Decoding preparatory movement state-based motor imagery with multi layer energy decoder
Integration of preparatory movement states into the movement imagery process can generate distinguishable features at different stages and improve the classification performance of BCI systems. The proposed PMS-MI paradigm, combined with the MLED decoding method, provides a promising direction for developing more accurate and robust BCIs, particularly in the context of neurorehabilitation.
Authors
- Yuxin Zhang (ORCID: https://orcid.org/0000-0003-1450-2995)
- Alan X. Wang (ORCID: https://orcid.org/0000-0002-0553-498X)
- Miaomiao Guo (ORCID: https://orcid.org/0000-0003-3079-7957)
- Mengfan Li (ORCID: https://orcid.org/0000-0003-1501-9516)
- Guizhi Xu (ORCID: https://orcid.org/0000-0002-9637-0051)
Institutions
- Auckland Institute of Studies (NZ)
- University of Auckland (NZ)
- Hebei University of Technology (CN)
- Auckland University of Technology (NZ)
- Brain Research New Zealand (NZ)
Publication Details
- Journal
- Journal of NeuroEngineering and Rehabilitation
- Published
- 2025-12-17
- DOI
- https://doi.org/10.1186/s12984-025-01837-z
- Primary Topic
- EEG and Brain-Computer Interfaces
- Type
- article
- Field-Weighted Citation Impact
- 0.00