Advancing individual finger classification through a sandwich enhanced CBAM network with ultra-high-density EEG data
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Introduction: Ultra-High-Density Electroencephalography (uHD EEG) has gained increasing attention for its potential in individual finger decoding. However, accurately classifying these movements remains challenging due to the sub... ...
