PDF(Pubmed)
Abstract：
Quantifying joint range of motion (RoM), the reachable poses at a joint, has many applications in research and clinical care. Joint RoM measurements can be used to investigate the link between form and function in extant and extinct animals, to diagnose musculoskeletal disorders and injuries or monitor rehabilitation progress. However, it is difficult to visually demonstrate how the rotations of the joint axes interact to produce joint positions. Here, we introduce the spherical frame projection (SFP), which is a novel 3D visualisation technique, paired with a complementary data collection approach. SFP visualisations are intuitive to interpret in relation to the joint anatomy because they \'trace\' the motion of the coordinate system of the distal bone at a joint relative to the proximal bone. Furthermore, SFP visualisations incorporate the interactions of degrees of freedom, which is imperative to capture the full joint RoM. For the collection of such joint RoM data, we designed a rig using conventional motion capture systems, including live audio-visual feedback on torques and sampled poses. Thus, we propose that our visualisation and data collection approach can be adapted for wide use in the study of joint function.
摘要：
量化关节运动范围(RoM)，在关节处可以到达的姿势，在研究和临床护理中有许多应用。联合RoM测量可用于研究现存和灭绝动物的形式和功能之间的联系，诊断肌肉骨骼疾病和损伤或监测康复进展。然而,很难在视觉上演示关节轴的旋转如何相互作用以产生关节位置。这里,我们介绍了球面框架投影(SFP)，这是一种新颖的3D可视化技术，与互补的数据收集方法配对。SFP可视化直观地解释了与关节解剖结构有关的关系，因为它们“跟踪”了关节处远端骨骼相对于近端骨骼的坐标系的运动。此外，SFP可视化结合了自由度的相互作用，这是捕获完整的联合RoM的必要条件。对于此类联合RoM数据的收集，我们设计了一个使用传统运动捕捉系统的钻机，包括对扭矩和采样姿势的实时视听反馈。因此，我们建议我们的可视化和数据收集方法可以适应广泛用于关节功能的研究。
