Shallow Convolution and Parallel Coarse‐To‐Fine Attention for Brain Signal Classification
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DOI: 10.1002/ima.70249
Abstract: Electroencephalography (EEG) signals, due to their non‐invasiveness, high temporal resolution, and low cost, have demonstrated broad application prospects in fields such as Brain‐Computer Interface (BCI), motor rehabilitation, and emotion recognition. However, the inherently low signal‐to‐noise… read more here.
Keywords: classification; coarse; brain; shallow convolution ... See more keywords