/VCG Processing (L. Sörnmo, et al.).

Detecting Nonlinear Dynamics in Sympathetic Activity Directed to the Heart (A. Porta, et al.).

Assessment of Nonlinear Dynamics in Heart Rate Variability Signal (M. Signorini, et al.).

Nonlinear Deterministic Behavior in Blood Pressure Control (N. Lovell, et al.).

Measurement and Quantification of Spatiotemporal Dynamics of Human Epileptic Seizures (L. Iasemidis, et al.).

Rhythms and Chaos in the Stomach (Z. Wang, et al).

Index.

About the Editor.