95 citations · 125 across the 2 of their papers we have counts for
2 papers
eess.SP2023★ 30 cited
Data Augmentation for Seizure Prediction with Generative Diffusion Model
Kai Shu, Le Wu, Yuchang Zhao +3
Data augmentation (DA) can significantly strengthen the electroencephalogram (EEG)-based seizure prediction methods. However, existing DA approaches are just the linear transformat…
eess.SP2021★ 95 cited
Toward Open-World Electroencephalogram Decoding Via Deep Learning: A Comprehensive Survey
Xun Chen, Chang Li, Aiping Liu +3
Electroencephalogram (EEG) decoding aims to identify the perceptual, semantic, and cognitive content of neural processing based on non-invasively measured brain activity. Tradition…