2 papers
cs.LG2025
TF-MCL: Time-frequency Fusion and Multi-domain Cross-Loss for Self-supervised Depression Detection
Li-Xuan Zhao, Chen-Yang Xu, Wen-Qiang Li +3
In recent years, there has been a notable increase in the use of supervised detection methods of major depressive disorder (MDD) based on electroencephalogram (EEG) signals. Howeve…
eess.SP2025
Cross-Subject Depression Level Classification Using EEG Signals with a Sample Confidence Method
ZhongYi Zhang, ChenYang Xu, LiXuan Zhao +2
Electroencephalogram (EEG) is a non-invasive tool for real-time neural monitoring,widely used in depression detection via deep learning. However, existing models primarily focus on…