Detection and Analysis of Circadian Biomarkers for Metabolic Syndrome Using Wearable Data: Cross-Sectional Study.

Journal: JMIR medical informatics
Published Date:

Abstract

BACKGROUND: Wearable devices are increasingly used for monitoring health and detecting digital biomarkers related to chronic diseases such as metabolic syndrome (MetS). Although circadian rhythm disturbances are known to contribute to MetS, few studies have explored wearable-derived circadian biomarkers for MetS identification.

Authors

  • Jeong-Kyun Kim
    KM Data Division, Korea Institute of Oriental Medicine, 1672 Yuseong-daero, Yuseong-gu, Daejeon, Daejeon, 34054, Republic of Korea, 82 10-4654-6164, 82 42-868-9555.
  • Sujeong Mun
    KM Data Division, Korea Institute of Oriental Medicine, 1672 Yuseong-daero, Yuseong-gu, Daejeon, Daejeon, 34054, Republic of Korea, 82 10-4654-6164, 82 42-868-9555.
  • Siwoo Lee
    Korean Medicine Data Division, Korean Institute of Oriental Medicine, 1672 Yuseong-daero, Daejeon 34054, Korea.