most citedEEGDnet: Fusing Non-Local and Local Self-Similarity for 1-D EEG Signal Denoising with 2-D Transformer

84 citations · 84 across the 1 of their papers we have counts for

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1 paper

eess.SP2021★ 84 cited

EEGDnet: Fusing Non-Local and Local Self-Similarity for 1-D EEG Signal Denoising with 2-D Transformer

Peng Yi, Kecheng Chen, Zhaoqi Ma +3

Electroencephalogram (EEG) has shown a useful approach to produce a brain-computer interface (BCI). One-dimensional (1-D) EEG signal is yet easily disturbed by certain artifacts (a…