Sojka A M, Stuberg W A, Knutson L M, Karst G M
Department of Anatomy and Cell Biology, University of Kansas Medical Center, Kansas City 66160-7400, USA.
Arch Phys Med Rehabil. 1995 Jun;76(6):558-65. doi: 10.1016/s0003-9993(95)80511-7.
The objective of this article was to determine, using selected computerized gait analysis procedures, whether variation exists in the gait patterns of children with cerebral palsy who exhibit genu recurvatum. This descriptive study compared differences in kinematic, temporal-distance, and electromyographic (EMG) variables between two groups of children with cerebral palsy who exhibited genu recurvatum and age-matched controls. The setting was a motion analysis laboratory. Six children with cerebral palsy who showed genu recurvatum and a control group of four normal children participated in this study. Main outcome measures were hip-knee angle-angle diagrams, knee phase plane plots, knee angle versus time diagrams, stride length, cadence, single-limb support, and EMG data. Through use of hip-knee angle-angle diagrams, knee phase plane plots, and knee angle versus time diagrams, distinctive kinematic patterns emerged, allowing for grouping of subjects. Kinematic measures of knee angle at foot-floor contact and knee angle at greatest extension provided further support for the groups created, as did temporal-distance measures of stride length, cadence, and single-limb support. Analysis of variance procedures for the EMG data showed selected time points in the gait cycle during which differences between the groups were observed. Because differences in kinematic, temporal-distance, and EMG variables existed in this study to warrant grouping into two categories, physical therapists and orthopedic surgeons may need to vary the treatments they introduce dependent on the nature of the child's gait pattern.
本文的目的是通过选定的计算机化步态分析程序,确定患有膝反屈的脑瘫儿童的步态模式是否存在差异。这项描述性研究比较了两组患有膝反屈的脑瘫儿童与年龄匹配的对照组在运动学、时间-距离和肌电图(EMG)变量方面的差异。研究地点是一个运动分析实验室。六名患有膝反屈的脑瘫儿童和一个由四名正常儿童组成的对照组参与了本研究。主要结局指标包括髋-膝角-角图、膝关节相平面图、膝关节角度与时间图、步长、步频、单腿支撑和肌电图数据。通过使用髋-膝角-角图、膝关节相平面图和膝关节角度与时间图,出现了独特的运动学模式,从而能够对受试者进行分组。足部触地时膝关节角度和最大伸展时膝关节角度的运动学测量结果,以及步长、步频和单腿支撑的时间-距离测量结果,都为所划分的组提供了进一步的支持。对肌电图数据进行方差分析程序,显示了在步态周期中观察到两组之间差异的选定时间点。由于本研究中运动学、时间-距离和肌电图变量存在差异,足以将其分为两类,物理治疗师和骨科医生可能需要根据儿童步态模式的性质,调整他们所采用的治疗方法。