Anthropometry, Body Composition
Conditions
Keywords
Anthropometry, Body Composition
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.
Detailed description
The purpose of this research is to validate the precision and accuracy of Microsoft Azure Kinect Developer Kit in the application of body anthropometric index and body composition measures. This study assumes that depth camera along with skeletal tracking package can estimate the 3D joint position and skeletal length. A dual energy X-ray absorptiometry scanner, a medical device with a daily background dose of radiation will be used as the gold standard. This study aims to investigate the correlation and agreement of using Kinect in estimating skeletal length and body composition in human.A total of 240 participants including children and adults will be recruited for measurements in a 3-year period.
Interventions
DIAGNOSTIC_TESTMicrosoft Azure Kinect Developer Kit
3D images and 3D joint coordinates are obtained.
DIAGNOSTIC_TESTBioelectrical impedance analyzer
Fat mass, fat-free mass and percentage body fat in total body and body segments are estimated.
DIAGNOSTIC_TESTDual Energy X-ray Absorptiometry
Skeletal length and body composition are estimated.
Sponsors
Ministry of Science and Technology, Taiwan
Chang Gung Memorial Hospital
Study design
Observational model
CASE_ONLY
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
6 Years to 65 Years
Inclusion criteria
* Healthy children and adult * Age 6-65 years
Exclusion criteria
* Chronic illness or chronic medication use (\> 3 months) * Pregnant * Metal implant(s) or splint(s) * Pacemaker implantation * Limb defect(s) or injury
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Assess association and agreement in body indices and body composition between Kinect and standard methods. | 36 months | Correlation and agreement between depth camera results are compared to the results of dual energy X-ray absorptiometry and bioelectrical impedance analysis. |
| Develop and validate Kinect equations to predict body indices and body composition. | 36 months | Prediction equations for body indices and body composition are created using dual energy X-ray absorptiometry and bioelectrical impedance analysis as reference tools. |
Countries
Taiwan
Contacts
Primary ContactLi-Wen Lee, MD, PhD
Outcome results
None listed