Toward Unsupervised Capacity Assessments for Gait in Neurorehabilitation: Validation Study
Unsupervised gait capacity assessments offer a reliable alternative to supervised assessments in a clinical environment, showing comparable results for gait speed, stride length, and cadence, with no differences in overall motivation between the two. Future work should build upon these findings to extend unsupervised assessment of both capacity and performance in home environments. Such assessments could allow improved and more specific tracking of rehabilitation progress across the continuum of care.
Authors
- Chris Awai Easthope (ORCID: https://orcid.org/0000-0002-3602-7841)
- Aileen C. Naef (ORCID: https://orcid.org/0000-0002-1797-9441)
- Meret Branscheidt (ORCID: https://orcid.org/0000-0002-4008-6916)
- Saskia Neumann
- Guichande Duarte
- Migjen Shala
Institutions
- University of Lucerne (CH)
- ETH Zurich (CH)
- University Hospital of Zurich (CH)
- Cereneo (CH)
Publication Details
- Journal
- Journal of Medical Internet Research
- Published
- 2025-02-28
- DOI
- https://doi.org/10.2196/66123
- Primary Topic
- Stroke Rehabilitation and Recovery
- Type
- article
- Field-Weighted Citation Impact
- 0.00