Application of 2D Gait Analysis for the Assessment of Gait Disturbance in Patients with Spastic Tetraparesis

A. Eliseev, S. Kalinina, K. Yashin, A. Zolotova, I. Morozov, K. Slavin
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Abstract

The aim of the study was to explore the use of 2D gait analysis for assessing gait abnormalities in patients with spastic tetraparesis associated with spinal cord injury and other lesions of the cervical spinal cord. Materials and Methods The study included 12 patients with tetraparesis of various etiologies. Gait assessment was performed by video analysis using reflective markers (1.5 cm) and a special walking platform. The spatial coordinates of the markers were determined by capturing the reflected light with infrared LEDs located around the lenses of video cameras. Results Using 2D gait analysis, numerical indicators of gait disturbance in spastic tetraparesis were obtained. We found a prolongation of the stand phase with a shortening of the swing phase (from 81.9 [76.1; 89.2] to 85.3 [74.4; 90.2]%; p=0.97) and the period of the double step (from 0.50 [0.45; 0.96] to 0.40 [0.34; 0.66]; p=0.4) in comparison with the target (normal) values (60% — for the stand phase; 1.41 — for the double-step period). The movements in the hip, knee, and ankle joints are described using numerical values. We then compared the data obtained from the left and right sides of the patient’s body: there were no statistically significant differences between the two sets of data. We also compared the gait characteristics before and after treatment (in 4 patients). Statistically significant differences in values were obtained for the stand and swing phases (p=0.035), the range of motion in the hip joint (p=0.01), and gait velocity (p=0.046). Kendall’s analysis revealed no significant correlation between the data obtained by video gait analysis and the gait changes by the Modified Ashworth Scale (р>0.05). Conclusion 2D gait analysis is a promising method for quantifying gait disturbance in patients with spastic tetraparesis. It allows one to identify characteristic gait patterns, in particular, an increase in the stand phase with a shortening of the swing phase and the double step period, as well as a decrease in the range of motion in the hip joints with an increase in the knee and ankle ones.
应用二维步态分析评估痉挛性四肢瘫患者的步态障碍
本研究的目的是探索使用二维步态分析来评估脊髓损伤和其他颈脊髓病变相关的痉挛性四肢瘫痪患者的步态异常。材料与方法对12例不同病因的下肢全瘫患者进行研究。步态评估通过视频分析使用反射标记(1.5 cm)和一个特殊的步行平台。通过摄像机镜头周围的红外led捕捉反射光来确定标记物的空间坐标。结果通过二维步态分析,获得痉挛性四全瘫步态障碍的数值指标。我们发现林分期延长,摇摆期缩短(从81.9 [76.1];89.2]至85.3 [74.4;90.2) %;P =0.97)和双步周期(从0.50 [0.45;0.96 ~ 0.40 [0.34;0.66);P =0.4)与目标(正常)值(60% -站立期;1.41 -双步周期)。髋关节、膝关节和踝关节的运动用数值来描述。然后我们比较了从患者身体的左右两侧获得的数据:两组数据之间没有统计学上的显着差异。我们还比较了治疗前后(4例患者)的步态特征。站立和摇摆阶段(p=0.035)、髋关节活动范围(p=0.01)和步态速度(p=0.046)的数值差异有统计学意义。Kendall分析显示,视频步态分析数据与修正Ashworth量表的步态变化无显著相关性(0.05)。结论二维步态分析是一种很有前景的量化痉挛性四肢全瘫患者步态障碍的方法。它使人们能够识别出典型的步态模式,特别是站立阶段的增加与摆动阶段和双步周期的缩短,以及髋关节运动范围的减少与膝关节和踝关节的增加。
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