Barré Arnaud, Aissaoui Rachid, Aminian Kamiar, Dumas Raphaël
Laboratory of Movement Analysis and Measurement, Ecole Polytechnique Fédérale de Lausanne, 1015 Lausanne, Switzerland; Laboratoire de recherche en imagerie et orthopédie, Centre de recherche du Centre Universitaire Hospitalier de Montréal, École de technologie supérieure, Montréal, Canada.
Laboratoire de recherche en imagerie et orthopédie, Centre de recherche du Centre Universitaire Hospitalier de Montréal, École de technologie supérieure, Montréal, Canada.
J Biomech. 2017 Sep 6;62:21-26. doi: 10.1016/j.jbiomech.2017.04.036. Epub 2017 May 22.
The estimation of joint kinematics from skin markers is hindered by the soft tissue artefact (STA), a well-known phenomenon although not fully characterized. While most assessments of the STA have been performed based on the individual skin markers displacements, recent assessments were based on the marker-cluster geometrical transformations using, e.g., principal component or modal analysis. However, these marker-clusters were generally made of 4-6 markers and the current findings on the STA could have been biased by the limited number of skin makers analysed. The objective of the present study was therefore to confirm them with a high-density marker set, i.e. 40 markers placed on the segments. A larger number of modes than found in the literature was required to describe the STA. Nevertheless, translations and rotations of the marker-cluster remained the main STA modes, archetypally the translation along the proximal-distal and anterior-posterior axes for the shank and the translation along the proximal-distal axis and the rotation about the medial-lateral axis for the thigh. High correlations were also found between the knee flexion angle and the amplitude of these modes for the thigh whereas moderate ones were found for the shank. These findings support the current re-orientation of the STA compensation methods, from bone pose estimators which typically address the non-rigid components of the marker-cluster to kinematic-driven rigid-component STA models.
从皮肤标记估计关节运动学受到软组织伪影(STA)的阻碍,这是一种众所周知的现象,但尚未完全明确其特征。虽然大多数对STA的评估是基于单个皮肤标记的位移进行的,但最近的评估是基于标记簇的几何变换,例如使用主成分分析或模态分析。然而,这些标记簇通常由4 - 6个标记组成,目前关于STA的研究结果可能因所分析的皮肤标记数量有限而存在偏差。因此,本研究的目的是使用高密度标记集(即40个标记放置在各节段上)来证实这些结果。描述STA需要比文献中发现的更多的模态。尽管如此,标记簇的平移和旋转仍然是主要的STA模态,典型的是小腿沿近端 - 远端和前后轴的平移,以及大腿沿近端 - 远端轴的平移和绕内外轴的旋转。在大腿上,还发现膝关节屈曲角度与这些模态的幅度之间存在高度相关性,而在小腿上则发现相关性中等。这些发现支持了当前STA补偿方法的重新定位,从通常处理标记簇非刚性成分的骨位姿估计器转向运动学驱动的刚性成分STA模型。