Multimodal sleep staging network based on obstructive sleep apnea
The MSDC-SSRNet multi-channel sleep staging architecture proposed in this study enhances widespread system applicability by supplementing inter-channel features. It employs multi-scale attention to extract transition rules between sleep stages and effectively integrates multimodal information. Our method address the limitations of single-channel approaches, enhancing interpretability for clinical applications.
Authors
- Xiaoling Peng (ORCID: https://orcid.org/0000-0003-3265-1361)
- Bin Tang (ORCID: https://orcid.org/0000-0002-3851-2330)
- Mingfu Zhao
- L. E. Wang
- Jingxin Fan
- Zhiquan He (ORCID: https://orcid.org/0000-0003-2255-4293)
- Li Huang (ORCID: https://orcid.org/0009-0007-2957-9457)
Institutions
- Chongqing University of Technology (CN)
Publication Details
- Journal
- Frontiers in Computational Neuroscience
- Published
- 2024-12-18
- DOI
- https://doi.org/10.3389/fncom.2024.1505746
- Citations
- 5
- Primary Topic
- Obstructive Sleep Apnea Research
- Type
- article
- Field-Weighted Citation Impact
- 1.63
Funders
- Chongqing Municipal Education Commission
- Graduate Research and Innovation Projects of Jiangsu Province
- National Key Research and Development Program of China