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.

Oana Diana Eva 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(IJACSA), 9(9), 2018. http://dx.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}
doi = {10.14569/IJACSA.2018.090904},
url = {http://dx.doi.org/10.14569/IJACSA.2018.090904},
year = {2018},
publisher = {The Science and Information Organization},
volume = {9},
number = {9},
author = {Oana Diana Eva and Anca Mihaela Lazar},
}