Matching pursuit and unification in EEG analysis
Author(s)
Bibliographic Information
Matching pursuit and unification in EEG analysis
（Artech House engineering in medicine & biology series）
Artech House, c2007
Available at 1 libraries
Note
Includes bibliographical references and index
HTTP:URL=http://www.loc.gov/catdir/toc/fy0802/2007280438.html Information=Table of contents
Contents of Works
- 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
Description and Table of Contents
Description
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.
Table of Contents
- Signal Analysis Basics
- EEG Analysis and Applications
- Mathematical Framework and Equations.
by "Nielsen BookData"