Neural Signals and Signal Processing

This lecture covers topics related to neural signals and signal processing, including cortical signals, intracortical signals, EMG control for robotic systems, muscle synergies, spinal maps, HD-EMG, targeted muscle reinnervation, and EMG-based control of prosthetic devices. It explores the extraction of meaningful information from different signals, the advantages and disadvantages of various signal processing techniques, and the application of pattern recognition in controlling prosthetic limbs. The content delves into the decoding of neural drive for controlling prosthetic hands, the use of targeted muscle reinnervation for prosthetic control, and the benefits of parallel dual-site control in improving performance. The lecture also discusses the potential of EMG signals in controlling robotic systems and the importance of accurate decoding for brain-computer interfaces.