Title :
A hybrid RABWC-STF method for eye-blink removal from EEG
Author :
Yi, Jun ; Su, Fei ; Cai, Anni
Author_Institution :
Sch. of Inf. & Commun. Eng., Beijing Univ. of Posts & Telecommun., Beijing, China
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.
Keywords :
array signal processing; electro-oculography; electroencephalography; medical signal processing; optimisation; EEG; PARAFAC; electrooculogram signal; eye blink removal; hybrid RABWC-STF method; robust adaptive beamforming; space time frequency model; worst case performance optimization; Adaptation model; Brain modeling; Electrooculography; Facsimile; Robustness; Surgery; electrooculogram (EOG); eye-blink removal; parallel factor analysis; robust adaptive beamforming; space-time-frequency model;
Conference_Titel :
Systems Man and Cybernetics (SMC), 2010 IEEE International Conference on
Conference_Location :
Istanbul
Print_ISBN :
978-1-4244-6586-6
DOI :
10.1109/ICSMC.2010.5642393
