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首页> 外文期刊>Gait & posture >An ankle joint model-based image-matching motion analysis technique.
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An ankle joint model-based image-matching motion analysis technique.

机译:基于踝关节模型的图像匹配运动分析技术。

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摘要

This study presented a model-based image-matching (MBIM) motion analysis technique for ankle joint kinematic measurement. Five cadaveric below-hip specimens were manipulated through a full range of ankle joint motions in bare-foot and shoed conditions. The ankle motions were analyzed by bone-pin marker-based motion analysis and MBIM motion analysis techniques respectively. The root mean square errors of all angles of motion were less than 3 degrees . The average Intraclass Correlation Coefficients (ICCs) for the intra-rater reliability were greater than 0.928 and the average ICCs for the inter-rater reliability were greater than 0.948 for all angles of motion. Excellent validity, intra-rater reliability and inter-rater reliability were achieved for the MBIM technique in both bare-foot and shoed conditions. The MBIM technique can therefore provide good estimates of ankle joint kinematics.
机译:这项研究提出了一种基于模型的图像匹配(MBIM)运动分析技术,用于踝关节运动学测量。在赤脚和穿鞋条件下,通过一系列的踝关节运动来操纵五个尸体臀部下标本。分别通过基于骨钉标记的运动分析和MBIM运动分析技术分析了脚踝的运动。所有运动角度的均方根误差均小于3度。评估者内部可靠性的平均类内相关系数(ICC)大于0.928,评估者内部可靠性的平均ICC大于0.948。 MBIM技术在赤脚和擦鞋条件下均具有出色的有效性,评估者内部可靠性和评估者间可靠性。因此,MBIM技术可以提供踝关节运动学的良好估计。

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