Enhance decoding of lower limb motor imagery‐electroencephalography patterns by Riemannian clustering
Abstract Brain‐Computer Interface (BCI) based on motor imagery (MI) has attracted great interest as a new rehabilitation method for stroke. Riemannian geometry‐based classification algorithms are widely used in MI‐BCI due to their strong robustness and generalization capabilities. However, the clust...
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| Principais autores: | , , , , , , , , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
Wiley-VCH
2025-07-01
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| Serier: | Interdisciplinary Medicine |
| Fag: | |
| Online adgang: | https://doi.org/10.1002/INMD.20250003 |
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