Lower limb motor imagery EEG dataset based on the multi-paradigm and longitudinal-training of stroke patients

Lower limb motor imagery EEG dataset based on the multi-paradigm and longitudinal-training of stroke patients

Abstract Motor dysfunction is one of the most significant sequelae of stroke, with lower limb impairment being a major concern for stroke patients. Motor imagery (MI) technology based on brain-computer interface (BCI) offers promising rehabilitation potential for stroke patients by activating motor-...

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Bibliographic Details
Main Authors: Yuan Liu, Zhuolan Gui, De Yan, Zhuang Wang, Ruisi Gao, Ningxin Han, Junying Chen, Jialing Wu, Dong Ming
Format: Article
Language:English
Published: Nature Portfolio 2025-02-01
Series:Scientific Data
Online Access:https://doi.org/10.1038/s41597-025-04618-4
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