Cross-Granular Collaborative Recognition of Cortical Arousal and Sleep Stages From Photoplethysmography
CSleep offers a novel, practical solution for sleep monitoring by relying solely on PPG signals, making it more accessible and cost-effective for homecare applications. Its ability to jointly recognize cortical arousal and sleep stages suggests its potential for supporting the diagnosis of sleep disorders and providing valuable insights in homecare applications.
Authors
- Thomas Penzel (ORCID: https://orcid.org/0000-0002-4304-0112)
- Martin Glos (ORCID: https://orcid.org/0000-0002-7819-0444)
- Yuan Zhang (ORCID: https://orcid.org/0000-0003-2726-2855)
- Yamei Li (ORCID: https://orcid.org/0000-0002-6721-5853)
- Jing Li (ORCID: https://orcid.org/0000-0001-9107-1565)
- Xinyu Sun (ORCID: https://orcid.org/0009-0008-3965-3240)
Institutions
- Southwest University (CN)
- Peking University (CN)
- Stomatological Hospital of Chongqing Medical University (CN)
- Peking University Sixth Hospital (CN)
- Chongqing Medical University (CN)
Publication Details
- Journal
- IEEE Transactions on Biomedical Engineering
- Published
- 2024-12-26
- DOI
- https://doi.org/10.1109/tbme.2024.3523044
- Primary Topic
- Non-Invasive Vital Sign Monitoring
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- China Scholarship Council
- Fundamental Research Funds for the Central Universities