Method for ocular artifact correction of cognitive electrophysiological signals

Electrical potentials generated by movement of the eye dipoles or by slow potential shifts over the retinal pigment epithelium can cause strong contamination of the electroencephalogram or the event related potentials. An efficient method, which compromises between the signal quality after the ocular artifact correction and the computation load, is developed. The method can be applied for the artifact correction of the data containing both DC and AC components, and thus, is convenient for the analysis of electrophysiological signals such as P300, event related synchronisation /desynchronisation, contingent negative variation (CNV) and other slow potentials. A modification of the method can be utilized for online applications such as brain computer interface (BCI).