A non-invasive EEG-based Brain-Machine Interface for the control of myoelectric prostheses
Résumé
A large extent of the literature is dedicated to the control of robotic arms using invasive brain-machine interfaces (BMI) for people with tetraplegia. There are fewer examples reporting the use of non-invasive techniques for the control of prosthesis by people with amputation like the work we are presenting here. Our system combines an electroencephalography (EEG) recording system and a sensory feedback device to control a Myobock prosthesis. We studied the control performance of this BMI based control system when used by amputees and able-bodied people.
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