Abstract: In this paper, we describe a simulation system of myopathicsurface electromyography (sEMG) signals. The architecture of the proposed system consists of two cascading modules. SEMG signals of three pathological skeletal muscles (Biceps Brachii, InterosseursDorsalis, TibalisAnterior) were generated. Root Mean Square (RMS Envelope) and Power Spectral Density (PSD) were used to validate our system.

Amira Dridi, Jassem Mtimet and Slim Yacoub. “Towards Implementing Framework to Generate Myopathic Signals”. International Journal of Advanced Computer Science and Applications (IJACSA) 10.3 (2019). http://dx.doi.org/10.14569/IJACSA.2019.0100350

@article{Dridi2019,
title = {Towards Implementing Framework to Generate Myopathic Signals},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2019.0100350},
url = {http://dx.doi.org/10.14569/IJACSA.2019.0100350},
year = {2019},
publisher = {The Science and Information Organization},
volume = {10},
number = {3},
author = {Amira Dridi and Jassem Mtimet and Slim Yacoub}
}