Alban Duprès

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In the context of brain-computer interfacing based on motor imagery, we propose a method allowing a human expert to supervise the selection of user-specific time-frequency features computed from EEG signals. Indeed, in the current state of BCI research, there is always at least one expert involved in the first stages of any experimentation. On one hand,(More)
This article presents work in progress concerning a hybrid brain computer interface (hBCI). Our goal is the palliation of severe motor disability for patients suffering from Duchenne muscular dystrophy (DMD). A hBCI involves several control channels to a pure brain computer interface (BCI). In our case we associate a motor imagery based BCI with EMG(More)
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