Article
High-Resolution Digital Phenotypes From Consumer Wearables and Their Applications in Machine Learning of Cardiometabolic Risk Markers: Cohort Study.
Journal of medical Internet research - 29 Jul 2022
Zhou Weizhuang, Chan Yu En, Foo Chuan Sheng, Zhang Jingxian, Teo Jing Xian, Davila Sonia, Huang Weiting, Yap Jonathan, Cook Stuart, Tan Patrick, Chin Calvin Woon-Loong, Yeo Khung Keong, Lim Weng Khong, Krishnaswamy Pavitra
Abstract excerpt
BACKGROUND: Consumer-grade wearable devices enable detailed recordings of heart rate and step counts in free-living conditions. Recent studies have shown that summary statistics from these wearable recordings have potential uses for longitudinal monitoring of health and disease states. However, the relationship between higher resolution physiological dynamics from wearables and known markers of health and disease...
Topics
- Cardiovascular Diseases
- Clinical Studies as Topic
- Cohort Studies
- Humans
- Lipids
- Machine Learning
- Phenotype
- Wearable Electronic Devices