Automatic artefact removal in a self-paced hybrid brain- computer interface system
Open Access
- 1 January 2012
- journal article
- research article
- Published by Springer Nature in Journal of NeuroEngineering and Rehabilitation
- Vol. 9 (1) , 50
Abstract
A novel artefact removal algorithm is proposed for a self-paced hybrid brain-computer interface (BCI) system. This hybrid system combines a self-paced BCI with an eye-tracker to operate a virtual keyboard. To select a letter, the user must gaze at the target for at least a specific period of time (dwell time) and then activate the BCI by performing a mental task. Unfortunately, electroencephalogram (EEG) signals are often contaminated with artefacts. Artefacts change the quality of EEG signals and subsequently degrade the BCI’s performance.Keywords
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