From wavelets to adaptive approximations: time-frequency parametrization of EEG |
| |
Authors: | Piotr J Durka |
| |
Institution: | (1) Laboratory of Medical Physics, Institute of Experimental Physics, Warsaw University, Warszawa, Poland |
| |
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. |
| |
Keywords: | |
本文献已被 SpringerLink 等数据库收录! |
|