A Study of Unilateral Upper Limb Fine Motor Imagery Decoding Using Frequency-Band Attention Network
Tianyu Shi,
Xiang Gu,
Hui Bi
et al.
Abstract: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 training for patients. Therefore, this paper designed a new paradigm for three motor imagery actions targeting different joints of the unilateral upper limb, and electroencephalogram (EEG) data from 20 healthy particip… Show more
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