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Validating a New Machine-Learned Accelerometer Algorithm Using Doubly Labeled Water
RecruitingObservational studyHealthy volunteers welcome
Who can join
Ages 18 and older · All sexes · Healthy volunteers welcome
Full eligibility criteria
Inclusion Criteria: * must be 18+ years of age * be able to ambulate on own, unassisted, on a regular basis * speak and read English * must have access to a working smart phone and a computer with internet access Exclusion Criteria: * wheelchair reliant * assistive walking device reliant (cannot walk for at least 50 feet without an assistive device) * diagnosed uncontrolled hypertension (above 160/100 mgHg) * diagnosed cognitive impairment or inability to follow study procedures such as Alzheimer's disease or dementia * cannot take metabolic altering medications * cannot be pregnant * cannot be breastfeeding * cannot use supplemental oxygen * cannot completed required study activities for any reason * cannot have a resting heart rate \> 100 bpm or a resting blood pressure \> 160 mgHg during Visit 1 * cannot weigh more than 450 lbs
About the study
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.
What is being tested
- Doubly-Labeled Water (other)
Sponsor: University of Wisconsin, Milwaukee · Participants: 125 · Started: Mar 14, 2023
Contact the study team
- Katharine O'Connell Valuch · Phone: 414-229-4115
Official record on ClinicalTrials.gov — NCT05736302
Locations in the U.S.
| Wisconsin | University of Wisconsin-Milwaukee, Milwaukee |
Conditions
From ClinicalTrials.gov, data retrieved Sep 30, 2026. Each study sets its own eligibility; the study team decides who can join.