The concept of Brain-Computer Interface (BCI) has been introduced by Vidal in 1973, but it really emerged as a new field of research in the early nineties when systems allowing real-time processing of brain signals became available. Brain-Computer Interfacing has been listed by the ISTAG (http://cordis.europa.eu/fp7/ict/istag/) of EU as one of the most promising emerging technologies of the Neuro-ICT program for 2020 and beyond. In this context, a BCI is considered as an effective tool for rehabilitation and/or assistance of severely impaired patients. Developing such BCIs is the aim of our team, in which every member has a specific background on a theoretical field that is an asset for success: spatio-temporal signal processing, evidential reasoning and sensor fusion, data classification and clustering, constraint-based programming and human-computer interaction through multimodal interfaces. From an academic point of view, our goal is to develop hybrid BCIs, in which brain activity is analyzed jointly with one or several other signals in order to elaborate commands. From a technological point of view, we target the palliation of the severe motor handicap caused by Duchenne Muscular Dystrophy (DMD).
Traiter les hallucinations auditives réfractaires chez les patients souffrant de schizophrénie à l'aide de neurofeedback guidé par IRM fonctionnelle : un essai contrôlé randomisé
Brain-Computer Interface using Somatosensory-Evoked Potentials