Surer Elif, Cereatti Andrea, Evangelisti Maria Antonietta, Paolini Gabriele, Della Croce Ugo, Manunta Maria Lucia
Department of Modeling and Simulation, Graduate School of Informatics, Middle East Technical University, 06800 Ankara, Turkey.
Department of Biomedical Sciences, University of Sassari, 07100 Sassari, Italy.
Vet Sci. 2020 Feb 19;7(1):26. doi: 10.3390/vetsci7010026.
Objective-To design and test a motion analysis protocol for the gait analysis of adult German Shepherd (GS) dogs with a focus in the analyses of their back movements. Animals-Eight clinically healthy adult large-sized GS dogs (age, 4 ± 1.3 years; weight, 38.8 ± 4.2 kg). Procedures-A six-camera stereo-photogrammetric system and two force platforms were used for data acquisition. Experimental acquisition sessions consisted of static and gait trials. During gait trials, each dog walked along a 6 m long walkway at self-selected speed and a total of six gait cycles were recorded. Results-Grand mean and standard deviation of ground reaction forces of fore and hind limbs are reported. Spatial-temporal parameters averaged over gait cycles and subjects, their mean, standard deviation and coefficient of variance are analyzed. Joint kinematics for the hip, stifle and tarsal joints and their average range of motion (ROM) values, and their 95% Confidence Interval (CI) values of kinematics curves are reported. Conclusions and Clinical Relevance-This study provides normative data of healthy GS dogs to form a preliminary basis in the analysis of the spatial-temporal parameters, kinematics and kinetics during quadrupedal stance posture and gait. Also, a new back movement protocol enabling a multi-segment back model is provided. Results show that the proposed gait analysis protocol may become a useful and objective tool for the evaluation of canine treatment with special focus on the back movement.
目的——设计并测试一种用于成年德国牧羊犬(GS)步态分析的运动分析方案,重点在于分析其背部运动。动物——8只临床健康的成年大型GS犬(年龄,4±1.3岁;体重,38.8±4.2千克)。程序——使用一个六相机立体摄影测量系统和两个测力平台进行数据采集。实验采集环节包括静态和步态试验。在步态试验中,每只犬以自行选择的速度沿一条6米长的通道行走,共记录六个步态周期。结果——报告了前肢和后肢地面反作用力的总体均值和标准差。分析了步态周期和受试对象的时空参数平均值、它们的均值、标准差和变异系数。报告了髋、 stifle和跗关节的关节运动学及其平均运动范围(ROM)值,以及运动学曲线的95%置信区间(CI)值。结论和临床意义——本研究提供了健康GS犬的标准数据,为分析四足站立姿势和步态期间的时空参数、运动学和动力学奠定初步基础。此外,还提供了一种新的背部运动方案,可实现多节段背部模型。结果表明,所提出的步态分析方案可能成为评估犬类治疗(特别关注背部运动)的一种有用且客观的工具。