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Clinical Trials/KCT0009062
KCT0009062
Completed
未知

Validity and reliability of deep-learning-based 3D markerless motion capture to measure functional movement

Yonsei University Mirae Campus0 sites31 target enrollmentTBD
ConditionsNot Applicable

Overview

Phase
未知
Intervention
Not specified
Conditions
Not Applicable
Sponsor
Yonsei University Mirae Campus
Enrollment
31
Status
Completed
Last Updated
2 years ago

Overview

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.

Registry
who.int
Start Date
TBD
End Date
October 20, 2023
Last Updated
2 years ago
Study Type
Observational Study
Sex
All

Investigators

Sponsor
Yonsei University Mirae Campus

Eligibility Criteria

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

Outcomes

Primary Outcomes

Not specified

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