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20242026
most citedToward Foundational Model for Sleep Analysis Using a Multimodal Hybrid Self-Supervised Learning Framework

10 citations · 12 across the 5 of their papers we have counts for

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cs.HC2024★ 2 cited

NeuroNet: A Novel Hybrid Self-Supervised Learning Framework for Sleep Stage Classification Using Single-Channel EEG

Cheol-Hui Lee, Hakseung Kim, Hyun-jee Han +3

The classification of sleep stages is a pivotal aspect of diagnosing sleep disorders and evaluating sleep quality. However, the conventional manual scoring process, conducted by cl…