Investigate the impact of kernel dimensions on the capability of convolutional neural network model to decode neural drive from high-density EMG signal.
HD-EMG signals and corresponding neural drive signals, in form of composite spike train (CST), for training and validation of a deep CNN framework for neural drive estimation. We included processed da
