Graphical interface for time and frequency patterns extraction in surface electromyography signals using Hilbert-Huang Transform.

This paper presents the results of having developed a graphical interface in AppDesigner that allows the extraction of temporal, frequency, and those based on the Hilbert-Huang Transform features of surface electromyography signals (sEMG) of four hamstring muscles during extension of the leg. The graphical interface is useful for feature extraction of sEMG signals to identify the a subject's movement; actually, the exported feature vector that the interface yielded could be use to train a neural network for an intelligent prosthetics.