Digital markers and phenotypes of rest-activity rhythms in people with advanced dementia using real-time location data
RTLS-derived rest-activity markers and phenotypes were associated with changes in clinical assessments over time and may support data-driven, evidence-based dementia care.
Authors
- Twinkle Arora (ORCID: https://orcid.org/0000-0002-8035-783X)
- Katherine S. McGilton (ORCID: https://orcid.org/0000-0003-2470-9738)
- Tamim Faruk
- Charlene H. Chu (ORCID: https://orcid.org/0000-0002-0333-7210)
- Yasser Karam
- Shehroz S. Khan
- Caitlin Mcarthur
- Leia C Shum
- Andrew Lim
- Alastair J Flint
- Andrea Iaboni
Institutions
- Dalhousie University (CA)
- Bloomberg (United States) (US)
- Sunnybrook Health Science Centre (CA)
- University Health Network (CA)
- University of Toronto (CA)
- Toronto Rehabilitation Institute (CA)
- American University of the Middle East (KW)
Publication Details
- Journal
- The Journals of Gerontology Series A
- Published
- 2026-01-13
- DOI
- https://doi.org/10.1093/gerona/glaf288
- Primary Topic
- Dementia and Cognitive Impairment Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00