A novel temporal generative adversarial network for electrocardiography anomaly detection

Jing Qin, Fujie Gao, Zumin Wang, David C. Wong, Zhibin Zhao, Samuel D. Relton, Hui Fang

Abstract: Highlights•A novel ECG anomaly detection for the one-class classification analysis task.•We embed temporal information into GAN for better signal synthesis.•The model is more generalisable with the high-dimensional ECG data.