Straub Rachel K, Horgan Alex, Powers Christopher M
University of Southern California, Division of Biokinesiology & Physical Therapy, Los Angeles, CA, United States.
Trinity College, Discipline of Physiotherapy, School of Medicine, Dublin, Ireland.
Gait Posture. 2021 Oct;90:483-488. doi: 10.1016/j.gaitpost.2021.09.175. Epub 2021 Sep 20.
Given that elevated vertical ground reaction forces (vGRF) have been reported to contribute to various lower-extremity injuries, there is a need for a practical method to characterize movement behavior that is representative of elevated impact forces.
Can images obtained from 2D video be used to predict vGRF parameters during athletic tasks? Specifically, we sought to determine whether the 2D thigh angle obtained at peak knee flexion could be used to predict the peak vGRF and vGRF impulse during single limb and double limb landings and movements that involve a change of direction.
2D sagittal plane video and vGRFs were obtained simultaneously from 39 participants (15 males and 24 females) during 5 athletic tasks (drop jump, lateral shuffle, deceleration, triple hop, side-step-cut). Linear regression analysis was performed to determine if the 2D thigh angle at peak knee flexion predicted the first peak of the vGRF and vGRF impulse during the deceleration phase of each task.
The 2D thigh angle predicted the peak vGRF for all tasks except cutting (R = 0.17 to 0.47, all p < 0.01). However, the 2D thigh angle predicted the vGRF impulse for all 5 tasks (R = 0.13 to 0.39, all p < 0.025).
An increased 2D thigh angle (which is representative of increased hip and knee flexion) was able to predict lower peak vGRFs and vGRF impulse during athletic tasks. The 2D thigh angle is a potential clinical method to characterize movement behavior that may expose individuals to high impact forces.
鉴于已有报道称垂直地面反作用力(vGRF)升高会导致各种下肢损伤,因此需要一种实用的方法来表征代表冲击力升高的运动行为。
从二维视频中获取的图像能否用于预测运动任务期间的vGRF参数?具体而言,我们试图确定在单腿和双腿着陆以及涉及方向变化的运动过程中,在膝关节屈曲峰值处获得的二维大腿角度是否可用于预测vGRF峰值和vGRF冲量。
在5项运动任务(纵跳、侧向移动、减速、三级跳、侧步切入)期间,同时从39名参与者(15名男性和24名女性)获取二维矢状面视频和vGRF。进行线性回归分析,以确定膝关节屈曲峰值处的二维大腿角度是否能预测每项任务减速阶段的vGRF第一个峰值和vGRF冲量。
除切入任务外,二维大腿角度可预测所有任务的vGRF峰值(R = 0.17至0.47,所有p < 0.01)。然而,二维大腿角度可预测所有5项任务的vGRF冲量(R = 0.13至0.39,所有p < 0.025)。
二维大腿角度增加(代表髋部和膝部屈曲增加)能够预测运动任务期间较低的vGRF峰值和vGRF冲量。二维大腿角度是一种潜在的临床方法,可用于表征可能使个体暴露于高冲击力的运动行为。