SleepFC: Feature Pyramid and Cross-Scale Context Learning fo…
Emerging
9
Citations46
Refs2024
Year
Search Works
Work Details
- DOI 10.1109/tnsre.2024.3406383
- PMID https://pubmed.ncbi.nlm.nih.gov/38805336
- OpenAlex ID W4399110651
- Type Article
- Language EN
- Published 01 Jan 2024
- Volume 32
- Pages 2198–2208
- Source IEEE Transactions on Neural Systems and …
- Publisher Institute of Electrical and Electro…
- FWCI 2.06
- Countries 1
- Institutions 1
- Added 10 Oct 2025
- Updated 16 Oct 2026
External Links
MENU
0
SleepFC: Feature Pyramid and Cross-Scale Context Learning for Sleep Staging
Article 2024 EN Gold
Automated sleep staging is essential to assess sleep quality and treat sleep disorders, so the issue of electroencephalography (EEG)-based sleep staging has gained extensive research interests. However, the following difficulties exist in this issue: 1) how to effectively learn the intrinsic features of salient waves from single-channel EEG signals; 2) how to learn and capture the useful informati…
9
Citations
46
References
4
Authors
2.06
FWCI
Citations by Year
Last 2 yearsTopics
Keywords
UN Sustainable Development Goals
1 SDGsAuthors & Affiliations
4 authors| # | Author | Institutions | ORCID |
|---|---|---|---|
| 1 | Wei Li | Southeast University (CN) | |
| 2 | Teng Liu | Southeast University (CN) | |
| 3 | Baoguo Xu | Southeast University (CN) | |
| 4 | Aiguo Song | Southeast University (CN) |
Related Works
10Data: OpenAlex