Department of Bioengineering, University of Pittsburgh, USA.
J Biomech. 2010 May 28;43(8):1532-9. doi: 10.1016/j.jbiomech.2010.01.040. Epub 2010 Feb 18.
Falls initiated by slips and trips are a serious health hazard to older adults. Experimental studies have provided important descriptions of postural responses to slipping, but it is difficult to determine why some slips result in falls from experiments alone. Computational modeling and simulation techniques can complement experimental approaches by identifying causes of failed recovery attempts. The purpose of this study was to develop a method to determine the impact of a systematic reduction in the foot-floor friction coefficient (mu) on the kinematics of walking shortly after heel contact (approximately 200 s). A walking model that included foot-floor interactions was utilized to find the set of moments that best tracked the joint angles and measured ground reaction forces obtained from a non-slipping (dry) trial. A "passive" slip was simulated by driving the model with the joint-moments from the dry simulation and by reducing mu. Slip simulations with values of mu greater than the subject-specific peak required coefficient of friction (RCOF), an experimental measure of slip-resistant gait, resulted in only minor deviations in gait kinematics from the dry condition. In contrast, slip simulations run in environments characterized by mu<peak RCOF resulted in body kinematics that were substantially different from normal/dry gait patterns, more specifically greater knee extension and hip flexion angles were observed in the slip simulations. These findings imply the need for early and appropriate active corrective responses to prevent a fall in environments with mu values less than the peak RCOF.
滑倒和绊倒引发的摔倒对老年人来说是一个严重的健康隐患。实验研究为滑倒后的姿势反应提供了重要描述,但很难仅从实验中确定为什么有些滑倒会导致摔倒。计算建模和仿真技术可以通过确定恢复尝试失败的原因来补充实验方法。本研究的目的是开发一种方法,以确定在脚跟接触后不久(约 200 秒)系统降低脚底摩擦系数(μ)对行走运动学的影响。利用包含脚底相互作用的行走模型,找到最佳跟踪关节角度的一组力矩,并测量从不滑(干燥)试验获得的地面反作用力。通过用干燥模拟的关节力矩驱动模型并降低μ来模拟“被动”滑倒。具有大于特定于受试者的峰值所需摩擦系数(RCOF)的μ值的滑动模拟仅导致从干燥条件下的步态运动学出现较小偏差。相比之下,在μ<peak RCOF 的环境中进行的滑动模拟导致身体运动学与正常/干燥步态模式明显不同,更具体地说,在滑动模拟中观察到更大的膝关节伸展和髋关节弯曲角度。这些发现意味着需要在μ值小于峰值 RCOF 的环境中尽早采取适当的主动纠正反应,以防止摔倒。