Ozinga Sarah J, Koop Mandy Miller, Linder Susan M, Machado Andre G, Dey Tanujit, Alberts Jay L
Department of Biomedical Engineering, Cleveland Clinic, Cleveland, OH, USA.
Cleveland Clinic Concussion Center, Cleveland Clinic, Cleveland, OH, USA.
NeuroRehabilitation. 2017;41(1):211-218. doi: 10.3233/NRE-171473.
Postural instability is a hallmark of Parkinson's disease. Objective metrics to characterize postural stability are necessary for the development of treatment algorithms to aid in the clinical setting.
The aim of this project was to validate a mobile device platform and resultant three-dimensional balance metric that characterizes postural stability.
A mobile Application was developed, in which biomechanical data from inertial sensors within a mobile device were processed to characterize movement of center of mass in the medial-lateral, anterior-posterior and trunk rotation directions. Twenty-seven individuals with Parkinson's disease and 27 age-matched controls completed various balance tasks. A postural stability metric quantifying the amplitude (peak-to-peak) of sway acceleration in each movement direction was compared between groups. The peak-to-peak value in each direction for each individual with Parkinson's disease across all trials was expressed as a normalized value of the control data to identify individuals with severe postural instability, termed Cleveland Clinic-Postural Stability Index.
In all conditions, the balance metric for peak-to-peak was significantly greater in Parkinson's disease compared to controls (p < 0.01 for all tests).
The balance metric, in conjunction with mobile device sensors, provides a rapid and systematic metric for quantifying postural stability in Parkinson's disease.
姿势不稳是帕金森病的一个标志。开发用于辅助临床的治疗算法需要客观指标来描述姿势稳定性。
本项目旨在验证一个移动设备平台以及由此产生的用于描述姿势稳定性的三维平衡指标。
开发了一个移动应用程序，对移动设备内惯性传感器的生物力学数据进行处理，以描述重心在内外侧、前后和躯干旋转方向上的运动。27名帕金森病患者和27名年龄匹配的对照者完成了各种平衡任务。比较了两组之间量化每个运动方向摇摆加速度幅度（峰峰值）的姿势稳定性指标。将所有试验中每名帕金森病患者在每个方向上的峰峰值表示为对照数据的归一化值，以识别姿势严重不稳的个体，即克利夫兰诊所姿势稳定性指数。
在所有情况下，帕金森病患者的峰峰值平衡指标均显著高于对照组（所有测试p<0.01）。
该平衡指标与移动设备传感器相结合，为量化帕金森病患者的姿势稳定性提供了一种快速且系统的指标。
