A methodology based on the signal separation technique of extended independ
ent component analysis (ICA) is devised to analyse saccade-related electroe
ncephalogram (FEG) waveforms. The methodology enables saccade-related compo
nents to be successfully extracted from the EEG mixtures and the brain regi
ons responsible for their generation to be identified.