ANR project BCI4IA funded!

The BCI4IA project proposes to detect intraoperative awareness reliably by analyzing, in real-time, brain motor activity under general anesthesia with a Brain-Computer Interface (BCI) based on Median Nerve Stimulation and innovative machine learning methods. Partners are: – University hospital of Nancy; – Univ. of Lorraine/LORIA/Neurorhythms; – Inria Potioc; – University…

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ANR project GraspIT funded

The GRASP-IT project aims to recover upper limb control improving the kinesthetic motor imagery (KMI) generation of post-stroke patients using a tangible and haptic interface within a gamified Brain-Computer Interface (BCI) training environment. (i) This innovative KMI-based BCI will integrate complementary modalities of interactions such as tangible and haptic interactions…

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