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基于无线传感器系统定量评估马匹步态不对称性的操作者间可重复性初步研究。

A Pilot Study on the Inter-Operator Reproducibility of a Wireless Sensors-Based System for Quantifying Gait Asymmetries in Horses.

机构信息

Ecole Nationale Vétérinaire d'Alfort, USC INRAE-ENVA 957 BPLC, CIRALE, 94700 Maisons-Alfort, France.

LIM France, Labcom LIM-ENVA, 24300 Nontron, France.

出版信息

Sensors (Basel). 2022 Dec 6;22(23):9533. doi: 10.3390/s22239533.

Abstract

Repeatability and reproducibility of any measuring system must be evaluated to assess possible limitations for its use. The objective of this study was to establish the repeatability and the inter-operator reproducibility of a sensors-based system (EQUISYM) for quantifying gait asymmetries in horses.. Seven wireless IMUs were placed on the head, the withers, the pelvis, and the 4 cannon bones on three horses, by four different operators, four times on each horse, which led to a total of 48 repetitions randomly assigned. Data were collected along three consecutive days and analysed to calculate total variance, standard deviation and the variance attributable to the operator on multiple asymmetry variables. Maximal percentage of variance due to the operator (calculated out of the total variance) was 5.3% and was related to the sensor placed on the head. The results suggest a good reproducibility of IMU-based gait analysis systems for different operators repositioning the system and repeating the same measurements at a succession of time intervals. Future studies will be useful to confirm that inter-operator reproducibility remains valid in larger groups and on horses with different degrees of locomotor asymmetry.

摘要

为了评估测量系统的使用限制,必须对其重复性和再现性进行评估。本研究的目的是建立基于传感器的系统(EQUISYM)定量评估马步态不对称性的重复性和操作者间再现性。将七个无线 IMU 由四个不同的操作者分别放置在三匹马的头部、肩隆、骨盆和 4 个腕骨上,每个马重复四次,总共进行了 48 次随机分配的重复。数据在连续三天收集,并对多个不对称变量进行分析,以计算总方差、标准差和操作者方差。由于操作者引起的最大方差百分比(总方差的计算)为 5.3%,且与放置在头部的传感器有关。结果表明,对于不同的操作者重新定位系统并在连续的时间间隔内重复相同的测量,基于 IMU 的步态分析系统具有良好的再现性。未来的研究将有助于证实操作者间再现性在更大的群体中和具有不同运动不对称程度的马中仍然有效。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7a3e/9740227/b68353660002/sensors-22-09533-g001.jpg

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