A wavelet based de-noising technique for ocular artifact correction of the electroencephalogram

In this study, the technique of wavelet de-noising of the electroencephalogram (EEG) signal to correct ocular artifact (OA) is proposed. The Donoho technique is used in work as base method: 1) a wavelet transform is applied to the EEG record; 2) the thresholding of the coefficients in the lower frequency bands is performed; 3) the de-noised signal is reconstructed. The estimation of reached de-noising is under construction. The proposed technique allows to free from any limitation in using in experiments EEG contaminated with eye movements.