BioMedical Engineering OnLine
Volume 2
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  ResearchFrom wavelets to adaptive approximations: time-frequency parametrization of EEGPiotr J Durka  Laboratory of Medical Physics, Institute of Experimental Physics, Warsaw University, Warszawa, Poland  author email corresponding author email
BioMedical Engineering OnLine 2003,
2:1doi:10.1186/1475-925X-2-1
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| Published: |
6 January 2003 |
Abstract
This paper presents a summary of time-frequency analysis of the electrical activity of the brain (EEG). It covers in details two major steps: introduction of wavelets and adaptive approximations. Presented studies include time-frequency solutions to several standard research and clinical problems, encountered in analysis of evoked potentials, sleep EEG, epileptic activities, ERD/ERS and pharmaco-EEG. Based upon these results we conclude that the matching pursuit algorithm provides a unified parametrization of EEG, applicable in a variety of experimental and clinical setups. This conclusion is followed by a brief discussion of the current state of the mathematical and algorithmical aspects of adaptive time-frequency approximations of signals. | 
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