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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| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley-VCH
2025-07-01
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| Series: | Interdisciplinary Medicine |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/INMD.20250003 |
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