Richardson R Tyler, Nicholson Kristen F, Rapp Elizabeth A, Johnston Therese E, Richards James G
Biomechanics and Movement Science Program, University of Delaware, Newark, DE, USA.
Biomechanics and Movement Science Program, University of Delaware, Newark, DE, USA.
J Biomech. 2016 May 3;49(7):1255-1258. doi: 10.1016/j.jbiomech.2016.02.052. Epub 2016 Mar 4.
Accurate measurement of joint kinematics is required to understand the musculoskeletal effects of a therapeutic intervention such as upper extremity (UE) ergometry. Traditional surface-based motion capture is effective for quantifying humerothoracic motion, but scapular kinematics are challenging to obtain. Methods for estimating scapular kinematics include the widely-reported acromion marker cluster (AMC) which utilizes a static calibration between the scapula and the AMC to estimate the orientation of the scapula during motion. Previous literature demonstrates that including additional calibration positions throughout the motion improves AMC accuracy for single plane motions; however this approach has not been assessed for the non-planar shoulder complex motion occurring during UE ergometry. The purpose of this study was to evaluate the accuracy of single, dual, and multiple AMC calibration methods during UE ergometry. The orientations of the UE segments of 13 healthy subjects were recorded with motion capture. Scapular landmarks were palpated at eight evenly-spaced static positions around the 360° cycle. The single AMC method utilized one static calibration position to estimate scapular kinematics for the entire cycle, while the dual and multiple AMC methods used two and four static calibration positions, respectively. Scapulothoracic angles estimated by the three AMC methods were compared with scapulothoracic angles determined by palpation. The multiple AMC method produced the smallest RMS errors and was not significantly different from palpation about any axis. We recommend the multiple AMC method as a practical and accurate way to estimate scapular kinematics during UE ergometry.
要了解诸如上肢测力计训练等治疗干预对肌肉骨骼系统的影响，需要准确测量关节运动学。传统的基于表面的运动捕捉技术对于量化肩胸运动是有效的，但获取肩胛骨的运动学数据具有挑战性。估计肩胛骨运动学的方法包括广泛报道的肩峰标记簇（AMC）法，该方法利用肩胛骨和AMC之间的静态校准来估计运动过程中肩胛骨的方向。先前的文献表明，在整个运动过程中增加校准位置可提高AMC在单平面运动中的准确性；然而，这种方法尚未针对上肢测力计训练期间发生的非平面肩部复合运动进行评估。本研究的目的是评估上肢测力计训练期间单、双和多AMC校准方法的准确性。通过运动捕捉记录了13名健康受试者上肢节段的方向。在360°周期内八个均匀分布的静态位置触摸肩胛骨标志点。单AMC方法使用一个静态校准位置来估计整个周期的肩胛骨运动学，而双AMC和多AMC方法分别使用两个和四个静态校准位置。将三种AMC方法估计的肩胸角与通过触摸确定的肩胸角进行比较。多AMC方法产生的均方根误差最小，并且在任何轴向上与触摸法相比均无显著差异。我们建议将多AMC方法作为一种实用且准确的方法来估计上肢测力计训练期间的肩胛骨运动学。
