Elena Roxana Marolicaru
From intracranial signals decoding to FES: a first approach using simulation of electrical pulses for objects grasping.
Rel. Michela Meo, Mauricio Perez, Robin Augustine, Guido Pagana. Politecnico di Torino, Corso di laurea magistrale in Ict For Smart Societies (Ict Per La Società Del Futuro), 2022
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Abstract
Nowadays, there is a growing interest in those people with a lack of limb movement ability, with the aim of giving them the capacity to perform voluntary movements, for instance, through supporting exoskeletons or through electrical muscle stimulation. In some cases, these are people who have undergone amputations of one or more limbs, in other cases they are patients with SCI. The MMG group at Uppsala University, which hosted the development of this project, aims to open the door to a new way of developing BCIs, as suggested by their work in B-CRATOS, an ambitious interdisciplinary project of which several partners are part.
The present work falls within this context, with the objective of simulating the muscular stimulation through Functional Electrical Stimulation (FES) technique starting from decoding intracranial signals with Artificial Intelligence (AI)
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