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基于惯性传感器的系统用于检测诱导性跛行的小跑犬的跛行情况。

Inertial sensor-based system for lameness detection in trotting dogs with induced lameness.

作者信息

Rhodin M, Bergh A, Gustås P, Gómez Álvarez C B

机构信息

Department of Clinical Sciences, Swedish University of Agricultural Sciences, SE-750 07 Uppsala, Sweden.

Department of Clinical Sciences, Swedish University of Agricultural Sciences, SE-750 07 Uppsala, Sweden.

出版信息

Vet J. 2017 Apr;222:54-59. doi: 10.1016/j.tvjl.2017.02.004. Epub 2017 Feb 10.

Abstract

Lameness detection can be challenging in dogs, as reflected in the reported low inter-rater agreement when visually assessing lameness. The aim of this study was to use an inertial sensor-based system to detect and quantify induced distal and proximal limb disturbances mimicking supporting and swinging limb lameness in dogs trotting on a treadmill by measuring vertical head and pelvic movement symmetry. Ten clinically sound dogs were equipped with inertial measurement units that were attached to the head, pelvis and right distal forelimb. Vertical head and pelvic movement symmetry were measured while dogs trotted on a treadmill, before and after the induction of moderate support or swinging fore- and hindlimb lameness. Four symmetry variables were calculated: the differences in displacement between the two lowest and between the two highest values of the head and pelvis per stride, respectively. These variables were defined as minimum head difference (HDmin), maximum head difference (HDmax), minimum pelvic difference (PDmin) and maximum pelvic difference (PDmax). Induction of supporting forelimb and hindlimb lameness produced significant changes in HDmin and PDmin, respectively. Swinging forelimb and hindlimb lameness produced significant changes in HDmax and PDmax, respectively. Additional compensatory ipsilateral forelimb and contralateral hindlimb movements were detected. Based on our findings, inertial sensor-based systems can be used to detect and quantify induced moderate lameness and differentiate between supporting and swinging limb lameness in dogs trotting on a treadmill. Further studies are needed to evaluate this method in dogs presented for clinical lameness evaluation and in overground locomotion.

摘要

在犬类中,跛行检测可能具有挑战性,这在视觉评估跛行时报告的评分者间一致性较低中得到体现。本研究的目的是使用基于惯性传感器的系统,通过测量头部和骨盆垂直运动的对称性,来检测和量化在跑步机上小跑的犬类中模拟支撑肢和摆动肢跛行的诱导性远端和近端肢体干扰。十只临床健康的犬只配备了附着在头部、骨盆和右前肢远端的惯性测量单元。在犬只在跑步机上小跑时,以及在诱导中度支撑或摆动的前肢和后肢跛行之前和之后,测量头部和骨盆垂直运动的对称性。计算了四个对称变量:每一步中头部和骨盆的两个最低值之间以及两个最高值之间的位移差异。这些变量分别定义为最小头部差异(HDmin)、最大头部差异(HDmax)、最小骨盆差异(PDmin)和最大骨盆差异(PDmax)。诱导支撑性前肢和后肢跛行分别导致HDmin和PDmin发生显著变化。摆动性前肢和后肢跛行分别导致HDmax和PDmax发生显著变化。还检测到了额外的同侧前肢和对侧后肢的代偿性运动。基于我们的研究结果,基于惯性传感器的系统可用于检测和量化诱导的中度跛行,并区分在跑步机上小跑的犬类中支撑肢和摆动肢跛行。需要进一步的研究来评估这种方法在接受临床跛行评估的犬类以及在地面运动中的应用。

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