Neptune Richard R, Clark David J, Kautz Steven A
Department of Mechanical Engineering, University of Texas at Austin, 1 University Station C2200, Austin, TX 78712, USA.
J Biomech. 2009 Jun 19;42(9):1282-7. doi: 10.1016/j.jbiomech.2009.03.009. Epub 2009 Apr 25.
Recent evidence suggests that performance of complex locomotor tasks such as walking may be accomplished using a simple underlying organization of co-active muscles, or "modules", which have been assumed to be structured to perform task-specific biomechanical functions. However, no study has explicitly tested whether the modules would actually produce the biomechanical functions associated with them or even produce a well-coordinated movement. In this study, we generated muscle-actuated forward dynamics simulations of normal walking using muscle activation modules (identified using non-negative matrix factorization) as the muscle control inputs to identify the contributions of each module to the biomechanical sub-tasks of walking (i.e., body support, forward propulsion, and leg swing). The simulation analysis showed that a simple neural control strategy involving five muscle activation modules was sufficient to perform the basic sub-tasks of walking. Module 1 (gluteus medius, vasti, and rectus femoris) primarily contributed to body support in early stance while Module 2 (soleus and gastrocnemius) contributed to both body support and propulsion in late stance. Module 3 (rectus femoris and tibialis anterior) acted to decelerate the leg in early and late swing while generating energy to the trunk throughout swing. Module 4 (hamstrings) acted to absorb leg energy (i.e., decelerate it) in late swing while increasing the leg energy in early stance. Post-hoc analysis revealed an additional module (Module 5: iliopsoas) acted to accelerate the leg forward in pre- and early swing. These results provide evidence that the identified modules can act as basic neural control elements that generate task-specific biomechanical functions to produce well-coordinated walking.
最近的证据表明,诸如行走等复杂的运动任务可能是通过协同激活的肌肉的简单潜在组织,即“模块”来完成的,这些模块被认为是为执行特定任务的生物力学功能而构建的。然而,尚无研究明确测试这些模块是否真的会产生与其相关的生物力学功能,甚至是否能产生协调良好的运动。在本研究中,我们使用肌肉激活模块(通过非负矩阵分解识别)作为肌肉控制输入,生成了正常行走的肌肉驱动前向动力学模拟,以确定每个模块对行走生物力学子任务(即身体支撑、向前推进和腿部摆动)的贡献。模拟分析表明,一种涉及五个肌肉激活模块的简单神经控制策略足以执行行走的基本子任务。模块1(臀中肌、股四头肌和股直肌)主要在站立初期对身体支撑起作用,而模块2(比目鱼肌和腓肠肌)在站立后期对身体支撑和推进都有贡献。模块3(股直肌和胫骨前肌)在摆动早期和晚期起到使腿部减速的作用,同时在整个摆动过程中为躯干产生能量。模块4(腘绳肌)在摆动后期起到吸收腿部能量(即使其减速)的作用,同时在站立初期增加腿部能量。事后分析揭示了另一个模块(模块5:髂腰肌)在摆动前和摆动初期起到使腿部向前加速的作用。这些结果提供了证据,表明所识别的模块可以作为基本的神经控制元件,产生特定任务的生物力学功能,以产生协调良好的行走。