Real-time sleep disorder monitoring design using dynamic temporal graphs with facial and acoustic feature fusion
This framework enables continuous non-invasive monitoring for point-of-care screening and home-based management, potentially expanding sleep medicine access for underserved populations.
Authors
- Hong Zhou (ORCID: https://orcid.org/0000-0003-1314-8883)
- Fei Pei
- Qiang-Qiang Fu (ORCID: https://orcid.org/0000-0002-2369-1508)
- Ying Zhou (ORCID: https://orcid.org/0000-0001-5973-8710)
Institutions
- Shanghai Zhabei District Shibei Hospital (CN)
- YangPu Geriatric Hospital (CN)
- Yangpu Hospital of Tongji University (CN)
Publication Details
- Journal
- Frontiers in Artificial Intelligence
- Published
- 2025-11-11
- DOI
- https://doi.org/10.3389/frai.2025.1681759
- Primary Topic
- Obstructive Sleep Apnea Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00