Hamdi Altaheri

Postdoctoral Researcher

Deep learning techniques for classification of electroencephalogram (EEG) motor imagery (MI) signals: a review


Journal article


Hamdi Altaheri, G. Muhammad, M. Alsulaiman, S. Amin, G. Altuwaijri, Wadood Abdul, M. Bencherif, M. Faisal
Neural computing & applications (Print), 2021

Semantic Scholar DBLP DOI
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APA   Click to copy
Altaheri, H., Muhammad, G., Alsulaiman, M., Amin, S., Altuwaijri, G., Abdul, W., … Faisal, M. (2021). Deep learning techniques for classification of electroencephalogram (EEG) motor imagery (MI) signals: a review. Neural Computing &Amp; Applications (Print).


Chicago/Turabian   Click to copy
Altaheri, Hamdi, G. Muhammad, M. Alsulaiman, S. Amin, G. Altuwaijri, Wadood Abdul, M. Bencherif, and M. Faisal. “Deep Learning Techniques for Classification of Electroencephalogram (EEG) Motor Imagery (MI) Signals: a Review.” Neural computing & applications (Print) (2021).


MLA   Click to copy
Altaheri, Hamdi, et al. “Deep Learning Techniques for Classification of Electroencephalogram (EEG) Motor Imagery (MI) Signals: a Review.” Neural Computing &Amp; Applications (Print), 2021.


BibTeX   Click to copy

@article{hamdi2021a,
  title = {Deep learning techniques for classification of electroencephalogram (EEG) motor imagery (MI) signals: a review},
  year = {2021},
  journal = {Neural computing & applications (Print)},
  author = {Altaheri, Hamdi and Muhammad, G. and Alsulaiman, M. and Amin, S. and Altuwaijri, G. and Abdul, Wadood and Bencherif, M. and Faisal, M.}
}