2 papers
cs.LG2025
PhysioME: A Robust Multimodal Self-Supervised Framework for Physiological Signals with Missing Modalities
Cheol-Hui Lee, Hwa-Yeon Lee, Min-Kyung Jung +1
Missing or corrupted modalities are common in physiological signal-based medical applications owing to hardware constraints or motion artifacts. However, most existing methods assu…
cs.HC2024
NeuroNet: A Novel Hybrid Self-Supervised Learning Framework for Sleep Stage Classification Using Single-Channel EEG
Cheol-Hui Lee, Hakseung Kim, Hyun-jee Han +3
The classification of sleep stages is a pivotal aspect of diagnosing sleep disorders and evaluating sleep quality. However, the conventional manual scoring process, conducted by cl…