3 papers
eess.SP2026
Memory-Efficient EDA Denoising via Knowledge Distillation for Wearable IoT Under Severe Motion Artifacts and Underwater Conditions
Yongbin Lee, Andrew Peitzsch, Youngsun Kong +4
Electrodermal activity (EDA) is widely used in wearable Internet of Medical Things (IoMT) systems for continuous health monitoring, including autonomic assessment. However, EDA sig…
eess.SP2026
ospEDA: Orthogonal Subspace Projection for Electrodermal Activity Decomposition
Yongbin Lee, Youngsun Kong, Ki H. Chon
Electrodermal activity (EDA) is a widely used physiological signal for assessing sympathetic nervous activity, such as arousal, stress, and pain. However, reliable decomposition in…
cs.LG2025
Atrial Fibrillation Prediction Using a Lightweight Temporal Convolutional and Selective State Space Architecture
Yongbin Lee, Ki H. Chon
Atrial fibrillation (AF) is the most common arrhythmia, increasing the risk of stroke, heart failure, and other cardiovascular complications. While AF detection algorithms perform…