activity
20192025
most citedIntra- and Inter-epoch Temporal Context Network (IITNet) Using Sub-epoch Features for Automatic Sleep Scoring on Raw Single-channel EEG

243 citations · 330 across the 21 of their papers we have counts for

collaborators
Showing 2019Show all

1 paper · 1 filter

cs.LG2019★ 243 cited

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…