Predicting physical functioning status in older adults: insights from wrist accelerometer sensors and derived digital biomarkers of physical activity
This study investigates the potential of wrist accelerometer digital biomarkers in predicting PFI and its subtypes in older adults. Integrated PFI monitoring systems with digital biomarkers would improve the current state of remote PFI surveillance.
Authors
- Junhan Zhao (ORCID: https://orcid.org/0000-0002-0316-8365)
- Xiyue Wang (ORCID: https://orcid.org/0000-0002-3597-9090)
- Junjie Zhang (ORCID: https://orcid.org/0000-0003-3812-3850)
- Tao Lin (ORCID: https://orcid.org/0000-0002-0767-0838)
- Fengyi Wang (ORCID: https://orcid.org/0000-0002-8328-527X)
- Lingjie Fan (ORCID: https://orcid.org/0000-0002-2297-4434)
- Mengyi Wu
- Yao Hu (ORCID: https://orcid.org/0000-0002-9088-6516)
Institutions
- Chongqing University of Posts and Telecommunications (CN)
- Harvard University (US)
- Sichuan University (CN)
- Sichuan Agricultural University (CN)
- Massachusetts General Hospital (US)
- West China Hospital of Sichuan University (CN)
- Cancer Research And Biostatistics (US)
- Stanford Medicine (US)
- Stanford University (US)
Publication Details
- Journal
- Journal of the American Medical Informatics Association
- Published
- 2024-08-23
- DOI
- https://doi.org/10.1093/jamia/ocae224
- Citations
- 12
- Primary Topic
- Physical Activity and Health
- Type
- article
- Field-Weighted Citation Impact
- 3.92
Funders
- National Key Research and Development Program of China