Conceptio › Archive › eScholarship
eScholarship metadata only

DEGSleepNet: A Dual Evolving Graph Network for EEG-Based Single-Channel Automatic Sleep Staging

Wu, Xi et al.
eScholarship · Papers
Open Source ↗
human-computer-interactionneurosciencesleep
The development of brain–computer interfaces (BCI) has provided a solid data foundation for sleep staging. Transformer-based methods have achieved moderate sleep staging by capturing temporal dependencies within time-frequency representations. However, Transformers with substantial computational ove
Conceptio Open Archive

Analyze & explore related research in Conceptio

Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.

This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗

Related documents

Record · ID 1089865
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive