A hierarchical graph learning framework for VR-based motor imagery decoding driven by MVMD and feature optimization.

Du K, Chang W, Kong W, Huang H, Yan G, Sadiq MT

DOI: 10.1088/1741-2552/aeabf5
Published: 2026 Sep 23
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/aeabf5,
  title = {A hierarchical graph learning framework for VR-based motor imagery decoding driven by MVMD and feature optimization.},
  author = {Du K and Chang W and Kong W and Huang H and Yan G and Sadiq MT},
  year = {2026},
  journal = {Journal of neural engineering},
  doi = {10.1088/1741-2552/aeabf5},
  url = {https://doi.org/10.1088/1741-2552/aeabf5}
}

RIS

TY  - JOUR
TI  - A hierarchical graph learning framework for VR-based motor imagery decoding driven by MVMD and feature optimization.
AU  - Du K
AU  - Chang W
AU  - Kong W
AU  - Huang H
AU  - Yan G
AU  - Sadiq MT
PY  - 2026
JO  - Journal of neural engineering
DO  - 10.1088/1741-2552/aeabf5
UR  - https://doi.org/10.1088/1741-2552/aeabf5
ER  -

APA

K, D., W, C., W, K., H, H., G, Y., & MT, S. (2026). A hierarchical graph learning framework for VR-based motor imagery decoding driven by MVMD and feature optimization.. Journal of neural engineering. https://doi.org/10.1088/1741-2552/aeabf5

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pubmed · retrieved 2026-09-25T21:40:41.505Z