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关于单摄像头无标记系统用于地面步态监测的可靠性
Michele Boldo1, Roberto Di Marco2, Enrico Martini1
1Department of Computer Science, University of Verona, Strada Le Grazie, 15, Verona, 37134, Italy.
Computers in biology and medicine
|February 10, 2024
概括
无标记运动分析为地面行走提供可靠的关节动力学,使可访问的步态监测和个性化康复成为可能. 临床医生可以依靠这些结果进行远程患者评估.
科学领域:
- 生物力学 生物力学
- 康复工程 康复工程 康复工程
- 运动捕捉技术的技术.
背景情况:
- 传统的基于标记器 (MB) 的步态分析是耗时的,需要专门的设备和人员.
- 无标记器 (ML) 系统为步态监测提供了一个不那么苛刻的替代方案,可能是在远程医疗等无监督环境中.
- 对ML结果测量的临床可用性持怀疑态度,限制了其采用,特别是在地面上行走.
研究的目的:
- 提供使用单摄像头ML系统的使用说明,以获得可靠的地面行走运动数据.
- 为临床医生指导从ML系统获得的动力学数据的可靠性.
- 为了验证ML系统的动力学与传统的基于标记器的系统在地面上的移动.
主要方法:
- 从ML系统获得的关节动力学与同时获得的基于标记器 (MB) 的系统进行比较.
- 在捕捉体积内的不同步数和受试者位置的动力学评估.
- 使用Bland-Altman分析来评估ML和MB动态数据之间的偏差和相关性.
主要成果:
- 五次直行试验足以获得可靠的ML动力学.
- 在捕获体积边界,动力学精度下降.
- 对于部和膝盖的角度,ML和MB系统之间有很好的相关性 (R2=0.920.96),对于脚的角度略低一些.
- 布兰德-阿尔特曼分析显示,关节间的偏差不同,在具体的比较中,膝盖 (0.1°0.8°) 和部 (0.2°7.3°) 的偏差最小.
结论:
- 单摄像头ML系统适用于评估地面行走关节动力学.
- 临床医生可以自信地使用ML估计的关节动力学来进行个性化干预和远程康复.
- 最佳使用需要捕捉至少五次步行试验,至少2米的步行路径,并丢弃边界图像.
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