A Closed-Loop Tactile Stimulation Training Protocol for Motor Imagery-Based BCI: Boosting BCI Performance for BCI-Deficiency Users

This study demonstrates the effectiveness of closed-loop tactile-assisted training in enhancing BCI accessibility and efficiency, paving the way for more inclusive neurofeedback-based BCI training strategies.

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Publication Details

Journal
IEEE Transactions on Biomedical Engineering
Published
2025-04-14
DOI
https://doi.org/10.1109/tbme.2025.3560713
Citations
1
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
1.43
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article

A Closed-Loop Tactile Stimulation Training Protocol for Motor Imagery-Based BCI: Boosting BCI Performance for BCI-Deficiency Users

Lin Yao, Yucun Zhong, Dario Farina, Yueming Wang
1 citations
IEEE Transactions on Biomedical Engineering
EEG and Brain-Computer Interfaces
1.43
article

A Closed-Loop Tactile Stimulation Training Protocol for Motor Imagery-Based BCI: Boosting BCI Performance for BCI-Deficiency Users

Lin Yao, Yucun Zhong, Dario Farina, Yueming Wang
article en
1 citations

Abstract

This study demonstrates the effectiveness of closed-loop tactile-assisted training in enhancing BCI accessibility and efficiency, paving the way for more inclusive neurofeedback-based BCI training strategies.

IEEE Transactions on Biomedical EngineeringVol. 72(10)
Zhejiang University of Science and Technology (CN), Hangzhou Seventh Peoples Hospital (CN), Imperial College London (GB), Zhejiang University (CN)
Openalex Percentile: Top 21%
EEG and Brain-Computer Interfaces
1.43
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