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Matching pursuit and unification in EEG analysis.


Matching pursuit and unification in EEG analysis.

Durka, Piotr.

Artech House


184 pages



Artech House engineering in medicine and biology series


This comprehensive account of the theoretical and mathematical basis of adaptive time-frequency electroencephalogram (EEG) signal analysis includes extensive material on how the corresponding algorithms can be applied to everyday practice. Durka (biomedical physics, Warsaw U.) uses explicit parameters of EEG transients and selective estimates of energy in his applications to such research and clinical areas as sleep, pharmaco-EEG and epilepsy research. He covers signals, analysis, the spectrum, time v. frequency, choosing the representation, adaptive approximations and basic practical issues along with analysis of seizures, event-related desynchronization and synchronization and spatial localization of cerebral sources, then describes equations and technical details such as adaptive approximation and matching pursuit, statistic significance of changes in the time-frequency plane and details and tricks of implementation. The result is useful for practitioners as well as students.

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Publication:SciTech Book News
Article Type:Book Review
Date:Sep 1, 2007
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