Aliperti Christopher, Steckenrider Josiah, Sattari Darius, Peterson James, Bell Caspian, Zifchock Rebecca
Department of Civil and Mechanical Engineering, United States Military Academy, West Point, NY 10996, USA.
Sensors (Basel). 2024 Nov 21;24(23):7420. doi: 10.3390/s24237420.
The purpose of this paper is to describe ongoing research on appropriate instrumentation and analysis techniques to characterize postural stability, postural agility, and dynamic stability, which collectively comprise the postural control spectrum. This study had a specific focus on using emerging sensors to develop protocols suitable for use outside laboratory or clinical settings. First, we examined the optimal number and placement of wearable accelerometers for assessing postural stability. Next, we proposed metrics and protocols for assessing postural agility with the use of a custom force plate-controlled video game. Finally, we proposed a method to quantify dynamic stability during walking tasks using novel frequency-domain metrics extracted from acceleration data obtained with a single body-worn IMU. In each of the three studies, a surrogate for instability was introduced, and the sensors and metrics discussed in this paper show promise for differentiating these trials from stable condition trials. Next steps for this work include expanding the tested population size and refining the methods to even more reliably and unobtrusively characterize postural control status in a variety of scenarios.
本文旨在描述有关适当的仪器和分析技术的正在进行的研究,以表征姿势稳定性、姿势敏捷性和动态稳定性,这些共同构成了姿势控制范围。本研究特别关注使用新兴传感器来开发适用于实验室或临床环境之外的协议。首先,我们研究了用于评估姿势稳定性的可穿戴加速度计的最佳数量和放置位置。接下来,我们提出了使用定制测力板控制的视频游戏来评估姿势敏捷性的指标和协议。最后,我们提出了一种方法,使用从单个体外惯性测量单元(IMU)获得的加速度数据中提取的新型频域指标来量化步行任务期间的动态稳定性。在这三项研究的每一项中,都引入了不稳定性的替代指标,并且本文讨论的传感器和指标有望将这些试验与稳定状态试验区分开来。这项工作的下一步包括扩大测试人群规模,并完善方法,以便在各种场景中更可靠、更不显眼地表征姿势控制状态。