Validation of a data logger for measuring standing time and seat angles for community-based standing devices
The data logger appears to be an appropriate tool for determining standing time and seat angle in standing devices, which may aid clinicians and researchers to better understand the use and impact of standing technologies on health outcomes.
Authors
- Gary D Goldish
- Christine M. Olney (ORCID: https://orcid.org/0000-0003-3940-6107)
- Matthew Sauerbrey
- B. Jenny Kiratli (ORCID: https://orcid.org/0000-0003-3737-3487)
- Amber Wacek (ORCID: https://orcid.org/0000-0002-7377-7449)
- John M. Looft (ORCID: https://orcid.org/0000-0001-5616-4133)
- Andrew J. Hansen (ORCID: https://orcid.org/0000-0002-9545-3250)
- Timothy Truty
- Jeffrey Jaramillo
- M R Mattson
Institutions
- University of Minnesota (US)
- VA Palo Alto Health Care System (US)
- University of Minnesota System (US)
- Minneapolis VA Health Care System (US)
Publication Details
- Journal
- Journal of Spinal Cord Medicine
- Published
- 2024-10-11
- DOI
- https://doi.org/10.1080/10790268.2024.2400749
- Primary Topic
- Balance, Gait, and Falls Prevention
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- U.S. Department of Veterans Affairs