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表面标志物簇的平移、旋转、缩放和变形:它们对软组织伪影的影响以及对膝关节运动学的作用。

Surface marker cluster translation, rotation, scaling and deformation: Their contribution to soft tissue artefact and impact on knee joint kinematics.

作者信息

Benoit D L, Damsgaard M, Andersen M S

机构信息

School of Rehabilitation Sciences, Faculty of Health Sciences, University of Ottawa, Ottawa, ON, Canada; Department of Mechanical Engineering, University of Ottawa, Ottawa, ON, Canada.

AnyBody Technology A/S, Aalborg, Denmark.

出版信息

J Biomech. 2015 Jul 16;48(10):2124-9. doi: 10.1016/j.jbiomech.2015.02.050. Epub 2015 Mar 27.

Abstract

When recording human movement with stereophotogrammetry, skin deformation and displacement (soft tissue artefact; STA) inhibits surface markers' ability to validly represent the movement of the underlying bone. To resolve this issue, the components of marker motions which contribute to STA must be understood. The purpose of this study is to describe and quantify which components of this marker motion (cluster translation, rotation, scaling and deformation) contribute to STA during the stance phase of walking, a cutting manoeuvre, and one-legged hops. In vivo bone pin-based tibio-femoral kinematics of six healthy subjects were used to study skin marker-based STA. To quantify how total cluster translation, rotation, scaling and deformation contribute to STA, a resizable and deformable cluster model was constructed. STA was found to be greater in the thigh than the shank during all three movements. We found that the non-rigid (i.e. scaling and deformation) movements contribute very little to the overall amount of error, rendering surface marker optimisation methods aimed at minimising this component superfluous. The results of the current study indicate that procedures designed to account for cluster translation and rotation during human movement are required to correctly represent the motion of body segments, however reducing marker cluster scaling and deformation will have little effect on STA.

摘要

当使用立体摄影测量法记录人体运动时,皮肤变形和位移(软组织伪影;STA)会抑制表面标记物有效代表其下方骨骼运动的能力。为解决此问题,必须了解标记物运动中导致STA的组成部分。本研究的目的是描述和量化在步行站立阶段、切割动作和单腿跳跃过程中,该标记物运动的哪些组成部分(簇平移、旋转、缩放和变形)会导致STA。利用六名健康受试者基于体内骨钉的胫股运动学来研究基于皮肤标记物的STA。为了量化簇的总平移、旋转、缩放和变形对STA的贡献,构建了一个可调整大小和变形的簇模型。在所有三种运动中,大腿的STA均大于小腿。我们发现非刚性(即缩放和变形)运动对总误差量的贡献很小,这使得旨在最小化该组成部分的表面标记物优化方法变得多余。当前研究结果表明,在人体运动过程中,需要采用旨在考虑簇平移和旋转的程序来正确表示身体节段的运动,然而减少标记物簇的缩放和变形对STA的影响很小。

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