95 citations · 126 across the 3 of their papers we have counts for
3 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…
eess.SP2020★ 1 cited
MLBF-Net: A Multi-Lead-Branch Fusion Network for Multi-Class Arrhythmia Classification Using 12-Lead ECG
Jing Zhang, Deng Liang, Aiping Liu +4
Automatic arrhythmia detection using 12-lead electrocardiogram (ECG) signal plays a critical role in early prevention and diagnosis of cardiovascular diseases. In the previous stud…