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Theia3D无标记运动捕捉用于检测不同步速下矢状面运动学差异的同时效度。

Concurrent validity of Theia3D markerless motion capture for detecting sagittal kinematic differences between gait speeds.

作者信息

Walker Josh, Thomas Aaron, Lunn David E, Nicholson Gareth, Tucker Catherine B

机构信息

Carnegie School of Sport, Leeds Beckett University, Leeds, UK.

NIHR Leeds Biomedical Research Centre, Leeds Teaching Hospitals NHS Trust, Leeds, UK.

出版信息

J Sports Sci. 2025 Aug;43(16):1560-1571. doi: 10.1080/02640414.2025.2513151. Epub 2025 Jun 2.

Abstract

We do not yet understand the concurrent validity of markerless motion capture (MMC) to measure kinematic differences between multiple gait speeds. This study determined the capacity of Theia3D (Theia Markerless Inc.) MMC to detect sagittal-plane kinematic responses to different gait speeds during walking (3 and 5 km/h) and running (10 and 12 km/h). Fourteen participants ambulated on a motorised treadmill, while marker-based motion capture, through optoelectronic cameras (Oqus 7+, Qualisys AB), and MMC, through videos (Miqus, Qualisys AB) were synchronously collected. Sagittal-plane changes in pelvis, hip, knee, and ankle kinematics were compared. Mostly excellent waveform similarity was found for joint kinematic changes (coefficient of multiple determination [CMD] ≥ 0.87), but pelvic tilt was less similar (CMD ≤0.48). Agreement between outcome measures (joint minima and maxima, range of motion) was mostly good-to-excellent (intraclass correlation coefficient [ICC] = 0.475-0.950) with standard error of measurement values of less than 1°. Pelvis kinematics showed lower agreement between systems (ICC = 0.032-0.776). In this study, Theia3D detected changes in hip, knee, and ankle sagittal-plane joint kinematics between speeds with a similar accuracy to the marker-based approach. Therefore, Theia3D is appropriate for use if interested in lower-limb sagittal joint kinematics, but not pelvic tilt.

摘要

我们尚未了解无标记运动捕捉(MMC)在测量多种步态速度之间的运动学差异方面的同时效度。本研究确定了Theia3D(Theia Markerless Inc.)MMC在步行(3和5公里/小时)和跑步(10和12公里/小时)过程中检测矢状面运动学对不同步态速度反应的能力。14名参与者在电动跑步机上行走,同时通过光电摄像机(Oqus 7 +,Qualisys AB)进行基于标记的运动捕捉,并通过视频(Miqus,Qualisys AB)进行MMC同步采集。比较了骨盆、髋、膝和踝关节运动学在矢状面方向的变化。发现关节运动学变化的波形相似性大多极佳(多重决定系数[CMD]≥0.87),但骨盆倾斜度的相似性较低(CMD≤0.48)。结果测量指标(关节最小值和最大值、运动范围)之间的一致性大多良好至极佳(组内相关系数[ICC]=0.475 - 0.950),测量值的标准误差小于1°。骨盆运动学在两种系统之间的一致性较低(ICC = 0.032 - 0.776)。在本研究中,Theia3D检测不同速度之间髋、膝和踝关节矢状面关节运动学变化的准确性与基于标记的方法相似。因此,如果对下肢矢状关节运动学而不是骨盆倾斜度感兴趣,Theia3D是适用的。

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