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Concurrent and Angle-Trajectory Validity and Intra-Trial Reliability of a Novel Multi-View Image-Based Motion Analysis System

Namgo Lee, Jung-Hoon Ahn, Wootaek Lım

2023Journal of Human Kinetics11 citationsDOIOpen Access PDF

Abstract

Sports-related injuries are the most common in the lower extremities among physical regions. To evaluate impaired functional performance in sports training facilities and sports, a marker-less motion analysis system that can measure joint kinematics in bright indoor and outdoor environments is required. The aim of this study was to establish the concurrent and angle-trajectory validity and intra-trial reliability of a novel multi-view image-based motion analysis system with marker-less pose estimation during lower extremity tasks in healthy young men. Ten healthy young men participated voluntarily in this study. The hip and knee joint angles were collected using a multi-view image-based motion analysis system (marker-less) and a Vicon motion capture system (with markers) during the lower extremity tasks. Intraclass correlation coefficient (ICC) analyses were used to identify the concurrent and angle-trajectory validity and intra-trial reliability of the multi-view image-based motion analysis system. In the concurrent validity, the correlation analysis revealed that the ICC3, k values on the hip and knee flexions during knee bending in sitting, standing, and squat movements were from 0.747 to 0.936 between the two systems. In particular, the angle-trajectory validity was very high (ICC3, 1 = 0.859-0.998), indicating a high agreement between the two systems. The intra-trial reliability of each system was excellent (ICC3, 1 = 0.773-0.974), reflecting high reproducibility. We suggest that this novel marker-less motion analysis system is highly accurate and reliable for measuring joint kinematics of the lower extremities during the rehabilitation process and monitoring sports performance of athletes in training facilities.

Topics & Concepts

Concurrent validityMotion analysisKinematicsIntraclass correlationMotion captureReliability (semiconductor)TrajectoryComputer sciencePhysical medicine and rehabilitationMotion (physics)SquatValidityReproducibilityArtificial intelligenceComputer visionMedicineMathematicsStatisticsSurgeryPhysicsQuantum mechanicsPsychometricsPower (physics)Internal consistencyPatient satisfactionClassical mechanicsAstronomySports injuries and preventionShoulder Injury and TreatmentKnee injuries and reconstruction techniques