Data augmentation for deep-learning-based electroencephalography

•Data augmentation (DA) is increasingly used with deep learning (DL) on EEG.•It enhances decoding accuracy left unexplained by 29 % on average on the datasets we review.•We analyze which specific DA techniques appear to work best for which EEG tasks.•We tested various DA techniques on an open motor-...

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Veröffentlicht in:	Journal of neuroscience methods 2020-12, Vol.346, p.108885-108885, Article 108885
Hauptverfasser:	Lashgari, Elnaz, Liang, Dehua, Maoz, Uri
Format:	Artikel
Sprache:	eng
Schlagworte:	Data augmentation Deep learning Electroencephalography Review
Online-Zugang:	Volltext
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