Ráfales-Perucha Andrés, Bravo-Viñuales Elisa, Molina-Molina Alejandro, Cartón-Llorente Antonio, Cardiel-Sánchez Silvia, Roche-Seruendo Luis E
Faculty of Health Sciences, Universidad San Jorge, Villanueva de Gállego, 50830 Zaragoz, Spain.
Sensors (Basel). 2024 Dec 7;24(23):7825. doi: 10.3390/s24237825.
The evaluation of gait biomechanics using portable inertial measurement units (IMUs) offers real-time feedback and has become a crucial tool for detecting gait disorders. However, many of these devices have not yet been fully validated. The aim of this study was to assess the concurrent validity and relative reliability of the RunScribe™ system for measuring spatiotemporal gait parameters during walking. A total of 460 participants (age: 36 ± 13 years; height: 173 ± 9 cm; body mass: 70 ± 13 kg) were asked to walk on a treadmill at 5 km·h. Spatiotemporal parameters of step frequency (SF), step length (SL), step time (ST), contact time (CT), swing time (SwT), stride time (StT), stride length (StL) and normalized stride length (StL%) were measured through RunScribe™ and OptoGait™ systems. Bland-Altman analysis indicated small systematic biases and random errors for all variables. Pearson correlation analysis showed strong correlations (0.70-0.94) between systems. The intraclass correlation coefficient supports these results, except for contact time (ICC = 0.64) and swing time (ICC = 0.34). The paired t-test showed small differences in SL, StL and StL% (≤0.25) and large in CT and SwT (1.2 and 2.2, respectively), with no differences for the rest of the variables. This study confirms the accuracy of the RunScribe™ system for assessing spatiotemporal parameters during walking, potentially reducing the barriers to continuous gait monitoring and early detection of gait issues.
使用便携式惯性测量单元(IMU)评估步态生物力学可提供实时反馈,已成为检测步态障碍的关键工具。然而,这些设备中的许多尚未得到充分验证。本研究的目的是评估RunScribe™系统在步行过程中测量时空步态参数的同时效度和相对可靠性。共有460名参与者(年龄:36±13岁;身高:173±9厘米;体重:70±13千克)被要求在跑步机上以5千米/小时的速度行走。通过RunScribe™和OptoGait™系统测量步频(SF)、步长(SL)、步时(ST)、接触时间(CT)、摆动时间(SwT)、步幅时间(StT)、步幅长度(StL)和标准化步幅长度(StL%)等时空参数。Bland-Altman分析表明所有变量存在小的系统偏差和随机误差。Pearson相关分析显示系统之间存在强相关性(0.70 - 0.94)。组内相关系数支持这些结果,但接触时间(ICC = 0.64)和摆动时间(ICC = 0.34)除外。配对t检验显示SL、StL和StL%差异小(≤0.25),CT和SwT差异大(分别为1.2和2.2),其余变量无差异。本研究证实了RunScribe™系统在评估步行过程中时空参数的准确性,可能减少连续步态监测和早期发现步态问题的障碍。