A Wearable Brain-Computer Interface With Fewer EEG Channels for Online Motor Imagery Detection

Motor imagery-based brain-computer interfaces (MI-BCIs) have significant potential for neurorehabilitation and motor recovery. However, most BCI systems employ multi-channel electroencephalogram (EEG) recording devices, during which the pre-experimental preparation and post-experimental hair cleanin...

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Bibliographic Details
Main Authors: Zuguang Rao, Junbiao Zhu, Zilin Lu, Rui Zhang, Kendi Li, Zijing Guan, Yuanqing Li
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Transactions on Neural Systems and Rehabilitation Engineering
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Online Access:https://ieeexplore.ieee.org/document/10756748/
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