Conference
FTC 2016 - Proceedings of Future Technologies Conference, 2017, pp. 868 – 875
APA
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Calderon-Cordova, C., Ramirez, C., Barros, V., Quezada-Sarmiento, P. A., & Barba-Guaman, L. (2017). EMG signal patterns recognition based on feedforward Artificial Neural Network applied to robotic prosthesis myoelectric control. In FTC 2016 - Proceedings of Future Technologies Conference (pp. 868–875). https://doi.org/10.1109/FTC.2016.7821705
Chicago/Turabian
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Calderon-Cordova, Carlos, Cristian Ramirez, Veronica Barros, Pablo Alejandro Quezada-Sarmiento, and Luis Barba-Guaman. “EMG Signal Patterns Recognition Based on Feedforward Artificial Neural Network Applied to Robotic Prosthesis Myoelectric Control.” In FTC 2016 - Proceedings of Future Technologies Conference, 868–875, 2017.
MLA
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Calderon-Cordova, Carlos, et al. “EMG Signal Patterns Recognition Based on Feedforward Artificial Neural Network Applied to Robotic Prosthesis Myoelectric Control.” FTC 2016 - Proceedings of Future Technologies Conference, 2017, pp. 868–75, doi:10.1109/FTC.2016.7821705.
BibTeX Click to copy
@conference{calderon-cordova2017a,
title = {EMG signal patterns recognition based on feedforward Artificial Neural Network applied to robotic prosthesis myoelectric control},
year = {2017},
journal = {FTC 2016 - Proceedings of Future Technologies Conference},
pages = {868 – 875},
doi = {10.1109/FTC.2016.7821705},
author = {Calderon-Cordova, Carlos and Ramirez, Cristian and Barros, Veronica and Quezada-Sarmiento, Pablo Alejandro and Barba-Guaman, Luis}
}