Dongxin Liang

Multi-Scale Residual Graph Learning with Contextual Memory for Sleep Staging

Sleep is a vital physiological process, and its quality directly impacts human health. Although deep learning-based automated sleep staging methods have achieved significant progress, the studies still face limitations in fully mining spatio-temporal graph dependencies. Existing methods face challen