This paper is in the following e-collection/theme issue:

Computer-Aided Diagnosis (235) Mobile Health (mhealth) (3394) Wearable Devices and Sensors (1104) Fitness Trackers and Smart Pedometers/Accelerometers (650) Digital Biomarkers and Digital Phenotyping (268) Methods and Instruments in Medical Informatics (185)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/69328, first published .
Detection and Analysis of Circadian Biomarkers for Metabolic Syndrome Using Wearable Data: Cross-Sectional Study

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

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

Authors of this article:

Jeong-Kyun Kim1 Author Orcid Image ;   Sujeong Mun1 Author Orcid Image ;   Siwoo Lee1 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

Jeong-Kyun Kim   1 , PhD ;   Sujeong Mun   1 , PhD, KMD ;   Siwoo Lee   1 , PhD, KMD

1 KM Data Division, Korea Institute of Oriental Medicine, Daejeon, Republic of Korea

Corresponding Author:

  • Siwoo Lee, PhD, KMD
  • KM Data Division
  • Korea Institute of Oriental Medicine
  • 1672 Yuseong-daero, Yuseong-gu, Daejeon
  • Daejeon 34054
  • Republic of Korea
  • Phone: 82 10-4654-6164
  • Fax: 82 42-868-9555
  • Email: bfree@kiom.re.kr