Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.
DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.
Brain-Computer Interfaces convey a great potential in the field of stroke rehabilitation, where the continuous monitoring of the execution of mental tasks could support the positive effects of the therapy by reinforcing specific mental patterns. We propose the use of EEG Microstates as the building blocks of a novel BCI for Operators, and we show that preliminary results on a stroke patient seem to confirm that topographic information can provide hints on salient activity patterns on the affected hemisphere not recognizable within a simple discriminant framework. Furthermore, the technique could easily keep track of the evolution of these maps over different rehabilitation sessions, thus providing a strong hint of plasticity phenomena and cortical reorganization.
Maria del Carmen Sandi Perez, Dogukan Hazar Ülgen