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RECRUITING
NCT05736302
Validating a New Machine-Learned Accelerometer Algorithm Using Doubly Labeled Water
Sponsor: University of Wisconsin, Milwaukee
View on ClinicalTrials.gov
Summary
The purpose of this study is to validate previously developed physical function-clustered specific machine-learned accelerometer algorithms to estimate total daily energy expenditure (TDEE) in individuals with general movement and functional limitations.
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
OBSERVATIONAL
Enrollment
125
Start Date
2023-03-14
Completion Date
2026-12-31
Last Updated
2025-08-29
Healthy Volunteers
Yes
Conditions
Interventions
OTHER
Doubly-Labeled Water
All eligible participants will receive a dose of doubly-labeled water.
Locations (1)
University of Wisconsin-Milwaukee
Milwaukee, Wisconsin, United States