A Study of Unilateral Upper Limb Fine Motor Imagery Decoding Using Frequency-Band Attention Network

A Study of Unilateral Upper Limb Fine Motor Imagery Decoding Using Frequency-Band Attention Network

Brain-computer interface (BCI) based motor imagery (MI) can assist stroke patients in upper limb rehabilitation and help restore motor function to a certain extent. However, the classical MI paradigm distinguishes different limbs and cannot effectively meet the needs of upper limb rehabilitation tra...

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Bibliographic Details
Main Authors: Tianyu Shi, Xiang Gu, Hui Bi, Jidong Lv, Yan Liu, Yakang Dai, Ling Zou
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Brain–computer interface
upper limb rehabilitation
EEG
fine motor imagery
deep learning
Online Access:https://ieeexplore.ieee.org/document/10453523/

Internet

https://ieeexplore.ieee.org/document/10453523/

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