A convolutional neural network to identify motor units from high-density surface electromyography signals in real time

Abstract Objectives . This paper aims to investigate the feasibility and the validity of applying deep convolutional neural networks (CNN) to identify motor unit (MU) spike trains and estimate the neural drive to muscles from high-density electromyography (HD-EMG) signals in real time. Two distinct ... View More