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Because of the overlap of topographies of the two sources in EEG, detection accuracy of source 2 was lower than source 1 in EEG localizations for both MNE and cMEM.
Furthermore, no changes in EEG asymmetry were detected.
No analogous statistically significant changes were observed in EEG rhythms.
Open image in new window Fig. 1 Frequency bands clinically established and usually found in EEG.
Very small variations in EEG signals depict a definite type of brain abnormality.
Here we characterize the phase relationship between stimulation current and tES artifacts in EEG and MEG.
Different sleep stages are associated with distinct dynamical patterns in EEG signals.
On the other hand, in EEG analysis we are faced with imprecise, inconsistent and paracomplete data.
Mental task classification is a new and challenging trend in EEG signal processing.
The hippocampus is the main source of rhythmic activity in EEG (Tsanov et al. 2011).
Hence, blind source separation (BSS) methods have found various applications in EEG analysis in general.
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