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FORCe: fully online and automated artifact removal for brain-computer interfacing

Daly, 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

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To link to this item DOI: 10.1109/TNSRE.2014.2346621

Abstract/Summary

A 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.

Item Type:Article
Refereed:Yes
Divisions:Faculty of Life Sciences > School of Biological Sciences > Department of Bio-Engineering
ID Code:40610
Publisher:IEEE

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