Removing ocular artifact of EEG signal using SOBI-RO on motor imagery experiment

Abstract

Eye blinking known as ocular artifact cause changes to the electric fields over the scalp and as a result, EEG recordings are often significantly distorted and theirinterpretation problematic. In this paper, an algorithm using second order blind identification with robust orthogonalization (SOBI-RO) is used to remove the ocular artifact in amotor imagery experiment.Simulation results shows that the ocular artifacts are significantly removed and the sources of the brain activity are clearly identified. The identification performance using signal to distortion ratio value about 68.88% is achieved.

High-speed ocular artifacts removal of multichannel EEG based on improved moment matching

“…SOBI utilizes secondorder statistics and time series characteristics of source signals. This method is robust and straightforward compared with ICA in processing efficiency, however, it is still computationally heavy and not suitable for tackling blink artifacts in narrow time slots [14,15]. Besides, Peng et al [16] and Zhao et al [17] propose denoising algorithms that combine wavelet transform with adaptive filters and improved adaptive filters, respectively.…”