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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 |

An Amplitude Modulation of Cerebral Rhythms based Method in a Motor Task BCI Paradigm

Author 1: Oana Diana Eva Author 2: Anca Mihaela Lazar
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 9, No. 9 · Published 2018

DOI: https://doi.org/10.14569/IJACSA.2018.090904

Abstract

Quantitative evaluation based on amplitude modulation analysis of electroencephalographic signals is proposed for a brain computer interface paradigm. The method allows characterization of the interaction effects of different frequency bands in the electroencephalographic rhythms during motor tasks. A new index was proposed and computed to be a measure of the amplitude modulation. Built on this index, features vector are established for training different classification algorithms. Signals recorded from 50 subjects revealed important differences in amplitude modulations between motor tasks. Most notably, Theta modulation of the Theta and Alpha rhythms proved to be reliable discriminant features between different mental tasks.

Keywords

How to Cite this Article

Eva, O. D., & Lazar, A. M. (2018). An Amplitude Modulation of Cerebral Rhythms based Method in a Motor Task BCI Paradigm. International Journal of Advanced Computer Science and Applications, 9(9). https://doi.org/10.14569/IJACSA.2018.090904

Eva, Oana Diana, and Anca Mihaela Lazar. "An Amplitude Modulation of Cerebral Rhythms based Method in a Motor Task BCI Paradigm." International Journal of Advanced Computer Science and Applications, vol. 9, no. 9, 2018, https://doi.org/10.14569/IJACSA.2018.090904.

@article{Eva2018,
  title     = {An Amplitude Modulation of Cerebral Rhythms based Method in a Motor Task BCI Paradigm},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {9},
  number    = {9},
  year      = {2018},
  publisher = {The Science and Information Organization},
  author    = {Oana Diana Eva and Anca Mihaela Lazar},
  doi       = {10.14569/IJACSA.2018.090904},
  url       = {https://doi.org/10.14569/IJACSA.2018.090904}
}

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