Winkler Elena V, Lauer Susanne K, Steigmeier-Raith Stephanie I, Zablotski Yury, Mille Monika A
Am J Vet Res. 2024 Aug 1;85(10):1-11. doi: 10.2460/ajvr.24.05.0128. Print 2024 Oct 1.
The goal of this study was to compare the accuracy of kinematic measurements obtained using the 2-D video-based kinematic motion analysis (KMA) software Kinovea (version 0.9.5; http://www.kinovea.org) with 3-D KMA in healthy dogs.
In this prospective study, 3-D marker-based KMA (VICON-Nexus, version 2.12.1, and Procalc, version 1.6; VICON Motion Systems Ltd) was performed on healthy dogs (body weight ≥ 20 kg; height at withers > 50 cm) walking on a treadmill (study period: November 2022). Simultaneously, dogs were video recorded by 1 smartphone (iPhone SE; Apple Inc) at a 1.50-m distance perpendicular to the shoulder (60 frames per second; 1,920 X 1,080 pixels) for KMA using Kinovea. Joint angle and joint angle velocity of the shoulder, elbow, carpus, hip, stifle, and tarsus were calculated for 6 synchronized gait cycles. Each gait cycle was divided into 10 increments. The difference between 3-D KMA and Kinovea was assessed for each parameter using robust linear mixed-effects models.
34 dogs were included. The estimated joint angle difference between 3-D KMA and Kinovea was less than 2° for all shoulder and elbow gait cycle increments. For the carpus, hip, stifle, and tarsus, the difference was less than 2° in 9, 5, 4, and 4 out of 10 gait cycle increments, respectively.
Kinovea provides accurate kinematic data for the shoulder and elbow of healthy dogs. Carpal, hip, stifle, and tarsal kinematics were less accurate.
The use of Kinovea for clinical and research purposes remains limited. Future Kinovea-based studies are needed to investigate the accuracy of carpal, hip, stifle, and tarsal kinematics.
本研究的目的是比较使用基于二维视频的运动学分析(KMA)软件Kinovea(版本0.9.5;http://www.kinovea.org)与三维KMA在健康犬中获得的运动学测量的准确性。
在这项前瞻性研究中,对在跑步机上行走的健康犬(体重≥20 kg;肩高>50 cm)进行基于三维标记的KMA(VICON-Nexus,版本2.12.1,和Procalc,版本1.6;VICON运动系统有限公司)(研究期间:2022年11月)。同时,用1部智能手机(iPhone SE;苹果公司)在与肩部垂直的1.50米距离处对犬进行视频录制(每秒60帧;1920×1080像素),以便使用Kinovea进行KMA。计算6个同步步态周期的肩部、肘部、腕关节、髋关节、膝关节和跗关节的关节角度和关节角速度。每个步态周期分为10个增量。使用稳健线性混合效应模型评估每个参数在三维KMA和Kinovea之间的差异。
纳入34只犬。在所有肩部和肘部步态周期增量中,三维KMA和Kinovea之间估计的关节角度差异小于2°。对于腕关节、髋关节、膝关节和跗关节,在10个步态周期增量中,差异分别在9个、5个、4个和4个中小于2°。
Kinovea可为健康犬的肩部和肘部提供准确的运动学数据。腕关节、髋关节、膝关节和跗关节的运动学数据准确性较低。
Kinovea在临床和研究中的应用仍然有限。未来需要基于Kinovea的研究来调查腕关节、髋关节、膝关节和跗关节运动学的准确性。