FORCe: fully online and automated artifact removal for brain-computer interfacingDaly, I., Scherer, R., Billinger, M. and Mueller-Putz, G. (2015) FORCe: fully online and automated artifact removal for brain-computer interfacing. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 23 (5). pp. 725-736. ISSN 1534-4320 Full text not archived in this repository. It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing. To link to this item DOI: 10.1109/TNSRE.2014.2346621 Abstract/SummaryA fully automated and online artifact removal method for the electroencephalogram (EEG) is developed for use in brain-computer interfacing. The method (FORCe) is based upon a novel combination of wavelet decomposition, independent component analysis, and thresholding. FORCe is able to operate on a small channel set during online EEG acquisition and does not require additional signals (e.g. electrooculogram signals). Evaluation of FORCe is performed offline on EEG recorded from 13 BCI particpants with cerebral palsy (CP) and online with three healthy participants. The method outperforms the state-of the-art automated artifact removal methods Lagged auto-mutual information clustering (LAMIC) and Fully automated statistical thresholding (FASTER), and is able to remove a wide range of artifact types including blink, electromyogram (EMG), and electrooculogram (EOG) artifacts.
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