Modulation of beta power in EEG during discrete and continuous motor imageries

Sébastien Rimbert 1 Cecilia Lindig-León 1 Mariia Fedotenkova 1, 2 Laurent Bougrain 1
1 NEUROSYS - Analysis and modeling of neural systems by a system neuroscience approach
Inria Nancy - Grand Est, LORIA - AIS - Department of Complex Systems, Artificial Intelligence & Robotics
Abstract : In most Brain-Computer Interfaces (BCI) experimental paradigms based on Motor Imageries (MI), subjects perform continuous motor imagery (CMI), i.e. a repetitive and prolonged intention of movement, for a few seconds. To improve efficiency such as detecting faster a motor imagery, the purpose of this study is to show the difference between a discrete motor imagery (DMI), i.e. a single short MI, and a CMI. The results of experiment involving 13 healthy subjects suggest that a DMI generates a robust post-MI event-related synchronization (ERS). Moreover event-related desynchronization (ERD) produced by DMI seems less variable in certain cases compared to a CMI.
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Communication dans un congrès
8th International IEEE EMBS Conference On Neural Engineering, May 2017, Shanghai, China. 2017, 〈http://neuro.embs.org/2017/〉
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Sébastien Rimbert, Cecilia Lindig-León, Mariia Fedotenkova, Laurent Bougrain. Modulation of beta power in EEG during discrete and continuous motor imageries. 8th International IEEE EMBS Conference On Neural Engineering, May 2017, Shanghai, China. 2017, 〈http://neuro.embs.org/2017/〉. 〈hal-01484503〉

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