Huang Piao, Mostovov Andrey, Cohen Raphaël, Cadilhac Céline, Pionnier Raphaël
FeetMe SAS, 157 boulevard Macdonald, 75019, Paris, France.
Hôpitaux Paris-Est Val de Marne, Unité Fonctionnelle d'Analyse du Mouvement (UFAM), 14 rue du Val d'Osne, 94410, Saint-Maurice, France.
Sci Rep. 2025 Apr 18;15(1):13476. doi: 10.1038/s41598-025-96878-8.
Traditional gait measurement systems are often limited by factors such as cost, complexity, prolonged setup times, and requirements for specialized training and expertise. Wearable pressure- and motion-sensing insoles have opened new possibilities for accessible gait analysis in real-life conditions. This study evaluated the equivalence of FeetMe insole measurements of gait parameters to those of a laboratory gold standard, optoelectronic motion capture system coupled to force platforms (MoCap/FP). Gait and posture parameters were assessed in 37 healthy adults by FeetMe insoles and by MoCap/FP system simultaneously. Means and variances were compared, and inter-device agreement was assessed for each parameter. Between-device equivalence was demonstrated for all parameters assessed (two one-sided t tests: P < .001). For static parameters, six of 13 variables presented excellent interclass correlation coefficients (ICCs ≥ 0.90) and three had good ICCs (≥ 0.75 to < 0.90). Moreover, 10 of 11 spatiotemporal parameters showed excellent accuracy (ICCs ≥ 0.90), and three of four kinetic parameters showed moderate-to-good accuracy (ICCs between 0.78 and 0.89). In summary, FeetMe can be considered as a valid gait measurement tool compared to the high precision MoCap/FP system and could be used in clinical practice to assess a wide range of gait and posture parameters, overcoming some limitations of traditional systems.
传统的步态测量系统常常受到成本、复杂性、设置时间长以及对专业培训和专业知识要求等因素的限制。可穿戴压力和运动感应鞋垫为在现实生活条件下进行便捷的步态分析开辟了新的可能性。本研究评估了FeetMe鞋垫对步态参数的测量结果与实验室金标准——耦合力平台的光电运动捕捉系统(MoCap/FP)测量结果的等效性。通过FeetMe鞋垫和MoCap/FP系统同时对37名健康成年人的步态和姿势参数进行了评估。比较了均值和方差,并评估了每个参数在不同设备之间的一致性。对于所有评估参数均证明了不同设备之间的等效性(双侧t检验:P < 0.001)。对于静态参数,13个变量中有6个呈现出优秀的组内相关系数(ICC≥0.90),3个具有良好的ICC(≥0.75至<0.90)。此外,11个时空参数中有10个显示出优秀的准确性(ICC≥0.90),4个动力学参数中有3个显示出中等至良好的准确性(ICC在0.78至0.89之间)。总之,与高精度的MoCap/FP系统相比,FeetMe可被视为一种有效的步态测量工具,并且可用于临床实践中评估广泛的步态和姿势参数,克服了传统系统的一些局限性。