Manal Ezzahiri
A preliminary study for EEG-based BCI development for FES control.
Rel. Danilo Demarchi, Fabio Rossi, Andrea Mongardi. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Biomedica, 2022
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Abstract
The use of motor imagery to activate motor-related brain areas represents an effective tool for promoting motor rehabilitation in individuals with severe muscle deficits. The oscillations in neuronal activity occuring during motor imagery can be acquired and processed into external outputs by using Brain Computer Interface (BCI) systems. To improve the effectiveness of rehabilitation procedures, it is useful to combine BCI and a Functional Electrical Stimulation (FES) device, which takes as input the signal processed by the BCI and translates it into a stimulation that generates movement in the compromised limb. Indeed, an approach based on simultaneous activation of cortical regions (through motor imagery) and motor nerves of the muscle of interest (through FES) has the potential to promote functional reorganization of cortical structures, thereby improving the results of the rehabilitation procedure.
Therefore, the development of new techniques for acquiring and processing neural activity to provide accurate inputs for FES activation plays a central role in the field of rehabilitation
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