Wrist rotation metrics as digital biomarkers for detecting physio-cognitive decline syndrome in older adults
Wrist rotation metrics show promise as scalable and non-invasive tools for detecting PCDS. These findings support their integration into digital platforms, such as smartphone applications, for early screening and intervention. Further studies are needed to validate these findings in larger, diverse populations and to assess their utility in monitoring disease progression and guiding interventions to improve physical and cognitive health.
Authors
- Chia‐huei Tseng (ORCID: https://orcid.org/0000-0002-6385-5669)
- May Chin
- Pei‐Ying Lin (ORCID: https://orcid.org/0000-0001-9041-3324)
- Liang‐Kung Chen (ORCID: https://orcid.org/0000-0002-2387-8508)
- Hsiao‐Wen Zan (ORCID: https://orcid.org/0000-0002-7685-1245)
- Chih-Chieh Chang (ORCID: https://orcid.org/0000-0003-0102-447X)
- Chen-Wei Chang (ORCID: https://orcid.org/0000-0003-1995-6558)
- Wei-Ju Lee
Institutions
- National Yang Ming Chiao Tung University (TW)
- Tohoku University (JP)
- Taipei Veterans General Hospital (TW)
Publication Details
- Journal
- Experimental Gerontology
- Published
- 2025-04-29
- DOI
- https://doi.org/10.1016/j.exger.2025.112766
- Primary Topic
- Stroke Rehabilitation and Recovery
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Taipei Veterans General Hospital