Recently, the development of prosthetic hand systems for hand amputees has attracted wide research interests. otion-related myoelectric potentials measured from the surface of upper part of forearms were mostly employed to construct the interface between amputees and prostheses However, finger motions could not be recognized from surface EMG (Electromyogram) signals. the basic idea of this stud...

It is well known that Surface Electromyography is the activity that is being generated when voluntary contraction took place, so in this investigation, the study of Surface Electromyogram (SEMG) signals at different above-elbow muscles were carried out. These signals were easily acquired from surface of skin of the body using non-invasively house design of hardware system and various techniques...

We introduce a new method to perform a blind deconvolution of the surface electromyogram (EMG) signals generated by isometric muscle contractions. The method extracts the information from the raw EMG signals detected only on the skin surface, enabling longtime noninvasive monitoring of the electromuscular properties. Its preliminary results show that surface EMG signals can be used to determine...

The human motor system permits a wide variety of complex movements. Thereby, the inter-individual variability as well as the biomechanical aspects of the performed movement itself contribute to the challenge of the interpretation of sEMG signals in dynamic contractions. A procedure for the systematic analysis of sEMG recordings during dynamic contraction was introduced, which includes categoriz...

Amulti source domain adaptation based learning for addressing subject based variability in myoelectric signals (SEMG), enabling generalized framework for detecting