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). pp. 725-736. DOI https://doi.org/10.1109/tnsre.2014.2346621
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). pp. 725-736. DOI https://doi.org/10.1109/tnsre.2014.2346621
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). pp. 725-736. DOI https://doi.org/10.1109/tnsre.2014.2346621
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 |
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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 Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 18 May 2020 13:17 |
Last Modified: | 30 Oct 2024 20:32 |
URI: | http://repository.essex.ac.uk/id/eprint/25444 |
Available files
Filename: Daly2015b.pdf