FeetMe 鞋垫系统：可重复性、测量标准误差和反应性。
The FeetMe Insoles System: Repeatability, Standard Error of Measure, and Responsiveness.
机构信息
Pôle Parasport-ISPC Synergies, CHU Raymond Poincaré, APHP, 92380 Garches, France.
Service de Médecine Physique et Réadapatation Locomotrice et Respiratoire, CHU Nantes, Nantes Université, 44093 Nantes, France.
出版信息
Sensors (Basel). 2024 Sep 18;24(18):6043. doi: 10.3390/s24186043.
BACKGROUND
Three-dimensional motion analysis using optoelectronic cameras and force platforms is typically used to quantify gait disorders. However, these systems have various limitations, particularly when assessing patients in an ecological environment. To address these limitations, several wearable devices have been developed. However, few studies have reported metrological information regarding their repeatability and sensitivity to change.
METHODS
A healthy adult performed 6 min walking tests with FeetMe system insoles under different walking conditions overground and on a treadmill. The standard error of measurement (SEM), the minimum detectable differences (MDDs), and the effect size (ES) were calculated for spatio-temporal parameters, and the ground reaction force was calculated from the 16,000 steps recorded.
RESULTS
SEM values were below 3.9% for the ground reaction force and below 6.8% for spatio-temporal parameters. ES values were predominantly high, with 72.9% of cases between overground and treadmill conditions with induced asymmetry, and 64.5% of cases between treadmill conditions with and without induced asymmetry exhibiting an ES greater than 1.2. The minimum detectable differences ranged from 4.5% to 10.7% for ground reaction forces and 2.1% to 18.9% for spatio-temporal parameters.
CONCLUSION
Our study demonstrated that the FeetMe system is a reliable solution. The sensitivity to change showed that these instrumented insoles can effectively reflect patient asymmetry and progress.
背景
使用光电摄像和力台的三维运动分析通常用于量化步态障碍。然而，这些系统存在各种局限性，特别是在评估生态环境中的患者时。为了解决这些局限性，已经开发了几种可穿戴设备。然而，关于其重复性和对变化的敏感性的计量信息，很少有研究报道。
方法
一名健康成年人在不同的步行条件下，使用 FeetMe 系统鞋垫在地面和跑步机上进行了 6 分钟的步行测试。测量标准误差（SEM）、最小可检测差异（MDDs）和效应量（ES）分别计算了时空参数，从记录的 16000 步中计算了地面反作用力。
结果
SEM 值在地面反作用力低于 3.9%，时空参数低于 6.8%。ES 值主要较高，在诱导不对称的地面和跑步机条件下有 72.9%的情况下，在有和没有诱导不对称的跑步机条件下有 64.5%的情况下，ES 值大于 1.2。最小可检测差异范围为地面反作用力的 4.5%至 10.7%，时空参数的 2.1%至 18.9%。
结论
我们的研究表明，FeetMe 系统是一种可靠的解决方案。对变化的敏感性表明，这些仪器化鞋垫可以有效地反映患者的不对称性和进展。
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