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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Bibliographic Details

Published in:	Interdisciplinary Medicine
Main Authors:	Xinwei Sun, Tuo Liu, Kun Wang, Lincong Pan, Lin Meng, Xinmin Ding, Weibo Yi, Minpeng Xu, Dong Ming
Format:	Article
Language:	English
Published:	Wiley-VCH 2025-07-01
Subjects:	brain‐computer interface (BCI) motor imagery (MI) Riemannian clustering subcluster
Online Access:	https://doi.org/10.1002/INMD.20250003