Replication of Sensor-Based Categorization of Upper-Limb Performance in Daily Life in People Post Stroke and Generalizability to Other Populations
A five-variable, five-cluster model was replicable and generalizable. Convergent validity data suggest that UL activity performance in daily life may be better conceptualized on a continuum, rather than categorically. These findings highlight a unified, data-driven approach to tracking functional changes across UL conditions and severity of functional deficits.
Authors
- Caitlin Newman
- Christopher J. Dy (ORCID: https://orcid.org/0000-0003-1422-2483)
- Catherine E. Lang (ORCID: https://orcid.org/0000-0002-7120-0136)
- Allison Miller (ORCID: https://orcid.org/0000-0003-3043-6852)
- Lindsay L. Peterson (ORCID: https://orcid.org/0000-0002-5012-7347)
- Carey L. Holleran (ORCID: https://orcid.org/0000-0001-7740-6250)
- Marghuretta D. Bland (ORCID: https://orcid.org/0000-0001-9091-2764)
- Chelsea E. Macpherson (ORCID: https://orcid.org/0000-0002-9152-2917)
- Christine M. Gordon
- Keith R. Lohse (ORCID: https://orcid.org/0000-0002-7643-3887)
Institutions
- Shirley Ryan AbilityLab (US)
- Washington University in St. Louis (US)
Publication Details
- Journal
- Sensors
- Published
- 2025-07-25
- DOI
- https://doi.org/10.3390/s25154618
- Citations
- 4
- Primary Topic
- Stroke Rehabilitation and Recovery
- Type
- article
- Field-Weighted Citation Impact
- 4.10
Funders
- National Institutes of Health