4.5 Article

Absolute Reliability of Gait Parameters Acquired With Markerless Motion Capture in Living Domains

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FRONTIERS IN HUMAN NEUROSCIENCE
卷 16, 期 -, 页码 -

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FRONTIERS MEDIA SA
DOI: 10.3389/fnhum.2022.867474

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measurement error; repeatability; digital biomarkers; kinematics; rehabilitation outcomes; gait; markerless motion capture; spatiotemporal gait parameters

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This study examined the between-day absolute reliability of gait parameters acquired with Theia3D markerless motion capture. The results showed that the markerless motion capture produced low measurement error and offered reliable gait analysis suitable for biomechanical and clinical use.
Purpose: To examine the between-day absolute reliability of gait parameters acquired with Theia3D markerless motion capture for use in biomechanical and clinical settings. Methods: Twenty-one (7 M,14 F) participants aged between 18 and 73 years were recruited in community locations to perform two walking tasks: self-selected and fastest-comfortable walking speed. Participants walked along a designated walkway on two separate days.Joint angle kinematics for the hip, knee, and ankle, for all planes of motion, and spatiotemporal parameters were extracted to determine absolute reliability between-days. For kinematics, absolute reliability was examined using: full curve analysis [root mean square difference (RMSD)] and discrete point analysis at defined gait events using standard error of measurement (SEM). The absolute reliability of spatiotemporal parameters was also examined using SEM and SEM%. Results: Markerless motion capture produced low measurement error for kinematic full curve analysis with RMSDs ranging between 0.96 degrees and 3.71 degrees across all joints and planes for both walking tasks. Similarly, discrete point analysis within the gait cycle produced SEM values ranging between 0.91 degrees and 3.25 degrees for both sagittal and frontal plane angles of the hip, knee, and ankle. The highest measurement errors were observed in the transverse plane, with SEM >5 degrees for ankle and knee range of motion. For the majority of spatiotemporal parameters, markerless motion capture produced low SEM values and SEM% below 10%.Conclusion: Markerless motion capture using Theia3D offers reliable gait analysis suitable for biomechanical and clinical use.

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