Lightweight Convolutional Neural Network for Real-Time Arrhythmia Classification on Low-Power Wearable Electrocardiograph. - Sangkyu Kim; Sangil Chon; Jin-Kook Kim; Joomin Kim; Yeongjoon Gil; Sunghoon Jung (EMBC, 2022)

Fully Complex Deep Learning Classifiers for Signal Modulation Recognition in Non-Cooperative Environment. - Sangkyu Kim; Hae-Yong Yang; Daeyoung Kim 001 (IEEE Access, 2022)

Compressed Deep Learning to Classify Arrhythmia in an Embedded Wearable Device. - Kwang-Sig Lee; Hyun-Joon Park; Ji Eon Kim; Hee Jung Kim; Sangil Chon; Sangkyu Kim; Jaesung Jang; Jin-Kook Kim; Seongbin Jang; Yeongjoon Gil; Ho Sung Son (Sensors, 2022)

SE-ResNet-ViT Hybrid Model for Noise Classification in Adhesive Patch-type Wearable Electrocardiographs. - Sangkyu Kim; Jiwoo Lim; Moonjong Shin; Sunghoon Jung (EMBC, 2023)

Scattering of a Coaxial Cable with a Grooved Flange Using the Associated Weber-Orr Transform. - Sangkyu Kim (IEICE Trans. Commun., 2023)

An Analysis of Thread Scheduling in Mobile Device using Thread Interaction Graph. - Sangkyu Kim; Jonglae Park; Bumgyu Park; Sangil Park; Dongjin Park; Chulmin Jo (ICCE, 2024)

Patient-Adaptive Beat-Wise Temporal Transformer for Atrial Fibrillation Classification in Continuous Long-Term Cardiac Monitoring. - Sangkyu Kim; Jiwoo Lim; Jaeseong Jang (IEEE Access, 2024)

SeqAFNet: A Beat-Wise Sequential Neural Network for Atrial Fibrillation Classification in Adhesive Patch-Type Electrocardiographs. - Sangkyu Kim; Jiwoo Lim; Jaeseong Jang (IEEE J. Biomed. Health Informatics, 2024)