Evaluation of the Accuracy of a Computer Vision-based Tool for Assessment of Total Body Fat Percentage
NCT04854421 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 138
Last updated 2024-08-22
Summary
This research study is designed to validate the precision and accuracy of body measurement and composition results from a novel 2D imaging device that operates through a smart-phone application. Measurement references will be obtained through dual energy x-ray absorptiometry, air displacement plethysmography, bioelectrical impedance analysis, manual anthropometry, and previously validated 3D optical scanners.
Conditions
Interventions
- DEVICE
-
VBC
Body Composition will be measured using the VBC system that takes under 60 seconds per scan. Image capture for VBC will include taking a series of four photos using a smartphone camera. Data from the camera will be downloaded to a local computer and then securely sent to the cloud for automated analysis and results generation. We will conduct two consecutive scans (image captures) for each research participant.
Sponsors & Collaborators
-
Amazon, Inc.
collaborator INDUSTRY -
Massachusetts General Hospital
collaborator OTHER -
Pennington Biomedical Research Center
lead OTHER
Principal Investigators
-
Steven Heymsfield, M.D. · Pennington Biomedical Research Center
Eligibility
- Min Age
- 21 Years
- Max Age
- 80 Years
- Sex
- ALL
- Healthy Volunteers
- Yes
Timeline & Regulatory
- Start
- 2020-08-12
- Primary Completion
- 2020-12-21
- Completion
- 2020-12-21
Countries
- United States
Study Locations
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