Ozinga Sarah J, Linder Susan M, Alberts Jay L
Department of Biomedical Engineering, Cleveland Clinic, Cleveland, OH.
Department of Biomedical Engineering, Cleveland Clinic, Cleveland, OH; Cleveland Clinic Concussion Center, Cleveland Clinic, Cleveland, OH.
Arch Phys Med Rehabil. 2017 Apr;98(4):649-658. doi: 10.1016/j.apmr.2016.08.479. Epub 2016 Sep 23.
To determine the accuracy of inertial measurement unit data from a mobile device using the mobile device relative to posturography to quantify postural stability in individuals with Parkinson disease (PD).
Criterion standard.
Motor control laboratory at a clinic.
A sample (N=28) of individuals with mild to moderate PD (n=14) and age-matched community-dwelling individuals without PD (n=14) completed the study.
Not applicable.
Center of mass (COM) acceleration measures were compared between the mobile device and the NeuroCom force platform to determine the accuracy of mobile device measurements during performance of the Sensory Organization Test (SOT). Analyses examined test-retest reliability of both systems and sensitivity of (1) the equilibrium score from the SOT and (2) COM acceleration measures from the force platform and mobile device to quantify postural stability across populations.
Metrics of COM acceleration from inertial measurement unit data and the NeuroCom force platform were significantly correlated across balance conditions and groups (Pearson r range, .35 to .97). The SOT equilibrium scores failed to discriminate individuals with and without PD. However, the multiplanar measures of COM acceleration from the mobile device exhibited good to excellent reliability across SOT conditions and were able to discriminate individuals with and without PD in conditions with the greatest balance demands.
Metrics employing medial-lateral movement produce a more sensitive outcome than the equilibrium score in identifying postural instability associated with PD. Overall, the output from the mobile device provides an accurate and reliable method of rapidly quantifying balance in individuals with PD. The portable and affordable nature of a mobile device with the application makes it ideally suited to use biomechanical data to aid in clinical decision making.
使用移动设备确定其惯性测量单元数据相对于姿势描记法的准确性，以量化帕金森病（PD）患者的姿势稳定性。
标准对照。
一家诊所的运动控制实验室。
轻度至中度PD患者样本（N = 28）（n = 14）和年龄匹配的无PD社区居住个体（n = 14）完成了该研究。
不适用。
在感觉统合测试（SOT）过程中，比较移动设备和NeuroCom力平台之间的质心（COM）加速度测量值，以确定移动设备测量的准确性。分析检查了两个系统的重测信度以及（1）SOT平衡评分和（2）力平台及移动设备的COM加速度测量值对不同人群姿势稳定性量化的敏感性。
在不同平衡条件和组中，惯性测量单元数据和NeuroCom力平台的COM加速度指标显著相关（Pearson相关系数范围为0.35至0.97）。SOT平衡评分未能区分有无PD的个体。然而，移动设备的COM加速度多平面测量值在SOT各条件下表现出良好至优秀的信度，并且在平衡需求最大的条件下能够区分有无PD的个体。
在识别与PD相关的姿势不稳方面，采用内外侧运动的指标比平衡评分产生更敏感的结果。总体而言，移动设备的输出提供了一种准确可靠的方法，可快速量化PD患者的平衡。具有该应用程序的移动设备便携且价格低廉，使其非常适合利用生物力学数据辅助临床决策。
