• Corpus ID: 245877406

Brain Signals Analysis Based Deep Learning Methods: Recent advances in the study of non-invasive brain signals

@article{Essa2022BrainSA,
  title={Brain Signals Analysis Based Deep Learning Methods: Recent advances in the study of non-invasive brain signals},
  author={Almabrok E. Essa and H. Kotte},
  journal={ArXiv},
  year={2022},
  volume={abs/2201.04229}
}
Correspondence: a.essa@csuohio.edu Department of Electrical Engineering and Computer Science, Cleveland State University, 2121 Euclid Ave, 44115 Cleveland, OH, USA Full list of author information is available at the end of the article Abstract Brain signals constitute the information that are processed by millions of brain neurons (nerve cells and brain cells). These brain signals can be recorded and analyzed using various of non-invasive techniques such as the Electroencephalograph (EEG… 

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