Department of Computing and Mathematics, Manchester Metropolitan University, Manchester, United Kingdom.
Department of Sport and Exercise Sciences, Manchester Metropolitan University, Manchester, United Kingdom.
PLoS One. 2020 Feb 5;15(2):e0227485. doi: 10.1371/journal.pone.0227485. eCollection 2020.
Posturography provides quantitative, objective measurements of human balance and postural control for research and clinical use. However, it usually requires access to specialist equipment to measure ground reaction forces, which are not widely available in practice, due to their size or cost. In this study, we propose an alternative approach to posturography. It uses the skeletal output of an inexpensive Kinect depth camera to localise the Centre of Mass (CoM) of an upright individual. We demonstrate a pipeline which is able to measure postural sway directly from CoM trajectories, obtained from tracking the relative position of three key joints. In addition, we present the results of a pilot study that compares this method of measuring postural sway to the output of a NeuroCom SMART Balance Master. 15 healthy individuals (age: 42.3 ± 20.4 yrs, height: 172 ± 11 cm, weight: 75.1 ± 14.2 kg, male = 11), completed 25 Sensory Organisation Test (SOT) on a NeuroCom SMART Balance Master. Simultaneously, the sessions were recorded using custom software developed for this study (CoM path recorder). Postural sway was calculated from the output of both methods and the level of agreement determined, using Bland-Altman plots. Good agreement was found for eyes open tasks with a firm support, the agreement decreased as the SOT tasks became more challenging. The reasons for this discrepancy may lie in the different approaches that each method takes to calculate CoM. This discrepancy warrants further study with a larger cohort, including fall-prone individuals, cross-referenced with a marker-based system. However, this pilot study lays the foundation for the development of a portable device, which could be used to assess postural control, more cost-effectively than existing equipment.
姿势描记术为研究和临床应用提供了人体平衡和姿势控制的定量、客观测量。然而,它通常需要使用专门的设备来测量地面反作用力,由于其尺寸或成本,这些设备在实践中并不广泛使用。在这项研究中,我们提出了一种替代姿势描记术的方法。它使用价格低廉的 Kinect 深度摄像机的骨骼输出来定位直立个体的质心 (CoM)。我们展示了一个能够直接从 CoM 轨迹测量姿势摆动的管道,该轨迹是通过跟踪三个关键关节的相对位置获得的。此外,我们还介绍了一项初步研究的结果,该研究比较了这种测量姿势摆动的方法与 NeuroCom SMART Balance Master 的输出。15 名健康个体(年龄:42.3 ± 20.4 岁,身高:172 ± 11cm,体重:75.1 ± 14.2kg,男性=11)在 NeuroCom SMART Balance Master 上完成了 25 次感觉组织测试(SOT)。同时,使用为本研究开发的定制软件(CoM 路径记录器)记录会话。从两种方法的输出中计算出姿势摆动,并使用 Bland-Altman 图确定一致性水平。在睁眼任务和稳固支撑下,一致性良好,随着 SOT 任务变得更加具有挑战性,一致性降低。这种差异的原因可能在于每种方法计算 CoM 的不同方法。这种差异需要进一步研究,包括使用更大的队列,包括易跌倒的个体,并与基于标记的系统交叉引用。然而,这项初步研究为开发一种便携式设备奠定了基础,该设备可以比现有设备更经济有效地评估姿势控制。