Ecole Nationale Vétérinaire d'Alfort, USC INRAE-ENVA 957 BPLC, CWD-VetLab, 94700 Maisons-Alfort, France.
LIM France, Chemin Fontaine de Fanny, 24300 Nontron, France.
Sensors (Basel). 2022 Jan 18;22(3):703. doi: 10.3390/s22030703.
The development of on-board technologies has enabled the development of quantification systems to monitor equine locomotion parameters. Their relevance among others relies on their ability to determine specific locomotor events such as foot-on and heel-off events. The objective of this study was to compare the accuracy of different methods for an automatic gait events detection from inertial measurement units (IMUs). IMUs were positioned on the cannon bone, hooves, and withers of seven horses trotting on hard and soft straight lines and circles. Longitudinal acceleration and angular velocity around the latero-medial axis of the cannon bone, and withers dorso-ventral displacement data were identified to tag the foot-on and a heel-off events. The results were compared with a reference method based on hoof-mounted-IMU data. The developed method showed bias less than 1.79%, 1.46%, 3.45% and -1.94% of stride duration, respectively, for forelimb foot-on and heel-off, and for hindlimb foot-on and heel-off detection, compared to our reference method. The results of this study showed that the developed gait-events detection method had a similar accuracy to other methods developed for straight line analysis and extended this validation to other types of exercise (circles) and ground surface (soft surface).
车载技术的发展使得开发量化系统来监测马的运动参数成为可能。这些系统的相关性在于它们能够确定特定的运动事件,如蹄着地和蹄离地事件。本研究的目的是比较从惯性测量单元(IMU)自动检测步态事件的不同方法的准确性。IMU 被放置在马的炮骨、蹄子和肩部,在坚硬和柔软的直线和圆形上进行小跑。确定炮骨的前后向和侧向的纵向加速度和角速度,以及肩部的背腹向位移数据,以标记蹄着地和蹄离地事件。结果与基于蹄部安装的 IMU 数据的参考方法进行了比较。与我们的参考方法相比,该方法分别显示出对前肢蹄着地和蹄离地、后肢蹄着地和蹄离地检测的步幅持续时间的偏差小于 1.79%、1.46%、3.45%和-1.94%。本研究的结果表明,所开发的步态事件检测方法与其他针对直线分析开发的方法具有相似的准确性,并将这种验证扩展到其他类型的运动(圆形)和地面表面(柔软表面)。