Federico Fabiani
Brain-machine interface for actuating a bionic prosthetic arm.
Rel. Monica Visintin, Guido Pagana. Politecnico di Torino, Corso di laurea magistrale in Ict For Smart Societies (Ict Per La Società Del Futuro), 2021
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Abstract
Recent progress in neurobiology go hand to hand with the development of artificial intelligence. The latter in fact, allows to decode the complex patterns underlying the brain activity recorded by new generation implanted electrodes. This combination represent the turning point in the development on neuroprosthetic. In the past decades we observed huge advancements in this field, with paralytics patients driving wheelchairs by visual stimulation, monkey controlling robotic arms, or patients moving a cursor with their minds to write on a virtual keyboard. However no project ever tried to be as ambitious as some are doing be now, such as Neuralink or B-Cratos, that aim at pushing to a new limit the concept of neural interface.
The new challenge for the next decade then, is to develop closed-loop decoders, that not only could allow fine controlling of bionic prosthesis exploiting intra-cranial EEG recordings (with their low signal to noise ratio), but also to provide sensory feedback as response, replicating the realistic neural response in the patient brain
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