A hybrid RABWC-STF method for eye-blink removal from EEG

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Jun Yi, Fei Su, Anni Cai

Published: 01 Jan 2010, Last Modified: 13 Nov 2024SMC 2010EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: In this paper, a hybrid method of the Robust Adaptive Beamforming based on Worst-case Performance Optimization (RABWC) and Space-Time-Frequency (STF) model is utilized for the eye-blink removal. RABWC is utilized to extract electrooculogram (EOG) signal and the STF model to provide an estimation of the steering vector corresponding to EOG for RABWC. Benefiting from the solution uniqueness of PARAFAC and the robustness of RABWC, this method can obtain a robust result without imposing irrational constraints.