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| Name | Class |
|---|---|
| Ministry of Science and Technology, Taiwan | OTHER_GOV |
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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.
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.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| 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. |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Microsoft Azure Kinect Developer Kit | Diagnostic Test | 3D images and 3D joint coordinates are obtained. |
|
| Measure | Description | Time Frame |
|---|---|---|
| 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 |
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Inclusion Criteria:
Exclusion Criteria:
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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.
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Li-Wen Lee, MD, PhD | Contact | +886 5 3621 000 | 2382 | m4572@cgmh.org.tw |
| Name | Affiliation | Role |
|---|---|---|
| Li-Wen Lee, MD, PhD | Chang Gung Memorial Hospital, Chiayi, Taiwan | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Chang Gung Memorial Hospital | Recruiting | Chiayi City | 61363 | Taiwan |
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| ID | Term |
|---|---|
| D015502 | Absorptiometry, Photon |
| ID | Term |
|---|---|
| D011859 | Radiography |
| D003952 | Diagnostic Imaging |
| D019937 | Diagnostic Techniques and Procedures |
| D003933 | Diagnosis |
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| Bioelectrical impedance analyzer | Diagnostic Test | Fat mass, fat-free mass and percentage body fat in total body and body segments are estimated. |
|
| Dual Energy X-ray Absorptiometry | Diagnostic Test | Skeletal length and body composition are estimated. |
|
| D003720 |
| Densitometry |
| D010783 | Photometry |
| D002623 | Chemistry Techniques, Analytical |
| D008919 | Investigative Techniques |