most citedMLBF-Net: A Multi-Lead-Branch Fusion Network for Multi-Class Arrhythmia Classification Using 12-Lead ECG

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eess.SP2023

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.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…