Validity and reliability of deep-learning-based 3D markerless motion capture to measure functional movement
Not Applicable
Completed
- Conditions
- Not Applicable
- Registration Number
- KCT0009062
- Lead Sponsor
- Yonsei University Mirae Campus
- Brief Summary
The Ergo had a high degree of validity compared with the measured values of marker-based motion capture system. The linear regression analysis showed a high to excellent validity and the RMSEs were ranging from 2.33±0.46 ° to 6.25±1.65° in all time series joint angles. The intraclass correlation coefficient showed an excellent validity in all joint peak angles and bland-Altman analysis revealed no significant bias. Furthermore, The Ergo showed high convenience and efficiency results in post-question surveys.
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Completed
- Sex
- All
- Target Recruitment
- 31
Inclusion Criteria
A person who can understand motion instructions and can perform motion without pain for more than 3 seconds
Exclusion Criteria
A person with a history of orthopedic surgery and neurological history
Study & Design
- Study Type
- Observational Study
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method
- Secondary Outcome Measures
Name Time Method