Kinect Equations for Body Indices and Body Composition
Development and Validation of Kinect Equations to Estimate Body Indices and Body Composition
1 other identifier
observational
240
1 country
1
Brief Summary
This perspective observational study will recruited 240 participants for investigating the feasibility of using Microsoft Azure Kinect developer kit as a method for body indices and body composition. Reference methods will be dual energy X-ray absorptiometry and bioelectrical impedance analysis.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Sep 2021
Typical duration for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
July 11, 2021
CompletedFirst Posted
Study publicly available on registry
July 20, 2021
CompletedStudy Start
First participant enrolled
September 1, 2021
CompletedPrimary Completion
Last participant's last visit for primary outcome
July 31, 2024
CompletedStudy Completion
Last participant's last visit for all outcomes
July 31, 2024
CompletedAugust 31, 2021
August 1, 2021
2.9 years
July 11, 2021
August 30, 2021
Conditions
Keywords
Outcome Measures
Primary Outcomes (2)
Assess association and agreement in body indices and body composition between Kinect and standard methods.
Correlation and agreement between depth camera results are compared to the results of dual energy X-ray absorptiometry and bioelectrical impedance analysis.
36 months
Develop and validate Kinect equations to predict body indices and body composition.
Prediction equations for body indices and body composition are created using dual energy X-ray absorptiometry and bioelectrical impedance analysis as reference tools.
36 months
Study Arms (1)
Children and adult
Participants aged 6-65 years old are recruited for the measurements of depth camera, bioelectrical impedance analysis and dual energy X-ray absorptiometry.
Interventions
3D images and 3D joint coordinates are obtained.
Fat mass, fat-free mass and percentage body fat in total body and body segments are estimated.
Skeletal length and body composition are estimated.
Eligibility Criteria
Apparently healthy participants aged 6-65 years are recruited for this study within 3 years. Estimated enrolled number are 240. Eligible participants will visit study site once and take the measurements.
You may qualify if:
- Healthy children and adult
- Age 6-65 years
You may not qualify if:
- Chronic illness or chronic medication use (\> 3 months)
- Pregnant
- Metal implant(s) or splint(s)
- Pacemaker implantation
- Limb defect(s) or injury
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Chang Gung Memorial Hospital
Chiayi City, 61363, Taiwan
MeSH Terms
Interventions
Intervention Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Li-Wen Lee, MD, PhD
Chang Gung Memorial Hospital, Chiayi, Taiwan
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- CASE ONLY
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Consultant Radiologist
Study Record Dates
First Submitted
July 11, 2021
First Posted
July 20, 2021
Study Start
September 1, 2021
Primary Completion
July 31, 2024
Study Completion
July 31, 2024
Last Updated
August 31, 2021
Record last verified: 2021-08
Data Sharing
- IPD Sharing
- Will not share