Multi-class motor imagery EEG classification method with high accuracy and low individual differences based on hybrid neural network.

Liu J, Ye F, Xiong H

DOI: 10.1088/1741-2552/ac1ed0
Published: 2021 Aug 31
Container: Journal of neural engineering
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1088/1741-2552/ac1ed0,
  title = {Multi-class motor imagery EEG classification method with high accuracy and low individual differences based on hybrid neural network.},
  author = {Liu J and Ye F and Xiong H},
  year = {2021},
  journal = {Journal of neural engineering},
  doi = {10.1088/1741-2552/ac1ed0},
  url = {https://doi.org/10.1088/1741-2552/ac1ed0}
}

RIS

TY  - JOUR
TI  - Multi-class motor imagery EEG classification method with high accuracy and low individual differences based on hybrid neural network.
AU  - Liu J
AU  - Ye F
AU  - Xiong H
PY  - 2021
JO  - Journal of neural engineering
DO  - 10.1088/1741-2552/ac1ed0
UR  - https://doi.org/10.1088/1741-2552/ac1ed0
ER  -

APA

J, L., F, Y., & H, X. (2021). Multi-class motor imagery EEG classification method with high accuracy and low individual differences based on hybrid neural network.. Journal of neural engineering. https://doi.org/10.1088/1741-2552/ac1ed0

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pubmed · retrieved 2026-09-27T00:44:35.860Z