Title
Removal of the eye-blink artifacts from EEGs via STF-TS modeling and robust minimum variance beamforming.
Abstract
A novel scheme for the removal of eye-blink (EB) artifacts from electroencephalogram (EEG) signals based on a novel space--time--frequency (STF) model of EEGs and robust minimum variance beamformer (RMVB) is proposed. In this method, in order to remove the artifact, the RMVB is provided with a priori information, namely, an estimation of the steering vector corresponding to the point source EB art...
Year
DOI
Venue
2008
10.1109/TBME.2008.919847
IEEE Transactions on Biomedical Engineering
Keywords
Field
DocType
Electroencephalography,Brain modeling,Robustness,Array signal processing,Electrooculography,Independent component analysis,Multiple signal classification,Scalp,Digital signal processing,Principal component analysis
Minimum-variance unbiased estimator,Digital signal processing,Computer science,A priori and a posteriori,Robustness (computer science),Artificial intelligence,Time domain,Computer vision,Pattern recognition,Speech recognition,Independent component analysis,Principal component analysis,Computational complexity theory
Journal
Volume
Issue
ISSN
55
9
0018-9294
Citations 
PageRank 
References 
6
0.58
22
Authors
5
Name
Order
Citations
PageRank
Kianoush Nazarpour17519.08
Yodchanan Wongsawat25611.17
Saeid Sanei314116.70
Jonathon Chambers486882.37
Oraintara, Soontorn51629.81