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Nonlinear biomedical signal processing.. Volume 2, Dynamic analysis and modeling / edited by Metin Akay.

Contributor(s): Akay, Metin | John Wiley & Sons [publisher.] | IEEE Engineering in Medicine and Biology Society | IEEE Xplore (Online service) [distributor.].
Material type: materialTypeLabelBookSeries: IEEE Press series on biomedical engineering: 6Publisher: New York : IEEE Press, c2000Distributor: [Piscataqay, New Jersey] : IEEE Xplore, [2000]Description: 1 PDF (364 pages) : illustrations (some color).Content type: text Media type: electronic Carrier type: online resourceISBN: 9780470545379.Other title: Dynamic analysis and modeling.Subject(s): Signal processing | Biomedical engineering | Fuzzy logic | Neural networks (Computer science) | Signal Processing, Computer-Assisted | Algorithms | Biomedical Engineering | Fuzzy Logic | Models, Biological | Neural Networks (Computer) | Animals | Autoregressive processes | Baroreflex | Biographies | Biological system modeling | Blood | Chaos | Computational modeling | Correlation | Couplings | Discharges | Dogs | Electrocardiography | Electrodes | Electroencephalography | Entropy | Epilepsy | Equations | Estimation | Extraterrestrial measurements | Filling | Finite element methods | Fluctuations | Fractals | Heart | Heart beat | Heart rate variability | Hemodynamics | Heuristic algorithms | Histograms | Indexes | Lead | Mathematical model | Matrix decomposition | Maximum likelihood estimation | Noise | Nonlinear dynamical systems | Orbits | Oscillators | Particle measurements | Phase measurement | Polynomials | Probability | Resonant frequency | Rhythm | Signal processing algorithms | Spatiotemporal phenomena | Stochastic processes | Stomach | Synchronization | Time frequency analysis | Time series analysis | Trajectory | Valves | VentilationGenre/Form: Electronic books.Additional physical formats: Print version:: No titleDDC classification: 610/.285/632 Online resources: Abstract with links to resource Also available in print.
Contents:
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. Sornmo, 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.
Summary: 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.
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Includes bibliographical references and index.

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. Sornmo, 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.

Restricted to subscribers or individual electronic text purchasers.

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.

Also available in print.

Mode of access: World Wide Web

Description based on PDF viewed 12/29/2015.

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