@inproceedings{59f752bb8eea4615af8a808d204decbd,
title = "Efficient implementation of RMVB for eyeblink artifacts removal of EEG via STF-TS modeling",
abstract = "In this paper, eyeblink artifacts of a multi-channel electroencephalogram (EEG) are extracted and removed by employing a spatial filter designed using the proposed efficient method via the robust minimum variance beamforming (RMVB). Unlike the conventional method where the spatial filter is designed using the correlation and prior knowledge of eyeblink from all channels of EEG, the spatial filter is obtained by simultaneously taking into consideration the local correlation and prior knowledge of each groups of EEG channels. The prior knowledge is obtained by taking into account the space-time-frequency information via the STF-TS model. Simulation results show that, by using less computational complexity, the proposed method can efficiently remove eyeblink artifacts from the multichannel EEG as well as the conventional method.",
keywords = "Artifact removal, Beamforming, EEG, Eyeblink, Spatial filter",
author = "Yodchanan Wongsawat",
year = "2009",
doi = "10.1109/ROBIO.2009.4913234",
language = "English",
isbn = "1901725537",
series = "2008 IEEE International Conference on Robotics and Biomimetics, ROBIO 2008",
publisher = "IEEE Computer Society",
pages = "1567--1572",
booktitle = "2008 IEEE International Conference on Robotics and Biomimetics, ROBIO 2008",
note = "1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 1999 ; Conference date: 21-02-2009 Through 26-02-2009",
}