Matching pursuit and unification in EEG analysis
著者
書誌事項
Matching pursuit and unification in EEG analysis
（Artech House engineering in medicine & biology series）
Artech House, c2007
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注記
Includes bibliographical references and index
HTTP:URL=http://www.loc.gov/catdir/toc/fy0802/2007280438.html Information=Table of contents
収録内容
- I. Some basic notions
- Signal: going digital
- Analysis
- Spectrum
- Between time and frequency
- Choosing the representation
- Advantages of adaptive approximations
- Caveats and practical issues
- II. EEG analysis
- Parameterization of EEG transients
- Epileptic seizures
- Event-related desynchronization and synchronization
- Elective estimates of energy
- Spatial localization of cerebral sources
- III. Equations and technical details
- Adaptive approximations and matching pursuit
- Implementation: details and tricks
- Statistical significance of changes in the time-frequency plane
内容説明・目次
内容説明
Although visual analysis of EEGs has been the state of the art in electroencephalography for 70 years, advanced signal processing methods offer a superior alternative in numerous biomedical clinical and research applications. This first-of-its-kind guide bridges the gap from visual analysis to signal processing techniques, providing engineers, researchers, and clinicians with an innovative, clear methodology for biomedical signal analysis. The book covers various applications in sleep, ERD/ERS, pharmaco-EEG, and epilepsy research, featuring full mathematical details to help engineers and researchers modify procedures or design all-new frameworks for biomedical signal analysis. Including a web link where readers can freely download the software used in the applications, this unique resource will prove indispensable to all biomedical engineers and researchers looking to broaden the applicability of EEGs and blaze new trails in biomedical signal analysis and research.
目次
- Signal Analysis Basics
- EEG Analysis and Applications
- Mathematical Framework and Equations.
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