Advances in Processing and Pattern Analysis of Biological Signals / Edition 1

by I. Gath, G.F. Inbar

Overview

In recent years there has been rapid progress in the development of signal processing in general, and more specifically in the application of signal processing and pattern analysis to biological signals. Techniques, such as parametric and nonparametric spectral estimation, higher order spectral estimation, time-frequency methods, wavelet transform, and identifi­ cation of nonlinear systems using chaos theory, have been successfully used to elucidate basic mechanisms of physiological and mental processes. Similarly, biological signals recorded during daily medical practice for clinical diagnostic procedures, such as electroen­ cephalograms (EEG), evoked potentials (EP), electromyograms (EMG) and electrocardio­ grams (ECG), have greatly benefitted from advances in signal processing. In order to update researchers, graduate students, and clinicians, on the latest developments in the field, an International Symposium on Processing and Pattern Analysis of Biological Signals was held at the Technion-Israel Institute of Technology, during March 1995. This book contains 27 papers delivered during the symposium. The book follows the five sessions of the symposium. The first section, Processing and Pattern Analysis of Normal and Pathological EEG, accounts for some of the latest developments in the area of EEG processing, namely: time varying parametric modeling; non-linear dynamic modeling of the EEG using chaos theory; Markov analysis; delay estimation using adaptive least-squares filtering; and applications to the analysis of epileptic EEG, EEG recorded from psychiatric patients, and sleep EEG.

Product Details

ISBN-13:	9780306452154
Publisher:	Springer US
Publication date:	07/31/1996
Series:	The Language of Science Series
Edition description:	1996
Pages:	424
Product dimensions:	7.01(w) x 10.00(h) x 0.04(d)

Table of Contents

Processing and Pattern Analysis of Normal and Pathological EEG.- 1. Some New Tools for EEG Modeling and Analysis.- 2. Signal Processing of EEG: Evidence for Chaos or Noise. an Application to Seizure Activity in Epilepsy.- 3. Markovian Analysis of EEG Signal Dynamics in Obsessive-Compulsive Disorder.- 4. EEG Sleep Staging Using Vectorial Autoregressive Models.- 5. Processing of Epileptic EEG.- 6. Simultaneous EEG Recordings from Olfactory and Limbic Brain Structures: Limbic Markers during Olfactory Perception.- Investigation of Psychophysiological Phenomena by Processing and Pattern Analysis of Evoked Potentials.- 7. Single Sweep Analysis of Evoked and Event Related Potentials.- 8. Spatio-Temporal Source Estimation of Evoked Potentials by Wavelet-Type Decomposition: Wavelet-Type Source Estimation of EPs.- 9. Modeling and Estimation of Amplitude and Time Shifts in Single Evoked Potential Components.- 10. Testing for Synchronization in Evoked Potentials Using Higher Order Spectra Technique.- 11. Analyses of Transient and Time-Varying Evoked Potentials for Detection of Brain Injury.- Processing and Pattern Analysis of Neuronal Cell Activity.- 12. Detection and Quantification of Correlations in Neural Populations by Coherence Analysis.- 13. System Identification of Spiking Sensory Neurons Using Realistically Constrained Nonlinear Time Series Models.- 14. Temporal Encoding of Visual Features by Cortical Neurons.- 15. Coherent Dynamics in the Frontal Cortex of the Behaving Monkey: Experimental Observations and Model Interpretation.- Processing and Pattern Analysis of ECG in Health and Disease.- 16. Analysis of Heart Rate Variability: A Review.- 17. The Heart Rate Variability Signal: Among Rhythms, Noise and Chaos.- 18. ECG Arrythmia Analysis: Design and Evaluation Strategies.-19. Fundamental Analyses of Ventricular Fibrillation Signals by Parametric, Nonparametric, and Dynamical Methods.- 20. Fetal ECG Detection and Applications.- 21. Processing, Feature Extraction and Classification of Body Surface Potential Maps.- Processing and Pattern Analysis of EMG and Human Movement.- 22. Source Characteristics from Inverse Modeling of EMG Signals.- 23. The EMG as a Window to the Brain: Signal Processing Tools to Enhance the View.- 24. Multi-Channel EMG Processing.- 25. Estimation of Human Elbow Joint Mechanical Transfer Function during Steady State and during Cyclical Movements.- 26. Characterizing and Modeling Human Arm Movements: Insights into Motor Organization.- 27. Processing and Pattern Analysis of Handwriting Movements.

Editorial Reviews

Twenty-seven papers from the March 1995 seminar consider processing and pattern analysis of normal and pathological EEG; of psychophysiological phenomena; of neuronal cell activity; of ECG in health and disease; and of EMG and human movement. A sampling of topics: modeling and estimation of amplitude and time shifts in single evoked potential components; detection and quantification of correlations in neural populations by coherence analysis; and characterizing and modeling human arm movements. Annotation c. by Book News, Inc., Portland, Or.

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