Time-frequency analysis of brain electrical activity--adaptive approximations.
OBJECTIVE
We present an approach to time-frequency analysis of bioelectrical signals.


METHODS
The method relays on the decomposition of the signal into a set of waveforms that have good localization both in time and in frequency. The waveforms belong to a highly redundant set of functions - allowing for a very accurate description of signal components.


RESULTS
Properties of the method are illustrated by simulations and applications to EEG.


CONCLUSIONS
The presented method delivers a common formalism suitable for describing both gross statistical properties of structures present in bioelectrical signals, as well as microstructure of chosen phenomena.
Blinowska
K J
KJ
Laboratory of Medical Physics, Institute of Experimental Physics, Warsaw University, Hoza 69, 00-681 Warsaw, Poland. katarzyna.blinowska@fuw.edu.pl
Durka
P J
PJ
Zygierewicz
J
J
D000465:Algorithms; D001921:Brain / Q000502:physiology*; D003198:Computer Simulation; D004569:Electroencephalography; D006801:Humans; D008962:Models, Theoretical; D012815:Signal Processing, Computer-Assisted; D012890:Sleep / Q000502:physiology*