Ellsworth German Jack, Klisch Stephen M, Berg-Johansen Britta, Ocegueda Eric
Mechanical Engineering Department, College of Engineering, California Polytechnic State University, San Luis Obispo, CA 93407, USA.
Biomedical Engineering Department, College of Engineering, California Polytechnic State University, San Luis Obispo, CA 93407, USA.
Sensors (Basel). 2025 Apr 22;25(9):2639. doi: 10.3390/s25092639.
Balance assessment is a key metric for tracking the health and fall risk of individuals with balance impairment. Leveraging wearable sensors and mobile devices can increase clinical accessibility to objective balance metrics. Previous work has been conducted validating center of mass (COM) acceleration metrics from mobile devices against the gold standard force plate center of pressure (COP) position; however, most studies have been restricted to devices being placed close to the subject's COM. In this study, rigid body kinematics and the inverted pendulum model were used to develop a novel methodology for calculating COM acceleration using mobile devices in arbitrary positions, as well as an approach for conversion of COM measurements to COP position for direct validation with force plate measurements. Validation of this methodology included a direct comparison of smartphone and force plate results for COM accelerations and COP positions, as well as statistical comparisons using Spearman's rank correlation. The results show strong analysis performance for both approaches during a subject's intentional swaying, with more limited results in cases of little motion. The strong performance warrants future work to further improve accessibility by removing dependence on motion capture systems or replacing them with cost-effective alternatives. The accurate tracking of COM acceleration and COP position information for mobile devices at arbitrary positions increases the flexibility for future mobile or at-home balance assessments.
平衡评估是跟踪平衡功能受损个体的健康状况和跌倒风险的关键指标。利用可穿戴传感器和移动设备可以提高获取客观平衡指标的临床便利性。此前已有研究将移动设备的质心(COM)加速度指标与金标准测力平台的压力中心(COP)位置进行了验证;然而,大多数研究仅限于将设备放置在靠近受试者质心的位置。在本研究中,刚体运动学和倒立摆模型被用于开发一种新方法,用于计算任意位置使用移动设备时的质心加速度,以及一种将质心测量值转换为压力中心位置的方法,以便与测力平台测量值进行直接验证。该方法的验证包括对智能手机和测力平台在质心加速度和压力中心位置方面的结果进行直接比较,以及使用斯皮尔曼等级相关性进行统计比较。结果表明,在受试者有意摆动期间,两种方法都具有较强的分析性能,而在运动较少的情况下结果较为有限。这种强大的性能值得未来开展工作,通过消除对运动捕捉系统的依赖或用经济高效的替代方案取代它们来进一步提高便利性。移动设备在任意位置对质心加速度和压力中心位置信息的精确跟踪增加了未来进行移动或居家平衡评估的灵活性。