10 citations · 12 across the 5 of their papers we have counts for
3 papers · 1 filter
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…
Diffusion-Based Electrocardiography Noise Quantification via Anomaly Detection
Tae-Seong Han, Jae-Wook Heo, Hakseung Kim +5
Electrocardiography (ECG) signals are frequently degraded by noise, limiting their clinical reliability in both conventional and wearable settings. Existing methods for addressing…
Toward Foundational Model for Sleep Analysis Using a Multimodal Hybrid Self-Supervised Learning Framework
Cheol-Hui Lee, Hakseung Kim, Byung C. Yoon +1
Sleep is essential for maintaining human health and quality of life. Analyzing physiological signals during sleep is critical in assessing sleep quality and diagnosing sleep disord…