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利用蹄部安装的惯性测量单元传感器自动检测马的腾空前期。

Automatic detection of break-over phase onset in horses using hoof-mounted inertial measurement unit sensors.

机构信息

Department Population Health Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, The Netherlands.

Department of Anatomy, Physiology and Biochemistry, Swedish University of Agricultural Sciences, Uppsala, Sweden.

出版信息

PLoS One. 2020 May 29;15(5):e0233649. doi: 10.1371/journal.pone.0233649. eCollection 2020.

Abstract

A prolonged break-over phase might be an indication of a variety of musculoskeletal disorders and can be measured with optical motion capture (OMC) systems, inertial measurement units (IMUs) and force plates. The aim of this study was to present two algorithms for automatic detection of the break-over phase onset from the acceleration and angular velocity signals measured by hoof-mounted IMUs in walk and trot on a hard surface. The performance of these algorithms was evaluated by internal validation with an OMC system and a force plate separately. Seven Warmblood horses were equipped with two wireless IMUs which were attached to the lateral wall of the right front (RF) and hind (RH) hooves. Horses were walked and trotted over a force plate for internal validation while simultaneously the 3D position of three reflective markers, attached to lateral heel, lateral toe and lateral coronet of each hoof, were measured by six infrared cameras of an OMC system. The performance of the algorithms was evaluated by linear mixed model analysis. The acceleration algorithm was the most accurate with an accuracy between -9 and 23 ms and a precision around 24 ms (against OMC system), and an accuracy between -37 and 20 ms and a precision around 29 ms (against force plate), depending on gait and hoof. This algorithm seems promising for quantification of the break-over phase onset although the applicability for clinical purposes, such as lameness detection and evaluation of trimming and shoeing techniques, should be investigated more in-depth.

摘要

突破阶段延长可能是多种肌肉骨骼疾病的一个迹象,可以通过光学运动捕捉(OMC)系统、惯性测量单元(IMU)和力板进行测量。本研究的目的是提出两种算法,用于从安装在马蹄上的 IMU 测量的步行和小跑时的加速度和角速度信号中自动检测突破阶段的起始。通过分别使用 OMC 系统和力板进行内部验证来评估这些算法的性能。七匹温血马配备了两个无线 IMU,它们分别安装在右前(RF)和后(RH)蹄的侧壁上。马在力板上行走和小跑,同时,三个反射标记的 3D 位置,分别附着在每个马蹄的外侧跟、外侧趾和外侧冠状上,由 OMC 系统的六个红外摄像机进行测量。通过线性混合模型分析评估算法的性能。加速度算法的准确性在-9 到 23 毫秒之间,精度约为 24 毫秒(与 OMC 系统相比),而准确性在-37 到 20 毫秒之间,精度约为 29 毫秒(与力板相比),这取决于步态和马蹄。尽管该算法有望用于突破阶段起始的定量分析,但在临床应用(如跛行检测和评估修剪和钉蹄技术)方面的适用性应进行更深入的研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cba0/7259550/e2baa4f1f6b2/pone.0233649.g001.jpg

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