The use of Matlab for colour fuzzy representation of multichannel EEG short time spectra.
During the last years, a lot of EEG research efforts was directed to intelligent methods for automatic analysis of data from multichannel EEG recordings. However, all the applications reported were focused on specific single tasks like detection of one specific "event" in the EEG signal: spikes, sleep spindles, epileptic seizures, K complexes, alpha or other rhythms or even artefacts. The aim of this paper is to present a complex system being able to perform a representation of the dynamic changes in frequency components of each EEG channel. This representation uses colours as a powerful means to show the only one frequency range chosen from the shortest epoch of signal able to be processed with the conventional "Short Time Fast Fourier Transform" (S.T.F.F.T.) method.
Bigan
C
C
Politehnica University of Bucharest, Bd. Iuliu Maniu 1-3, Bucharest, Romania.
Strungaru
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R
D001185:Artificial Intelligence; D002540:Cerebral Cortex / Q000502:physiology; D003196:Computer Graphics; D004569:Electroencephalography; D005103:Expert Systems; D005583:Fourier Analysis; D017143:Fuzzy Logic; D006801:Humans; D012815:Signal Processing, Computer-Assisted