70 citations · 70 across the 1 of their papers we have counts for
2 papers
cs.LG2022★ 70 cited
SleePyCo: Automatic Sleep Scoring with Feature Pyramid and Contrastive Learning
Seongju Lee, Yeonguk Yu, Seunghyeok Back +2
Automatic sleep scoring is essential for the diagnosis and treatment of sleep disorders and enables longitudinal sleep tracking in home environments. Conventionally, learning-based…
cs.LG2019
Intra- and Inter-epoch Temporal Context Network (IITNet) Using Sub-epoch Features for Automatic Sleep Scoring on Raw Single-channel EEG
Hogeon Seo, Seunghyeok Back, Seongju Lee +3
A deep learning model, named IITNet, is proposed to learn intra- and inter-epoch temporal contexts from raw single-channel EEG for automatic sleep scoring. To classify the sleep st…