Development and Validation of Kinect Equations to Estimate Body Indices and Body Composition
试验速览
- 阶段
- 不适用
- 发起方
- 入组人数
- 240
- 试验地点
- 1
- 主要终点
- Develop and validate Kinect equations to predict body indices and body composition.
研究概览
简要总结
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.
详细描述
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.
研究设计
- 研究类型
- Observational
- 观察模型
- Case Only
- 时间视角
- Prospective
入排标准
- 年龄范围
- 6 Years 至 65 Years（Child, Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •Healthy children and adult
- •Age 6-65 years
排除标准
- •Chronic illness or chronic medication use (> 3 months)
- •Metal implant(s) or splint(s)
- •Pacemaker implantation
- •Limb defect(s) or injury
结局指标
主要结局
Develop and validate Kinect equations to predict body indices and body composition.
时间窗: 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.
Assess association and agreement in body indices and body composition between Kinect and standard methods.
时间窗: 36 months
Correlation and agreement between depth camera results are compared to the results of dual energy X-ray absorptiometry and bioelectrical impedance analysis.
次要结局
未报告次要终点
研究者
Li-Wen Lee
Consultant Radiologist
Chang Gung Memorial Hospital