Articles | Volume 12, issue 1
https://doi.org/10.5194/ms-12-69-2021
https://doi.org/10.5194/ms-12-69-2021
Research article
 | 
04 Feb 2021
Research article |  | 04 Feb 2021

Design and multichannel electromyography system-based neural network control of a low-cost myoelectric prosthesis hand

Saygin Siddiq Ahmed, Ahmed R. J. Almusawi, Bülent Yilmaz, and Nuran Dogru

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Subject: Dynamics and Control | Techniques and Approaches: Experiment and Best Practice
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Cited articles

Ahmed, S. S.: EMG SIGNAL 1, available at: https://youtu.be/zBjL8MGIWzk (last access: 6 July 2020), 2019a. 
Ahmed, S. S.: PROSTHETIC HAND, available at: https://youtu.be/BBv-TYpBaR4, last access: 30 December 2019b. 
Ahmed, S. S.: 3D PRINTER, available at: https://youtu.be/Xei3XgUa_-4, (last access: 17 December 2020), 2019c. 
Balbinot, A., Júnior, A. S., and Favieiro, G. W.: Decoding arm movements by myoelectric signal and artificial neural networks, Intelligent Control and Automation, 4, 87–93, https://doi.org/10.4236/ica.2013.41012, 2013. 
Bennett, D. A., Dalley, S. A., Truex, D., and Goldfarb, M.: A multigrasp hand prosthesis for providing precision and conformal grasps, IEEE-ASME T. Mech., 20, 1697–1704, https://doi.org/10.1109/TMECH.2014.2349855 2015. 
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Short summary
A program is designed for the myoelectric hand with two control pathways, one for the thumb...
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