Yen Jasper T, Chang Young-Hui
Biomedical Engineering Program, Emory University/Georgia Institute of Technology, Atlanta, GA 30332 USA.
Annu Int Conf IEEE Eng Med Biol Soc. 2009;2009:2115-8. doi: 10.1109/IEMBS.2009.5334304.
Normal human locomotion requires the ability to control a complex, redundant neuromechanical system to repetitively cycle the legs in a stable manner. In a reduced paradigm of locomotion, hopping, we investigated the ability of human subjects to exploit motor redundancy in the legs to coordinate joint torques fluctuations to minimize force fluctuations generated against the ground. Although we saw invariant performance in terms of force stabilization across frequencies, we found that the role of joint torque coordination in stabilizing force was most important at slow hopping frequencies. Notably, the role of this coordinated variation strategy decreased as hopping frequency increased, giving way to an independent joint variation strategy. At high frequencies, the control strategy to stabilize force was more dependent on a direct reduction in ankle torque fluctuations. Through the systematic study of how joint-level variances affect task-level end-point function, we can gain insight into the underlying control strategies in place for automatically counteracting cycle-to-cycle deviations during normal human locomotion.
正常的人类运动需要具备控制一个复杂、冗余的神经机械系统的能力,以便以稳定的方式使腿部反复循环运动。在一种简化的运动模式——单脚跳中,我们研究了人类受试者利用腿部运动冗余来协调关节扭矩波动,从而将与地面接触时产生的力波动降至最低的能力。尽管我们发现,在不同频率下,力的稳定性能保持不变,但我们发现,关节扭矩协调在稳定力方面的作用在单脚跳频率较低时最为重要。值得注意的是,随着单脚跳频率的增加,这种协调变化策略的作用逐渐减弱,被独立关节变化策略所取代。在高频时,稳定力的控制策略更多地依赖于直接减少踝关节扭矩波动。通过系统研究关节水平的变化如何影响任务水平的端点功能,我们可以深入了解在正常人类运动过程中自动抵消周期间偏差的潜在控制策略。