A novel semiblind signal extraction approach for the removal of eye-blink artifact from EEGs
Nazarpour, K, Mohseni, HR, Hesse, CW, Chambers, JA and Sanei, S (2008) A novel semiblind signal extraction approach for the removal of eye-blink artifact from EEGs EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING, 2008, ARTN 8.
A Novel Semiblind Signal Extraction Approach for.pdf
Available under License : See the attached licence file.
A novel blind signal extraction (BSE) scheme for the removal of eye-blink artifact from electroencephalogram (EEG) signals is proposed. In this method, in order to remove the artifact, the source extraction algorithm is provided with an estimation of the column of the mixing matrix corresponding to the point source eye-blink artifact. The eye-blink source is first extracted and then cleaned, artifact-removed EEGs are subsequently reconstructed by a deflation method. The a priori knowledge, namely, the vector, corresponding to the spatial distribution of the eye-blink factor, is identified by fitting a space-time-frequency (STF) model to the EEG measurements using the parallel factor (PARAFAC) analysis method. Hence, we call the BSE approach semiblind signal extraction (SBSE). This approach introduces the possibility of incorporating PARAFAC within the blind source extraction framework for single trial EEG processing applications and the respected formulations. Moreover, aiming at extracting the eyeblink artifact, it exploits the spatial as well as temporal prior information during the extraction procedure. Experiments on synthetic data and real EEG measurements confirm that the proposed algorithm effectively identifies and removes the eye-blink artifact from raw EEG measurements.
|Divisions :||Faculty of Engineering and Physical Sciences > Computing Science|
|Date :||1 January 2008|
|Identification Number :||10.1155/2008/857459|
|Uncontrolled Keywords :||Science & Technology, Technology, Engineering, Electrical & Electronic, Engineering, PARALLEL FACTOR-ANALYSIS, SPATIAL CONSTRAINTS, PARAFAC, DECOMPOSITION, ALGORITHM, ELECTROENCEPHALOGRAM, LOCALIZATION, COMPONENTS, SYSTEMS, MODELS|
|Related URLs :|
|Additional Information :||Copyright © 2008 Kianoush Nazarpour et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.|
|Depositing User :||Symplectic Elements|
|Date Deposited :||14 Dec 2012 11:17|
|Last Modified :||16 Mar 2015 14:33|
Actions (login required)
Downloads per month over past year