Time-frequency microstructure of event-related electro-encephalogram desynchronisation and synchronisation.
A new method is presented for the analysis of event-related EEG phenomena, in particular event related desynchronisation (ERD) and event related synchronisation (ERS) related to a voluntary movement; the method offers: high time-frequency resolution and, hence, increased ERD/ERS sensitivity (especially in the gamma band, where improvement can exceed an order of magnitude); the ability to analyse the whole picture of energy changes at once, without setting a priori the analysed frequency bands; and a parametric description of the signal's structures. The main idea is based upon averaging energy distributions of single EEG trials in the time-frequency plane. As the estimator for the signal's energy density, matching pursuit is chosen, with stochastic Gabor dictionaries. Other possible estimates are presented on a simulated signal and discussed briefly. The consistency of the results with previous findings is evaluated on the data from a classical voluntary finger movement experiment.
Durka
P J
PJ
Laboratory of Medical Physics, Warsaw University, Poland. durka@fuw.edu.pl
Ircha
D
D
Neuper
C
C
Pfurtscheller
G
G
D000328:Adult; D004569:Electroencephalography / Q000379:methods*; D005385:Fingers / Q000502:physiology; D006801:Humans; D008297:Male; D009068:Movement / Q000502:physiology; D012815:Signal Processing, Computer-Assisted