Nonlinear Biomedical Signal Processing: Dynamic Analysis and Modeling, Volume 2

• Publisher: Wiley-IEEE Press
• Year: 2000
• Tongue: English
• Leaves: 362
• Category: Library

✦ Synopsis

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 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.Content:
Chapter 1 Nonlinear Dynamics Time Series Analysis (pages 1–39): Bruce Henry, Nigel Lovell and Fernando Camacho
Chapter 2 Searching for the Origin of Chaos (pages 40–71): Tomoyuki Yambe, Makoto Yoshizawa, Kou?ichi Tabayashi and Shin?ichi Nitta
Chapter 3 Approximate Entropy and Its Application to Biosignal Analysis (pages 72–91): Yang Fusheng, Hong Bo and Tang Qingyu
Chapter 4 Parsimonious Modeling of Biomedical Signals and Systems: Applications to the Cardiovascular System (pages 92–132): P. Celka, J.M. Vesin, R. Vetter, R. Grueter, G. Thonet, E. Pruvot, H. Duplain and U. Scherrer
Chapter 5 Nonlinear Behavior of Heart Rate Variability as Registered after Heart Transplantation (pages 133–158): C. Maier, H. Dickhaus, L.M. Khadra and T. Maayah
Chapter 6 Heart Rate Variability: Measures and Models (pages 159–213): Malvin C. Teich, Steven B. Lowen, Bradley M. Jost, Karin Vibe?Rheymer and Conor Heneghan
Chapter 7 Ventriculoarterial Interaction after Acute Increase of the Aortic Input Impedance: Description using Recurrence Plot Analysis (pages 214–227): Stephen Schulz, Robert Bauernschmitt, Andreas Schwarzhaupt, C. F. Vahl and Uwe Kiencke
Chapter 8 Nonlinear Estimation of Respiratory?Induced Heart Movements and Its Application in ECG/VCG Signal Processing (pages 228–245): Leif Sornmo, Magnus Astrom, Elena Carro, Martin Stridh and Pablo Laguna
Chapter 9 Detecting Nonlinear Dynamics in Sympathetic Activity Directed to the Heart (pages 246–262): Alberto Porta, Giuseppe Baselli, Nicola Montano, Alberto Malliani and Sergio Cerutti
Chapter 10 Assessment of Nonlinear Dynamics in Heart Rate Variability Signal (pages 263–281): Maria G. Signorini, Roberto Sassi and Sergio Cerutti
Chapter 11 Nonlinear Deterministic Behavior in Blood Pressure Control (pages 282–293): Nigel Lovell, Bruce Henry, Branko Celler, Fernando Camacho, Drew Carlson and Martha Connolly
Chapter 12 Measurement and Quantification of Spatiotemporal Dynamics of Human Epileptic Seizures (pages 294–318): L D. Lasemidis, J. C. Principe and J. C. Sackellares
Chapter 13 Rhythms AMD Chaos in the Stomach (pages 319–338): Z. S. Wang, M. Abo and J. D. Z. Chen