In order to improve the overestimation of ocular artifacts (OA) in electroencephalogram (EEG) and the OA removal effect of nonlinear mixture caused by environmental interference coupling

a novel automatic removal method is proposed based on fast kernel independent component analysis (FastKICA) and discrete wavelet transform (DWT)

and it is denoted as FKIWT.The independent components are separated from the mixed EEG by using the FastKICA algorithm

and the correlation coefficient is applied to identify OA component;Then

the Multiresolution analysis of OA is achieved with DWT

the approximation wavelet coefficients are set to zero and the detail wavelet coefficients are not changed.So more useful EEG is remained in the reconstructed OA component;Furthermore

the clean EEG is restored with the inverse algorithm of FastKICA.The experimental results show that FKIWT can effectively improve the overestimation of OA and has perfect anti-interference ability and robustness.Meanwhile

the better effects of OA elimination are also obtained on the condition that the linear or nonlinear mixed model is adopted

and the latter's advantage is especially obvious.The FKIWT is suitable for on-line application.