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比较惯性测量单元与无标记视频分析在夸特马运动对称性中的应用。

Comparing Inertial Measurement Units to Markerless Video Analysis for Movement Symmetry in Quarter Horses.

机构信息

Faculty of Kinesiology, University of Calgary, Calgary, AB T2N 1N4, Canada.

Faculty of Veterinary Medicine, University of Calgary, Calgary, AB T2N 1N4, Canada.

出版信息

Sensors (Basel). 2023 Oct 12;23(20):8414. doi: 10.3390/s23208414.

Abstract

BACKGROUND

With an increasing number of systems for quantifying lameness-related movement asymmetry, between-system comparisons under non-laboratory conditions are important for multi-centre or referral-level studies. This study compares an artificial intelligence video app to a validated inertial measurement unit (IMU) gait analysis system in a specific group of horses.

METHODS

Twenty-two reining Quarter horses were equipped with nine body-mounted IMUs while being videoed with a smartphone app. Both systems quantified head and pelvic movement symmetry during in-hand trot (hard/soft ground) and on the lunge (left/right rein, soft ground). Proportional limits of agreement (pLoA) were established.

RESULTS

Widths of pLoA were larger for head movement (29% to 50% in-hand; 22% to 38% on lunge) than for pelvic movement (13% to 24% in-hand; 14% to 24% on lunge).

CONCLUSION

The between-system pLoAs exceed current "lameness thresholds" aimed at identifying the affected limb(s) in lame horses. They also exceed published limits of agreement for stride-matched data but are similar to repeatability values and "lameness thresholds" from "non-lame" horses. This is encouraging for multi-centre studies and referral-level veterinary practice. The narrower pLoA values for pelvic movement asymmetry are particularly encouraging, given the difficulty of grading hind limb lameness "by eye".

摘要

背景

随着越来越多的跛行相关运动不对称量化系统的出现,在非实验室条件下进行系统间比较对于多中心或转诊水平的研究非常重要。本研究比较了人工智能视频应用程序与经过验证的惯性测量单元 (IMU) 步态分析系统在特定马群中的应用。

方法

22 匹盛装舞步的夸特马佩戴了九个身体安装的 IMU,同时使用智能手机应用程序进行视频拍摄。两个系统在手上小跑(硬/软地面)和在慢步(左右缰绳,软地面)时量化马头和骨盆运动的对称性。建立比例一致性界限(pLoA)。

结果

头动的 pLoA 宽度大于骨盆运动(手上为 29% 到 50%;慢步为 22% 到 38%)。

结论

系统间的 pLoA 超过了当前旨在识别跛行马受影响肢体的“跛行阈值”。它们也超过了发表的跨步匹配数据的一致性界限,但与“不跛行”马的重复性值和“跛行阈值”相似。这对于多中心研究和转诊水平的兽医实践是令人鼓舞的。骨盆运动不对称的 pLoA 值较窄,这对于通过“肉眼”评估后肢跛行非常有帮助。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/82f3/10610735/1107d40da36e/sensors-23-08414-g001a.jpg

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