SleePyCo: Automatic sleep scoring with feature pyramid and contrastive learning

Seongju Lee, Yeonguk Yu, Seunghyeok Back, Hogeon Seo, Kyoobin Lee

Abstract: Highlights•SleePyCo uses a feature pyramid and supervised contrastive learning for sleep scoring.•We incorporate feature pyramid and propose SleePyCo-backbone for diverse EEG scales.•Our training framework is based on supervised contrastive learning for sleep scoring.•SleePyCo outperforms state-of-the-art frameworks on four public datasets.•Feature pyramid and supervised contrastive learning synergize in SleePyCo.