Sport, Performance and Nutrition Research Group, School of Allied Health, Human Services and Sport, La Trobe University, Melbourne, VIC 3083, Australia.
Department of Nursing and Allied Health, School of Health Sciences, Swinburne University of Technology, Hawthorn, VIC 3122, Australia.
Sensors (Basel). 2024 May 24;24(11):3378. doi: 10.3390/s24113378.
The variability and regularity of stride time may help identify individuals at a greater risk of injury during military load carriage. Wearable sensors could provide a cost-effective, portable solution for recording these measures, but establishing their validity is necessary. This study aimed to determine the agreement of several measures of stride time variability across five wearable sensors (Opal APDM, Vicon Blue Trident, Axivity, Plantiga, Xsens DOT) and force plates during military load carriage. Nineteen Australian Army trainee soldiers (age: 24.8 ± 5.3 years, height: 1.77 ± 0.09 m, body mass: 79.5 ± 15.2 kg, service: 1.7 ± 1.7 years) completed three 12-min walking trials on an instrumented treadmill at 5.5 km/h, carrying 23 kg of an external load. Simultaneously, 512 stride time intervals were identified from treadmill-embedded force plates and each sensor where linear (standard deviation and coefficient of variation) and non-linear (detrended fluctuation analysis and sample entropy) measures were obtained. Sensor and force plate agreement was evaluated using Pearson's r and intraclass correlation coefficients. All sensors had at least moderate agreement (ICC > 0.5) and a strong positive correlation (r > 0.5). These results suggest wearable devices could be employed to quantify linear and non-linear measures of stride time variability during military load carriage.
步时变异性和规律性可能有助于识别在军事负重过程中受伤风险较高的个体。可穿戴传感器可以为记录这些措施提供一种具有成本效益、便携的解决方案，但需要确定其有效性。本研究旨在确定在军事负重过程中，五个可穿戴传感器（Opal APDM、Vicon Blue Trident、Axivity、Plantiga、Xsens DOT）和测力板对步时变异性的几个测量指标的一致性。19 名澳大利亚陆军新兵（年龄：24.8±5.3 岁，身高：1.77±0.09m，体重：79.5±15.2kg，服役年限：1.7±1.7 年）在装有仪器的跑步机上以 5.5km/h 的速度完成了三次 12 分钟的步行试验，携带 23kg 的外部负荷。同时，从跑步机嵌入式测力板和每个传感器中识别出 512 个步时间隔，其中获得了线性（标准差和变异系数）和非线性（去趋势波动分析和样本熵）测量值。使用 Pearson's r 和组内相关系数评估传感器和测力板的一致性。所有传感器都具有至少中度的一致性（ICC＞0.5）和强烈的正相关性（r＞0.5）。这些结果表明，可穿戴设备可以用于量化军事负重过程中步时变异性的线性和非线性测量值。
