Nowadays, electromyographic signals are one of the most widely used techniques to
acquire the electrical activity produced by muscle contractions and relaxations, these signals …

This paper presents the research results given by a convolutional neural network trained
with continuous Wavelet transform (CWT) images for the classification of six hand grip …

Stroke is a significant global health concern, ranking among the top causes of death and
disability. Timely poststroke recovery hinges on structured upper limb rehabilitation within …

Surface electromyography (EMG) is a noninvasive signal acquisition method that plays a
central role in too many applications, including clinical diagnostics, prosthetic device …

In recent times, electromyographic (EMG) signals have emerged as a prominent technique
for capturing the electrical activity generated during muscle contractions and relaxations …

Surface electromyographic (sEMG) signals are a noninvasive signal acquisition method that
plays a central role in the monitoring of prosthetic devices because they provide information …

This paper presents advanced software for the comprehensive analysis of biomedical
signals like EMG, ECG, and EEG. It enables the import, feature extraction, and correlation …