← Eichor
Study identifier: NCT05736302 Synced from ClinicalTrials.gov · July 29, 2026
● Recruiting

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

Condition: Movement Disorders · Energy Metabolism  ·  Sponsor: University of Wisconsin, Milwaukee

PhaseN/A
Planned participants125
Who can joinAll sexes, 18 Years to no upper limit
Healthy volunteersYes

About this 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.

This description comes directly from the study's public registry record.

Talk to the study team

Katharine O'Connell Valuch  ·  414-229-4115  ·  oconnell@uwm.edu

Scott Strath, PhD  ·  sstrath@uwm.edu

Always discuss trial participation with your own doctor first.

Locations (1)

University of Wisconsin-MilwaukeeMilwaukee, Wisconsin, United StatesRecruiting

Follow this study

Get one email when the public record changes — results posted, or the study's status changes. Nothing else, ever.

We email about this public record only. Unsubscribe anytime with one click. Never medical advice.

Is this your study? This page was generated automatically from the public registry record. Sponsors can claim it — free — to add branding and verified contact routing. Claim this page →

This page is independently generated by Eichor from the public ClinicalTrials.gov record and re-synced daily. It is not the sponsor's official website unless claimed. Nothing here is medical advice; eligibility is always determined by the study team — talk to your own doctor first.

Source record: clinicaltrials.gov/study/NCT05736302