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FORCe: Fully Online and Automated Artifact Removal for Brain-Computer Interfacing.

Daly, Ian and Scherer, Reinhold and Billinger, Martin and Müller-Putz, Gernot (2015) 'FORCe: Fully Online and Automated Artifact Removal for Brain-Computer Interfacing.' IEEE Transactions on Neural Systems and Rehabilitation Engineering, 23 (5). 725 - 736. ISSN 1534-4320

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Abstract

A fully automated and online artifact removal method for the electroencephalogram (EEG) is developed for use in brain-computer interfacing (BCI). 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 for EEG artifact Rejection (FASTER), and is able to remove a wide range of artifact types including blink, electromyogram (EMG), and electrooculogram (EOG) artifacts.

Item Type: Article
Uncontrolled Keywords: Brain, Humans, Cerebral Palsy, Electroencephalography, Artifacts, Sensitivity and Specificity, Reproducibility of Results, Evoked Potentials, Algorithms, Principal Component Analysis, Internet, Signal Processing, Computer-Assisted, Software, Online Systems, Pattern Recognition, Automated, Female, Male, Wavelet Analysis, Brain-Computer Interfaces
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Elements
Date Deposited: 18 May 2020 13:17
Last Modified: 18 May 2020 14:15
URI: http://repository.essex.ac.uk/id/eprint/25444

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