October 27, 2026 at 2 PM
Abstract:
Brain–machine interfaces (BMIs) have recently emerged as promising rehabilitation tools for promoting recovery of lost motor function. By enabling direct communication between the brain and an external device such as a robotic exoskeleton, BMIs offer a novel approach to rehabilitation. Subjects are required to engage in specific mental practices that translate into concrete actions in the output device. One such practice is motor imagery (MI), which involves the imagination of a given movement without actually executing it. When used to generate a movement-associated stimulus that is provided by the robotic exoskeleton, MI offers an effective strategy for facilitating motor recovery through enhancing the principles of neural plasticity. This talk will present several examples of BMIs that have been developed at Universidad Miguel Hernandez de Elche (Spain) to command lower-limb exoskeletons.
The team meeting will be at 2pm in the A22 room.
José Maria Azorin Poveda, Professor at Miguel Hernández University in Elche
A22 room, building Inria
français
English