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Table of contents (27 chapters)
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Processing and Pattern Analysis of Normal and Pathological EEG
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Investigation of Psychophysiological Phenomena by Processing and Pattern Analysis of Evoked Potentials
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Processing and Pattern Analysis of Neuronal Cell Activity
Keywords
About this book
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.
Editors and Affiliations
Bibliographic Information
Book Title: Advances in Processing and Pattern Analysis of Biological Signals
Editors: Isak Gath, Gideon F. Inbar
DOI: https://doi.org/10.1007/978-1-4757-9098-6
Publisher: Springer New York, NY
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media New York 1996
Hardcover ISBN: 978-0-306-45215-4Published: 31 July 1996
Softcover ISBN: 978-1-4757-9100-6Published: 23 April 2013
eBook ISBN: 978-1-4757-9098-6Published: 29 June 2013
Edition Number: 1
Number of Pages: XI, 424