Reliability and validity of knee valgus angle calculation at single-leg drop landing by posture estimation using machine learning

The consensus on anterior cruciate ligament (ACL) injury prevention involves the suppression of dynamic knee valgus (DKV). The gold standard for evaluating the DKV includes three-dimensional motion analysis systems; however, these are expensive and cannot be used to evaluate all athletes. Markerless...

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Veröffentlicht in:Heliyon 2024-09, Vol.10 (17), p.e36338, Article e36338
Hauptverfasser: Asaeda, Makoto, Onishi, Tomoya, Ito, Hideyuki, Miyahara, So, Mikami, Yukio
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Sprache:eng
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Zusammenfassung:The consensus on anterior cruciate ligament (ACL) injury prevention involves the suppression of dynamic knee valgus (DKV). The gold standard for evaluating the DKV includes three-dimensional motion analysis systems; however, these are expensive and cannot be used to evaluate all athletes. Markerless motion-capture systems and joint angle calculations using posture estimation have been reported. However, there have been no reports on the reliability and validity of DKV calculations using posture estimation. This study aimed to clarify the reliability and validity of DKV calculation using posture estimation. Fifteen participants performed 10 single-leg jump landings from a height of 20 cm, and the knee joint angle was calculated using joint points measured using machine learning (MediaPipe Pose) and motion-capture systems (VICON MX). Two types of angle calculation methods were used: absolute value and change from the initial ground contact (IC). Intra- and inter-rater reliabilities were examined using intraclass correlation coefficients, and concurrent validity was examined using Pearson's correlation coefficients. To examine intra-examiner reliability, we performed single-leg jump landings at intervals of ≥3 days. The calculation by MediaPipe Pose was significantly higher than that by the 3-D motion analysis systems (p  0.05). No significant concurrent validity was found in the absolute value, which was significantly correlated with the change in IC. Although the inter-rater reliability of the absolute value was low, the change in IC showed good reliability and concurrent validity. The results of this research suggest that the DKV calculation by pose estimation using machine learning is practical, with normalization by the angle at IC. •The error of knee valgus angle by MediaPipe Pose ranged from 18.83 to 19.68°.•Validity of MediaPipe Pose showed good results by normalization.•Intra and inter reliability of MediaPipe Pose was modest or better.•Many advantages of using MediaPipe Posefor screening the knee valgus angle.
ISSN:2405-8440
2405-8440
DOI:10.1016/j.heliyon.2024.e36338