Human sleep position classification using a lightweight model and acceleration data
This study provides a foundation for a portable system enabling continuous, non-invasive sleep posture monitoring at home. By addressing the needs of GERD patients, the device holds promise for improving sleep quality and supporting positional therapy. Future research will focus on larger cohorts, extended monitoring durations, and user-friendly interfaces for broader adoption.
Authors
- Duc-Nghia Tran (ORCID: https://orcid.org/0000-0003-2457-2145)
- Duc–Tan Tran (ORCID: https://orcid.org/0000-0002-7673-388X)
- To-Hieu Dao (ORCID: https://orcid.org/0000-0003-4167-5621)
- Khanh-Ly Can
- Dinh-Dat Pham
- Hoang-Dieu Vu
- Huy‐Hieu Pham
Institutions
- Phenikaa University (VN)
- VinUniversity (VN)
- Vietnam Academy of Science and Technology (VN)
Publication Details
- Journal
- Sleep And Breathing
- Published
- 2025-02-10
- DOI
- https://doi.org/10.1007/s11325-025-03247-w
- Citations
- 4
- Primary Topic
- Non-Invasive Vital Sign Monitoring
- Type
- article
- Field-Weighted Citation Impact
- 2.70
Funders
- Quỹ Đổi mới sáng tạo Vingroup