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Matching pursuit and unification in EEG analysis / Piotr Durka.

EBSCOhost Academic eBook Collection (North America) Available online

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Format:
Book
Author/Creator:
Durka, Piotr.
Series:
Artech House engineering in medicine & biology series.
Artech House engineering in medicine & biology series
Language:
English
Subjects (All):
Electroencephalography--Analysis.
Electroencephalography.
Signal processing.
Physical Description:
1 online resource (204 p.)
Edition:
1st ed.
Place of Publication:
Boston : Artech House, c2007.
Language Note:
English
Summary:
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. Publisher abstract.
Contents:
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.
Notes:
Description based upon print version of record.
Includes bibliographical references and index.
ISBN:
1-58053-319-1
OCLC:
437208191

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