Assessment of spatiotemporal gait parameters using a deep learning algorithm-based markerless motion capture system
Assessment of spatiotemporal gait parameters using a deep learning algorithm-based markerless motion capture system
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DOI：
10.1016/j.jbiomech.2021.110414
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发表时间：
2021-04-26
影响因子：
2.4
通讯作者：
Deluzio, Kevin J.
中科院分区：
文献类型：
--
作者：
Kanko, Robert M.;Laende, Elise K.;Deluzio, Kevin J.
时空参数可以表征个体的步态模式，允许评估其健康状况并检测其步态中的临床有意义的变化。基于视频的无标记运动捕捉是一种用户友好、廉价且广泛适用的技术，可以减少在临床和更多样化的环境中测量时空步态参数的障碍。进行了两项研究，以确定是否使用无标记的运动捕捉测量的步态参数表现出并发的有效性与使用基于标记的运动捕捉和压力敏感的步态垫测量。在第一项研究中，三十名健康的年轻人以自行选择的速度进行跑步机步态，同时记录基于标记的运动捕捉和同步视频数据。对于第二项研究，25名健康的年轻人以自选速度进行地面步态，同时使用步态垫记录脚步，并同步记录视频数据。运动学脚跟着地和脚趾离地步态事件用于识别系统之间相同的步态周期。每个系统测量九个时空步态参数，并在系统之间进行直接比较。测量值进行了比较，使用Bland-Altman方法，平均差异，皮尔逊相关系数，组内相关系数。结果表明，时空步态参数的无标记测量具有良好的协议与基于标记的运动捕捉和步态垫系统，除了站立时间和双肢支撑时间相对于这两个系统和步幅宽度相对于步态垫。这些结果表明，无标记运动捕捉可以充分测量健康年轻人在跑步机和地面步态的时空步态参数。(c)2021爱思唯尔有限公司保留所有权利。
Spatiotemporal parameters can characterize the gait patterns of individuals, allowing assessment of their health status and detection of clinically meaningful changes in their gait. Video-based markerless motion capture is a user-friendly, inexpensive, and widely applicable technology that could reduce the barriers to measuring spatiotemporal gait parameters in clinical and more diverse settings. Two studies were performed to determine whether gait parameters measured using markerless motion capture demonstrate concurrent validity with those measured using marker-based motion capture and a pressure-sensitive gait mat. For the first study, thirty healthy young adults performed treadmill gait at self-selected speeds while marker-based motion capture and synchronized video data were recorded simultaneously. For the second study, twenty-five healthy young adults performed over-ground gait at self-selected speeds while footfalls were recorded using a gait mat and synchronized video data were recorded simultaneously. Kinematic heel-strike and toe-off gait events were used to identify the same gait cycles between systems. Nine spatiotemporal gait parameters were measured by each system and directly compared between systems. Measurements were compared using Bland-Altman methods, mean differences, Pearson correlation coefficients, and intraclass correlation coefficients. The results indicate that markerless measurements of spatiotemporal gait parameters have good to excellent agreement with marker-based motion capture and gait mat systems, except for stance time and double limb support time relative to both systems and stride width relative to the gait mat. These findings indicate that markerless motion capture can adequately measure spatiotemporal gait parameters of healthy young adults during treadmill and over ground gait.(c) 2021 Elsevier Ltd. All rights reserved.