Action Observation With Rhythm Imagery (AORI): A Novel Paradigm to Activate Motor-Related Pattern for High-Performance Motor Decoding
We proposed the AORI paradigm, revealed the activated motor-related pattern and proved its efficacy for high-performance motor decoding. These findings provide new possibilities for designing a natural and robust BCI for motor control and motor rehabilitation.
Authors
- Ximing Mai (ORCID: https://orcid.org/0000-0003-0740-000X)
- Ruijie Luo (ORCID: https://orcid.org/0000-0002-1372-9728)
- Yuxuan Wei (ORCID: https://orcid.org/0009-0002-9466-3077)
- Xiangyang Zhu (ORCID: https://orcid.org/0000-0003-4914-6636)
- Jianjun Meng (ORCID: https://orcid.org/0000-0003-0813-652X)
- Songwei Li (ORCID: https://orcid.org/0000-0001-9980-6773)
- Yuchen Xia (ORCID: https://orcid.org/0009-0009-6777-2404)
Institutions
- Shanghai Jiao Tong University (CN)
Publication Details
- Journal
- IEEE Transactions on Biomedical Engineering
- Published
- 2024-10-28
- DOI
- https://doi.org/10.1109/tbme.2024.3487133
- Citations
- 4
- Primary Topic
- EEG and Brain-Computer Interfaces
- Type
- article
- Field-Weighted Citation Impact
- 1.37
Funders
- National Natural Science Foundation of China