Kinect Equations for Body Indices and Body Composition

Overview

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.

Full Title of Study: “Development and Validation of Kinect Equations to Estimate Body Indices and Body Composition”

Study Type

  • Study Type: Observational
  • Study Design
    • Time Perspective: Prospective
  • Study Primary Completion Date: July 31, 2024

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 Test: Microsoft Azure Kinect Developer Kit
    • 3D images and 3D joint coordinates are obtained.
  • Diagnostic Test: Bioelectrical impedance analyzer
    • Fat mass, fat-free mass and percentage body fat in total body and body segments are estimated.
  • Diagnostic Test: Dual Energy X-ray Absorptiometry
    • Skeletal length and body composition are estimated.

Arms, Groups and Cohorts

  • 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.

Clinical Trial Outcome Measures

Primary Measures

  • Assess association and agreement in body indices and body composition between Kinect and standard methods.
    • Time Frame: 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.
    • Time Frame: 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.

Participating in This Clinical Trial

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

Gender Eligibility: All

Minimum Age: 6 Years

Maximum Age: 65 Years

Investigator Details

  • Lead Sponsor
    • Chang Gung Memorial Hospital
  • Collaborator
    • Ministry of Science and Technology, Taiwan
  • Provider of Information About this Clinical Study
    • Principal Investigator: Li-Wen Lee, Consultant Radiologist – Chang Gung Memorial Hospital
  • Overall Official(s)
    • Li-Wen Lee, MD, PhD, Principal Investigator, Chang Gung Memorial Hospital, Chiayi, Taiwan
  • Overall Contact(s)
    • Li-Wen Lee, MD, PhD, +886 5 3621 000, m4572@cgmh.org.tw

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