Towards High Generalization Performance on Electrocardiogram Classification. - Hyeongrok Han; Seongjae Park; Seonwoo Min; Hyun-Soo Choi; Eunji Kim 002; Hyunki Kim; Sangha Park; Jinkook Kim; Junsang Park; Junho An; Kwanglo Lee; Wonsun Jeong; et al. (CinC, 2021)

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)

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)

An ECG Beat Classification Method using Multi-kernel ResNet with Transformer. - Sangil Chon; Kwon-Woo Ha; Seongjae Park; Sunghoon Jung (BigComp, 2023)

A SimSiam-based Generalized Model Training Technique for Classification of ECG from Heterogeneous Devices. - Kwon-Woo Ha; Seongjae Park; Sangil Chon; Jin-Kook Kim; Sunghoon Jung (BigComp, 2023)