Detection and Analysis of Circadian Biomarkers for Metabolic Syndrome Using Wearable Data: Cross-Sectional Study
This study identified CCE and relative amplitude of heart rate as key circadian rhythm biomarkers for MetS monitoring, demonstrating their high importance across multiple XAI models. In contrast, traditional sleep markers showed limited significance, suggesting that circadian rhythm analysis may offer additional insights into MetS beyond sleep-related indicators. These findings highlight the potential of wearable-based circadian biomarkers for improving MetS assessment and management.
Authors
- Jeong-Kyun Kim (ORCID: https://orcid.org/0000-0003-1822-1752)
- Sujeong Mun (ORCID: https://orcid.org/0000-0002-3573-8916)
- Siwoo Lee (ORCID: https://orcid.org/0000-0003-2658-8175)
Institutions
- Korea Institute of Oriental Medicine (KR)
Publication Details
- Journal
- JMIR Medical Informatics
- Published
- 2025-05-15
- DOI
- https://doi.org/10.2196/69328
- Citations
- 5
- Primary Topic
- Heart Rate Variability and Autonomic Control
- Type
- article
- Field-Weighted Citation Impact
- 6.94