Future Technologies Conference (FTC) 2020
5-6 November 2020
Publication Links
IJACSA
Special Issues
Article Details
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.
Compressed Sensing of Multi-Channel EEG Signals: Quantitative and Qualitative Evaluation with Speller Paradigm
Digital Object Identifier (DOI) : 10.14569/IJACSA.2016.070617
Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 7 Issue 6, 2016.
Abstract: In this paper the possibility of the electroencephalogram (EEG) compressed sensing based on specific dictionaries is presented. Several types of projection matrices (matrices with random i.i.d. elements sampled from the Gaussian or Bernoulli distributions, and matrices optimized for the particular dictionary used in reconstruction by means of appropriate algorithms) have been compared. The results are discussed from the reconstruction error point of view and from the classification rates of the spelling paradigm
Keywords: Compressed sensed; EEG; Brain computer interface; P300; Speller Paradigm
Monica Fira, “Compressed Sensing of Multi-Channel EEG Signals: Quantitative and Qualitative Evaluation with Speller Paradigm” International Journal of Advanced Computer Science and Applications(IJACSA), 7(6), 2016. http://dx.doi.org/10.14569/IJACSA.2016.070617
@article{Fira2016,
title = {Compressed Sensing of Multi-Channel EEG Signals: Quantitative and Qualitative Evaluation with Speller Paradigm},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2016.070617},
url = {http://dx.doi.org/10.14569/IJACSA.2016.070617},
year = {2016},
publisher = {The Science and Information Organization},
volume = {7},
number = {6},
author = {Monica Fira}
}
