Human Motricity Studies Laboratory, Av. Generalíssimo Deodoro 01, Belém 66073-000, PA, Brazil.
Institute of Exact and Natural Sciences, Federal University of Pará, R. Augusto Corrêa, 01, Belém 66093-020, PA, Brazil.
Sensors (Basel). 2022 Apr 12;22(8):2935. doi: 10.3390/s22082935.
The evaluation of anticipatory postural adjustments (APAs) requires high-cost and complex handling systems, only available at research laboratories. New alternative methods are being developed in this field, on the other hand, to solve this issue and allow applicability in clinic, sport and hospital environments. The objective of this study was to validate an app for mobile devices to measure the APAs during gait initiation by comparing the signals obtained from cell phones using the Momentum app with measurements made by a kinematic system. The center-of-mass accelerations of a total of 20 healthy subjects were measured by the above app, which read the inertial sensors of the smartphones, and by kinematics, with a reflective marker positioned on their lumbar spine. The subjects took a step forward after hearing a command from an experimenter. The variables of the anticipatory phase, prior to the heel-off and the step phase, were measured. In the anticipatory phase, the linear correlation of all variables measured by the two measurement techniques was significant and indicated a high correlation between the devices (APAonset: r = 0.95, p < 0.0001; APAamp: r = 0.71, p = 0.003, and PEAKtime: r = 0.95, p < 0.0001). The linear correlation between the two measurement techniques for the step phase variables measured by ques was also significant (STEPinterval: r = 0.56, p = 0.008; STEPpeak1: r = 0.79, p < 0.0001; and STEPpeak2: r = 0.64, p < 0.0001). The Bland−Altman graphs indicated agreement between instruments with similar behavior as well as subjects within confidence limits and low dispersion. Thus, using the Momentum cell phone application is valid for the assessment of APAs during gait initiation compared to the gold standard instrument (kinematics), proving to be a useful, less complex, and less costly alternative for the assessment of healthy individuals.
评估预期姿势调整(APAs)需要高成本和复杂的处理系统,这些系统仅在研究实验室中可用。另一方面,为了解决这个问题,并允许在诊所、运动和医院环境中应用,该领域正在开发新的替代方法。本研究的目的是验证一款用于移动设备的应用程序,通过比较使用 Momentum 应用程序从手机获得的信号与在腰部放置反射标记的运动学系统测量的信号,来测量起始步态中的 APA。共有 20 名健康受试者的质心加速度由上述应用程序通过读取智能手机的惯性传感器进行测量,并通过运动学进行测量。受试者在听到实验者的命令后向前迈出一步。测量了预期阶段(在脚跟离地和步幅阶段之前)的变量。在预期阶段,两种测量技术测量的所有变量的线性相关性均具有统计学意义,表明两种设备之间具有高度相关性(APAA onset:r = 0.95,p < 0.0001;APAA amp:r = 0.71,p = 0.003,PEAKtime:r = 0.95,p < 0.0001)。通过 ques 测量的步幅阶段变量的两种测量技术之间的线性相关性也具有统计学意义(STEPinterval:r = 0.56,p = 0.008;STEPpeak1:r = 0.79,p < 0.0001;和 STEPpeak2:r = 0.64,p < 0.0001)。 Bland-Altman 图表明仪器之间具有相似的行为以及受试者在置信限内和低离散度下具有一致性。因此,与金标准仪器(运动学)相比,使用 Momentum 手机应用程序评估起始步态中的 APA 是有效的,证明它是评估健康个体的一种有用、更简单且成本更低的替代方法。