Removal of the eye-blink artifacts from EEGs via STF-TS modeling and robust minimum variance beamforming

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...

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Bibliographic Details
Main Authors: K. Nazarpour, Yodchanan Wongsawat, Saeid Sanei, Jonathon Chambers, Soontorn Oraintara
Format: Default Article
Published: 2008
Subjects:
Mechanical engineering not elsewhere classified
Eye-blink
Artifact removal,
Parallel factor analysis
Robust minimum variance beamformer
Space time frequency
Mechanical Engineering not elsewhere classified
Online Access:https://hdl.handle.net/2134/5828
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