A Deep Neural Network Based on Two‐Stage Training for Estimating Heart Rate Variability From Camera Videos
Light balance, large sample training, and two-stage training can improve the accuracy of HRV estimation.
Authors
- Jiajun Qiu (ORCID: https://orcid.org/0000-0003-1790-8536)
- Hui Jiang (ORCID: https://orcid.org/0000-0002-1156-9046)
- Jin Yin (ORCID: https://orcid.org/0000-0002-8607-091X)
- X Zhao
- Lan Lan (ORCID: https://orcid.org/0000-0002-9398-1308)
- Yu Zhang
- Rui Qin
- Haohan Zhang
- Yilong Wang
Institutions
- Capital Medical University (CN)
- Peking University (CN)
- Sichuan University (CN)
- West China Medical Center of Sichuan University (CN)
- Beijing Tian Tan Hospital (CN)
- West China Hospital of Sichuan University (CN)
- Live & Learn Environmental Education (KH)
- Zhengzhou Business University (CN)
- Henan University of Economic and Law (CN)
Publication Details
- Journal
- Health care science
- Published
- 2026-01-15
- DOI
- https://doi.org/10.1002/hcs2.70047
- Primary Topic
- Non-Invasive Vital Sign Monitoring
- Type
- article
- Field-Weighted Citation Impact
- 0.00