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Research Article | Open Access |

Compressed Sensing of Multi-Channel EEG Signals: Quantitative and Qualitative Evaluation with Speller Paradigm

Author 1: Monica Fira
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 7, No. 6 · Published 2016

DOI: 10.14569/IJACSA.2016.070617

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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

How to Cite this Article

Fira, M. (2016). Compressed Sensing of Multi-Channel EEG Signals: Quantitative and Qualitative Evaluation with Speller Paradigm. International Journal of Advanced Computer Science and Applications, 7(6). https://doi.org/10.14569/IJACSA.2016.070617

Fira, Monica. "Compressed Sensing of Multi-Channel EEG Signals: Quantitative and Qualitative Evaluation with Speller Paradigm." International Journal of Advanced Computer Science and Applications, vol. 7, no. 6, 2016, https://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},
  volume    = {7},
  number    = {6},
  year      = {2016},
  publisher = {The Science and Information Organization},
  author    = {Monica Fira},
  doi       = {10.14569/IJACSA.2016.070617},
  url       = {https://doi.org/10.14569/IJACSA.2016.070617}
}

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Volume 17 No. 11, November 2026
Paper Submission Due October 25, 2026
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