The Cheryl Spencer Institute of Nursing Research, University of Haifa, Haifa 3498838, Israel.
Sensors (Basel). 2021 Nov 11;21(22):7497. doi: 10.3390/s21227497.
Spatio-temporal parameters of human gait, currently measured using different methods, provide valuable information on health. Inertial Measurement Units (IMUs) are one such method of gait analysis, with smartphone IMUs serving as a good substitute for current gold-standard techniques. Here we investigate the concurrent validity of a smartphone placed in a front-facing pocket to perform gait analysis. Sixty community-dwelling healthy adults equipped with a smartphone and an application for gait analysis completed a 2-min walk on a marked path. Concurrent validity was assessed against an APDM mobility lab (APDM Inc.; Portland, OR, USA). Bland-Altman plots and intraclass correlation coefficients (agreement and consistency) for gait speed, cadence, and step length indicate good to excellent agreement (ICC > 0.8). For right leg stance and swing % of gait cycle and double support % of gait cycle, results were moderate (0.52 < ICC < 0.62). For left leg stance and swing % of gait cycle left results show poor agreement (ICC < 0.5). Consistency of results was good to excellent for all tested parameters (ICC > 0.8). Thus we have a valid and reliable instrument for measuring healthy adults' spatio-temporal gait parameters in a controlled walking environment.
人体步态的时空参数,目前使用不同的方法进行测量,为健康状况提供了有价值的信息。惯性测量单元(IMU)是步态分析的一种方法,智能手机 IMU 可以很好地替代当前的黄金标准技术。在这里,我们研究了智能手机放在前口袋中进行步态分析的同时效度。60 名居住在社区的健康成年人配备了智能手机和用于步态分析的应用程序,在标记的路径上完成了 2 分钟的步行。同时效度是针对 APDM 移动实验室(APDM Inc.;美国俄勒冈州波特兰)进行评估的。步态速度、步频和步长的 Bland-Altman 图和组内相关系数(一致性和一致性)表明具有良好到极好的一致性(ICC > 0.8)。对于右腿站立和摆动步态周期的百分比和双支撑步态周期的百分比,结果为中度(0.52 < ICC < 0.62)。对于左腿站立和摆动步态周期的百分比,结果显示一致性较差(ICC < 0.5)。对于所有测试参数,结果的一致性均为良好到极好(ICC > 0.8)。因此,我们有一个有效的和可靠的工具来测量健康成年人在受控行走环境中的时空步态参数。