1 citations · 1 across the 1 of their papers we have counts for
3 papers
cs.LG2026★ 1 cited
Atoms of Thought: Universal EEG Representation Learning with Microstates
Xinyang Tian, Ruitao Liu, Ziyi Ye +3
Learning universal representations from electroencephalogram (EEG) signals is a cutting-edge approach in the field of neuroinformatics and brain-computer interfaces (BCIs). Convent…
cs.LG2026
sleep2vec: Unified Cross-Modal Alignment for Heterogeneous Nocturnal Biosignals
Weixuan Yuan, Zengrui Jin, Yichen Wang +4
Tasks ranging from sleep staging to clinical diagnosis traditionally rely on standard polysomnography (PSG) devices, bedside monitors and wearable devices, which capture diverse no…
eess.SP2024
SleepNetZero: Zero-Burden Zero-Shot Reliable Sleep Staging With Neural Networks Based on Ballistocardiograms
Shuzhen Li, Yuxin Chen, Xuesong Chen +9
Sleep monitoring plays a crucial role in maintaining good health, with sleep staging serving as an essential metric in the monitoring process. Traditional methods, utilizing medica…