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Combining ERD and ERS features to create a system-paced BCI

Eoin Thomas 1 Joan Fruitet 1 Maureen Clerc 1 
1 ATHENA - Computational Imaging of the Central Nervous System
CRISAM - Inria Sophia Antipolis - Méditerranée
Abstract : An important factor in the usability of a brain-computer interface (BCI) is the setup and calibration time required for the interface to perform accurately. Recently, brain-switches based on the rebound following motor imagery of a single limb effector have been investigated as basic BCIs due to their good performance with limited electrodes, and brief training session requirements. Here, a BCI is proposed which expands the methodology of brain-switches to design an interface composed of multiple brain-controlled buttons. The algorithm is designed as a system paced interface which can recognise 2 intentional-control tasks and a no-control state based on the activity during and following motor imagery in only 3 electroencephalogram channels. An online experiment was performed over 6 subjects to validate the algorithm, and the results show that a working BCI can be trained from a single calibration session and that the post motor imagery features are both informative and robust over multiple sessions.
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Submitted on : Monday, May 13, 2013 - 4:20:28 PM
Last modification on : Saturday, June 25, 2022 - 11:10:01 PM




Eoin Thomas, Joan Fruitet, Maureen Clerc. Combining ERD and ERS features to create a system-paced BCI. Journal of Neuroscience Methods, 2013, 216 (2), pp.96-103. ⟨10.1016/j.jneumeth.2013.03.026⟩. ⟨hal-00821973⟩



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