ArticleGerontology & geriatric medicine
The Validation of a Pocket Worn Activity Tracker for Step Count and Physical Behavior in Older Adults during Simulated Activities of Daily Living.
Article in Gerontology & geriatric medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Multisensory System for Long-Term Activity Monitoring to Facilitate Aging-in-Place.Sensors (Basel, Switzerland) · 2023Article
- Using an Activity Tracker in Healthcare: Experiences of Healthcare Professionals and Patients.International journal of environmental research and public health · 2021Article
- Improving Older People's Lives Through Digital Technology and Practices.Gerontology & geriatric medicineArticle
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Authors and funding
6 authors.
Funding
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Abstract
purposeThe purpose of this study was to validate optimized algorithm parameter settings for step count and physical behavior for a pocket worn activity tracker in older adults during ADL. Secondly, for a more relevant interpretation of the results, the performance of the optimized algorithm was compared to three reference applications.
methodsIn a cross-sectional validation study, 20 older adults performed an activity protocol based on ADL with MOX
resultsFor step count, the optimized algorithm had a mean APE of 9.3% and a correlation coefficient of 0.88. The mean APE values of dynamic, standing, and sedentary time were 15.9%, 19.9%, and 9.6%, respectively. The correlation coefficients were 0.55, 0.91, and 0.92, respectively. Three reference applications showed higher errors and lower correlations for all outcome variables.
conclusionThis study showed that the optimized algorithm parameter settings can more validly estimate step count and physical behavior in older adults wearing an activity tracker in the trouser pocket during ADL compared to reference applications.
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