EEG Signal Reconstruction Using a Generative Adversarial Network With Wasserstein Distance and Temporal-Spatial-Frequency Loss.

Front Neuroinform · 2020 · PMC7204859 · PMID 32425763

Europe PMC DOI

hedged sentence

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closest p · 0.2× alpha

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boldest claim

The sentences

extremely significantp <0.01actually significant

Specifically for the WGAN model in AO dataset and GAN/WGAN model in MI dataset, the classification performances presented were extremely significant ( * * p <0.01).

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