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Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.
Towards Implementing Framework to Generate Myopathic Signals
Digital Object Identifier (DOI) : 10.14569/IJACSA.2019.0100350
Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 10 Issue 3, 2019.
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.
Keywords: Component; Surface Electromyography (sEMG); myopathy; root mean square; Power Spectral Density (PSD; skeletal muscles; biceps brachii; interosseous dorsalis; tibialis anterior
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}
}
