Motor Neuroprosthetics: Decoding and Control

This lecture covers the fundamentals of motor neuroprosthetics, focusing on peripheral nervous system concepts, movement restoration, motor decoding using electromyography, and advanced techniques like machine learning for EMG decoding. It also discusses upper limb amputations, causes, psychological aspects, and societal perceptions. The use of robotic prosthetic hands, implantable systems, and osseointegration for sensory feedback and motor control is explored. The lecture emphasizes the importance of stable signals, reliable sensory feedback, and the future challenges in neuroprosthetics.