Automatic Cardiac Arrhythmia Classification Using Residual Network Combined With Long Short-Term Memory. - Yun Kwan Kim; Minji Lee; Hee Seok Song; Seong-Whan Lee (IEEE Trans. Instrum. Meas., 2022)

Detection of Morphological Characteristics of Atrial Fibrillation Using Semantic Segmentation. - Kunwook Jo; HooHyun Kim; Jongdoo Choi; Yun Kwan Kim; LanMi Hwang; So-Ryong Lee; Eue-Keun Choi; Hee Seok Song (ICAIIC, 2023)

Ensemble Learning Method for In-Hospital Cardiac Arrest Prediction. - JaHyung Koo; Sun Jung Lee; Yun Kwan Kim; Hee Seok Song (MedInfo, 2023)

Local-Global Temporal Fusion Network with an Attention Mechanism for Multiple and Multiclass Arrhythmia Classification. - Yun Kwan Kim; Minji Lee; Kunwook Jo; Hee Seok Song; Seong-Whan Lee (CoRR, 2023)

Automatic Sleep Stage Classification Based on Deep Learning for Multi-channel Signals. - Yerim Huh; Ray Kim; Ja Hyung Koo; Yun Kwan Kim; Kwang-No Lee; Minji Lee (BCI, 2024)

Classification of High-risk Sleep Apnea with Arrhythmia Using Heterogeneous Ensemble Learning from Wearable Accelerometer. - Yun Kwan Kim; Ja Hyung Koo; Ray Kim; Gyung Chul Kim; Hee Seok Song; Minji Lee; Kwang-No Lee (BIBM, 2024)

Compact Myocardial Infarction Classification for 3-Lead ECG-Based Temporal Convolution with Encoder-Decoder Network. - Ray Kim; Insung Choi; Gyung Chul Kim; Hee Seok Song; Minji Lee; Yun Kwan Kim (BCI, 2025)

A brain-inspired model for multi-step forecasting of malignant arrhythmias. - Yun Kwan Kim; Insung Choi; Sun Jung Lee; Hye-Bin Shin; Gyung Chul Kim; Hee Seok Song; Minji Lee; Seong-Whan Lee (Expert Syst. Appl., 2025)