1 code implementation • 18 Feb 2019 • Hogeon Seo, Seunghyeok Back, Seongju Lee, Deokhwan Park, Tae Kim, Kyoobin Lee
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.
Ranked #1 on Sleep Stage Detection on MASS SS2