Improving non-invasive glucose estimation with monthly calibrated photoplethysmography and implicit HbA1c
A single monthly pretest enables accurate and clinically safe noninvasive glucose measurement across diverse patient groups. The approach operates without retraining or fine-tuning and can adapt to new users and devices through edge computing, supporting integration into current wearables for everyday diabetes management and public-health prevention.
Authors
- Justin Chu
- Yang Fu-Liang
- T.-C. Hsieh (ORCID: https://orcid.org/0000-0002-1574-0808)
- S. -K. Liaw
- Yao-Ting Chang
Institutions
- National Taiwan University of Science and Technology (TW)
- Taipei Tzu Chi Hospital (TW)
- Research Center for Applied Science, Academia Sinica (TW)
Publication Details
- Journal
- Communications Medicine
- Published
- 2025-12-24
- DOI
- https://doi.org/10.1038/s43856-025-01210-0
- Primary Topic
- Non-Invasive Vital Sign Monitoring
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Academia Sinica
- Buddhist Tzu Chi Medical Foundation
- Taipei Tzu Chi Hospital
- National Science and Technology Council