Concurrent validation of OpenCap for identifying ACL re-injury risk factors during a drop jump test in a healthy cohort
Bernhard Färber, Brian Horsak, Florian Kurt Paternoster

TL;DR
This study tested a new low-cost motion analysis system called OpenCap for identifying ACL re-injury risk factors during drop jumps.
Contribution
The study evaluates the concurrent validity of a modified OpenCap system for kinematic and kinetic analysis compared to traditional marker-based systems.
Findings
OpenCap showed strong correlations for knee kinematics but had high RMSE in frontal-plane measurements.
Hip and knee moments showed strong correlations but wide agreement limits for knee moment asymmetry.
SPM identified significant differences during ground contact phases, suggesting limitations in OpenCap's accuracy.
Abstract
3D motion analysis (3DMA) can help identify patients at increased risk of ACL re-injury, but traditional marker-based systems have limited clinical accessibility. OpenCap, a novel, low-cost, markerless system, aims to enhance accessibility to 3DMA. This study evaluated the concurrent validity of a modified OpenCap version using a 2-DOF knee model for kinematics, while kinetics and ground reaction forces were derived using the native 1-DOF model, compared to a marker-based system. Twenty-four healthy participants performed 240 drop jumps, with data simultaneously captured by both systems. Root mean square error (RMSE), mean absolute error (MAE), maximum error, Pearson correlation, Bland-Altman plots, and statistical parametric mapping (SPM) were used to analyze inter-system differences. RMSE exceeded 6° for frontal-plane knee kinematics with strong waveform correlations (r > 0.90).…
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Taxonomy
TopicsKnee injuries and reconstruction techniques · Total Knee Arthroplasty Outcomes · Lower Extremity Biomechanics and Pathologies
