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.
Type de document :
Article dans une revue
Journal of Neuroscience Methods, Elsevier, 2013, 216 (2), pp.96-103. 〈10.1016/j.jneumeth.2013.03.026〉
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Contributeur : Eoin Thomas <>
Soumis le : lundi 13 mai 2013 - 16:20:28
Dernière modification le : mercredi 24 janvier 2018 - 14:56:12

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

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