Department of Biomedical Engineering, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio, USA.
Department of Chemical and Biomedical Engineering, Cleveland State University, Cleveland, Ohio, USA.
Mov Disord. 2015 Aug;30(9):1214-21. doi: 10.1002/mds.26214. Epub 2015 Mar 25.
A significant gap remains in the ability to effectively characterize postural instability in individuals with Parkinson's disease. Clinical evaluation of postural declines is largely subjective, whereas objective biomechanical approaches are expensive and time consuming, thus limiting clinical adoption. Recent advances in mobile devices present an opportunity to address the gap in the quantification of postural stability. The aim of this project was to determine whether kinematic data measured by hardware within a tablet device, a 3rd generation iPad, was of sufficient quantity and quality to characterize postural stability.
Seventeen patients and 17 age-matched controls completed six balance conditions under altered surface, stance, and vision. Simultaneous kinematic measurements were gathered from a three-dimensional motion capture system and tablet.
The motion capture system and tablet provided similar measures of stability across groups. In particular, within the patient population, correlation between the two systems for peak-to-peak, normalized path length, root mean square, 95% volume, and total power values ranged from 0.66 to 1.00. Kinematic data from five balance conditions--double-leg stance with eyes open on a foam surface, double-leg stance with eyes closed on firm and foam surfaces, and tandem stance on firm and foam surfaces--were capable of discriminating patients from controls.
The hardware within the tablet provides data of sufficient accuracy for the quantification of postural stability in patients with Parkinson's disease. The objectivity, portability, and ease of use of this device make it ideal for use in clinical environments lacking sophisticated biomechanical systems.
在帕金森病患者中,有效描述姿势不稳定的能力仍存在显著差距。对姿势下降的临床评估在很大程度上是主观的,而客观的生物力学方法既昂贵又耗时,因此限制了临床应用。移动设备的最新进展为量化姿势稳定性提供了机会。本项目的目的是确定平板电脑设备(第三代 iPad)内部的硬件测量的运动学数据在数量和质量上是否足以描述姿势稳定性。
17 名患者和 17 名年龄匹配的对照者在改变的表面、站立和视觉条件下完成了六项平衡测试。同时从三维运动捕捉系统和平板电脑收集运动学测量数据。
运动捕捉系统和平板电脑为两组提供了相似的稳定性测量值。特别是在患者人群中,两个系统之间的相关性对于峰值到峰值、归一化路径长度、均方根、95%体积和总功率值在 0.66 到 1.00 之间。来自五种平衡条件的运动学数据——在泡沫表面上睁眼的双腿站立、在坚固和泡沫表面上闭眼的双腿站立以及在坚固和泡沫表面上的串联站立——能够区分患者和对照者。
平板电脑内部的硬件提供了足够精确的数据,可用于量化帕金森病患者的姿势稳定性。该设备的客观性、便携性和易用性使其成为缺乏复杂生物力学系统的临床环境中的理想选择。