Heidari Omid, Pourgharibshahi Vahid, Urfer Alex, Perez-Gracia Alba
Annu Int Conf IEEE Eng Med Biol Soc. 2018 Jul;2018:1476-1480. doi: 10.1109/EMBC.2018.8512494.
This work analyzes the human shoulder complex workspace by introducing a new method to estimate the intraarticulation location of the glenohumeral (GH) joint. The proposed algorithm is based on the hypothesis of the GH joint remaining fixed during the first 30 degrees of shoulder elevation. This part of any vertical movement is considered to estimate the center of spherical motions CoS) where the humeral head is located.For the experimental results, six subjects performed 5 cycles of 12 different movements in different planes. The data are collected using motion capture, for various landmarks of the shoulder girdle. With the proposed method, estimating the location of GH is possible for any motion of the shoulder girdle complex. In order to complete the kinematic model of the shoulder complex, PCA is used to identify a relation between the shoulder joints. This technique indicates that the shoulder complex can be modeled using two degrees of freedom (DOFs) to locate the spherical GH joint. The overall shoulder model can generate any possible vertical motion of the human shoulder.
本研究通过引入一种新方法来估计肱骨头（GH）关节的关节内位置，从而分析人体肩部复合体的工作空间。所提出的算法基于GH关节在肩部抬高的前30度保持固定的假设。任何垂直运动的这一部分都被用来估计肱骨头所在的球面运动中心（CoS）。对于实验结果，六名受试者在不同平面上进行了5个周期的12种不同运动。使用运动捕捉技术收集了肩部带的各种标志点的数据。利用所提出的方法，可以对肩部带复合体的任何运动估计GH的位置。为了完善肩部复合体的运动学模型，使用主成分分析（PCA）来确定肩关节之间的关系。该技术表明，肩部复合体可以用两个自由度（DOF）来建模，以定位球形GH关节。整个肩部模型可以生成人体肩部的任何可能的垂直运动。
