Methods of analysis of brain electrical and magnetic signals
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Bibliographic Information
Methods of analysis of brain electrical and magnetic signals
（Handbook of electroencephalography and clinical neurophysiology, . rev. ser. ; v. 1）
Elsevier , Sole distributors for the USA and Canada, Elsevier Science Pub. Co., 1987
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Description and Table of Contents
Description
This book presents a comprehensive, up-to-date discussion of the theoretical and practical aspects of all major types of computerized analysis of the mass electrical and magnetic signals of the brain. Its 19 chapters are authored by 17 of the world's leading authorities on these topics. Topics include introductions to computers and computer analysis, frequency analysis, epileptic spike detection, evoked potentials, stationary and nonstationary modeling, spatial analysis, source localization, magnetoencephalographic analysis, normative data bases, multivariate statistics, statistical pattern recognition, and analytical techniques used in the search for the physiological basis of the EEG. Each topic is self-contained and contains an extensive bibliography, intended to introduce neurologists, psychiatrists, neurophysiologists and other researchers to the issues involved in quantitative analysis, and the engineer and statistician to the practical problems of applying standard analytic methods to brain electrical and magnetic signals. The most advanced topics are covered in detail for the specialist. This is the first comprehensive, integrated handbook on this topic in over a decade.
Table of Contents
1. Introduction (A.S. Gevins). 2. Modern computer systems (J.J. Vidal). 3. Overview of computer analysis (A.S. Gevins). 4. Spectral analysis of EEG background activity (G. Dumermuth and L. Molinari). 5. Analysis of event-related potentials (G.D. McGillem and J.I. Aunon). 6. Correlation analysis (A.S. Gevins). 7. Mimetic techniques (J.D. Frost, Jr.). 8. Automated spike and sharp wave (SSW) detection (P.Y. Ktonas). 9. Parametric methods in EEG analysis (F.H. Lopes da Silva and N.J.I. Mars). 10. Non-stationary multichannel time series analysis (W. Gersch). 11. EEG analysis methods based on information theory (N.J.I. Mars and F.H. Lopes da Silva). 12. Principles of spatial analysis (D. Lehmann). 13. Source localization of brain electrical activity (D.H. Fender). 14. Analysis of neuromagnetic signals (S.J. Williamson and L. Kaufman). 15. Normative data banks and neurometrics. Basic concepts, methods and results of norm constructions (E.R. John, L.S. Prichep and P. Easton). 16. The use of statistics in electrophysiology (E.R. John, T. Harmony and P. Valdes-Sosa). 17. Statistical pattern recognition (A.S. Gevins). 18. Analytic techniques used in the search for the physiological basis of the EEG (W.J. Freeman). 19. Obstacles to progress (A.S. Gevins).
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