Sinc-EEGNet for Improving Performance While Reducing Calibration of a Motor Imagery-Based BCI

Pasquale Arpaia, Elisa Bertone, Antonio Esposito 0002, Angela Natalizio, Marco Parvis, Alessandra Laura Giulia Pedrocchi, Andrea Pollastro. Sinc-EEGNet for Improving Performance While Reducing Calibration of a Motor Imagery-Based BCI. In IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering, MetroXRAINE 2023, Milano, Italy, October 25-27, 2023. pages 1063-1068, IEEE, 2023. [doi]

@inproceedings{ArpaiaBENPPP23,
  title = {Sinc-EEGNet for Improving Performance While Reducing Calibration of a Motor Imagery-Based BCI},
  author = {Pasquale Arpaia and Elisa Bertone and Antonio Esposito 0002 and Angela Natalizio and Marco Parvis and Alessandra Laura Giulia Pedrocchi and Andrea Pollastro},
  year = {2023},
  doi = {10.1109/MetroXRAINE58569.2023.10405701},
  url = {https://doi.org/10.1109/MetroXRAINE58569.2023.10405701},
  researchr = {https://researchr.org/publication/ArpaiaBENPPP23},
  cites = {0},
  citedby = {0},
  pages = {1063-1068},
  booktitle = {IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering, MetroXRAINE 2023, Milano, Italy, October 25-27, 2023},
  publisher = {IEEE},
  isbn = {979-8-3503-0080-2},
}