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Validating a New Machine-Learned Accelerometer Algorithm Using Doubly Labeled Water

University of Wisconsin, Milwaukee · with University of Colorado, Denver, University of Massachusetts, Amherst · NCT05736302

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Opens the official ClinicalTrials.gov record, with the study team’s contacts. Bored Studies doesn’t enroll anyone.

Key facts

Compensation
Not posted. Ask the study team before screening.
Who can join
Ages 18+ · All sexes
Healthy volunteers
Accepted
Study type
Observational
Target enrollment
125
US sites recruiting
1
Study start
March 14, 2023
Record last updated
May 4, 2026

Status re-checked against ClinicalTrials.gov within the last 12 hours.

What the study is about

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.

Being studied: Doubly-Labeled Water

Conditions: Movement Disorders; Energy Metabolism

Eligibility criteria

Copied from the official record. The study team makes the final decision at screening.

Show full 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

Recruiting US locations

  • University of Wisconsin-Milwaukee

    Milwaukee, WI 53211

    Site contact: Katharine O'Connell Valuch

Study contacts (from the official record)

  • Katharine O'Connell Valuch · 414-229-4115 · oconnell@uwm.edu
  • Scott Strath, PhD · sstrath@uwm.edu
All healthy volunteers studies in Wisconsin →
Validating a New Machine-Learned Accelerometer Algorithm Using… (NCT05736302) | Bored Studies