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Attention Guided Conditional Adversarial Learning for EMG Artifact Suppression in Single Channel EEG
Electromyographic activity can dominate scalp electroencephalography across a broad frequency range and obscure neural structure that is relevant to analysis and brain computer interfaces. This paper evaluates P2P Trans, a conditional adversarial denoiser that combines a U shaped encoder decoder, mu
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