Classification of left and right-hand motor imagery in acute stroke patients using EEG microstate

Classification of left and right-hand motor imagery in acute stroke patients using EEG microstate

Abstract Background Stroke is one of the leading causes of adult disability, often resulting in motor dysfunction and brain network reorganization. Brain-computer interface (BCI) systems offer a novel approach to post-stroke motor rehabilitation, with motor imagery (MI) serving as a key paradigm tha...

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Bibliographic Details
Main Authors: Shiyang Lv, Xiangying Ran, Mengsheng Xia, Yehong Zhang, Ting Pang, Xuezhi Zhou, Zongya Zhao, Yi Yu, Zhixian Gao
Format: Article
Language:English
Published: BMC 2025-06-01
Series:Journal of NeuroEngineering and Rehabilitation
Subjects:
EEG microstate
Acute stroke
Motor imagery
Brain-Computer interface
Brain network dynamics
Online Access:https://doi.org/10.1186/s12984-025-01668-y
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https://doi.org/10.1186/s12984-025-01668-y

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