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The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.

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Research Article | Open Access |

Electromyography Signal Acquisition and Analysis System for Finger Movement Classification

Author 1: Alvarado-Díaz Witman Author 2: Meneses-Claudio Brian Author 3: Roman-Gonzalez Avid
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 10, No. 6 · Published 2019 · Cited by 6

DOI: https://doi.org/10.14569/IJACSA.2019.0100653

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Abstract

Electromyography (EMG) is very important to capture muscle activity. Although many jobs establish data acquisition system, however, it is also essential to demonstrate that these data are reliable. In this sense, one proposes a design and implementation of a data acquisition system with the Myoware device and the ATmega329P microcontroller. One also proved its reliability by classifying the movement of the fingers of the hand, with the help of the algorithm k-Nearest Neighbors (KNN) and the application of Classification Learner code of Matlab. The results show a success rate of 99.1%.

Keywords

EMG muscles disability classification learner Myoware

How to Cite this Article

Witman, A., Brian, M., & Avid, R. (2019). Electromyography Signal Acquisition and Analysis System for Finger Movement Classification. International Journal of Advanced Computer Science and Applications, 10(6). https://doi.org/10.14569/IJACSA.2019.0100653

Witman, Alvarado-Díaz, et al.. "Electromyography Signal Acquisition and Analysis System for Finger Movement Classification." International Journal of Advanced Computer Science and Applications, vol. 10, no. 6, 2019, https://doi.org/10.14569/IJACSA.2019.0100653.

@article{Witman2019,
  title     = {Electromyography Signal Acquisition and Analysis System for Finger Movement Classification},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {10},
  number    = {6},
  year      = {2019},
  publisher = {The Science and Information Organization},
  author    = {Alvarado-Díaz Witman and Meneses-Claudio Brian and Roman-Gonzalez Avid},
  doi       = {10.14569/IJACSA.2019.0100653},
  url       = {https://doi.org/10.14569/IJACSA.2019.0100653}
}

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