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Therefore, one can be confident that the frontal maximum observed on S1b is due to seizure propagation and not due to an eye artefact.
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Nevertheless, components corresponding to eye artefacts can be easily recognised and rejected.
This way, the ictal source was ranked first provided that no eye artefacts were present in the data.
We showed three related examples, a seizure severely contaminated with eye artefacts, one with evolving frequency and finally another one which spreads to distant brain regions.
Then, correction of EEG-channels with continuous muscle activity and removal of eye artefacts was performed by using an independent component analysis (ICA -based approach [ 32, 33].
In order to avoid considerable loss of data due to the rejection of artefact-contaminated EEG epochs, we ran an independent component analysis (ICA) to correct for eye artefacts.
After correction for eye artefacts from the recording channels power spectral analysis, displayed as a topographical brainmap showing the absolute and relative power for delta, theta, alpha and beta frequency are analyzed.
Then, the independent component analysis (ICA -based approach [ 21, 22] was used for both the removal of eye artefacts and the correctICA -based-chapproachith continuous muscle activity.
Eye blink and eye movements were monitored by recording EOG signals, and trials containing eye-artefacts were eliminated from further processing.
Moreover, the eye blink artefact is captured in the second BTD component (see T2a and S2a).
The second CPD component resembles an eye blink artefact, as indicated by the frontal maximum of the spatial pattern S2 and the two eye blink patterns between 500 and 1,000 samples on the temporal signature T2.
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