IEEE Trans Biomed Eng. 2022 Mar;69(3):1186-1193. doi: 10.1109/TBME.2021.3117516. Epub 2022 Feb 18.
Ankle joint stiffness is known to be modulated by co-contraction of the ankle muscles; however, it is unclear to what extent changes in agonist muscle activation alone affect ankle joint stiffness. This study tested the effects of varying levels of ankle muscle activation on ankle joint mechanical stiffness in standing and during the late stance phase of walking.
Dorsiflexion perturbations were applied at various levels of ankle muscle activation via a robotic platform in standing and walking conditions. In standing, muscle activation was modulated by having participants perform an EMG target matching task that required varying levels of plantarflexor activation. In walking, muscle activation was modulated by changing walking speeds through metronome-based auditory feedback. Ankle stiffness was evaluated by performing a Least-squares system identification using a parametric model consisting of stiffness, damping, and inertia. The association between ankle muscle activation and joint stiffness was evaluated using correlation analyses. Linear regression models were used to determine the extent to which muscle activation contributed to ankle stiffness. An inclusive statistical approach (both classical and Bayesian analyses) was adopted to measure the statistical significance (p-value) and Bayes Factor (BF).
Results indicate that plantarflexor activity was positively correlated with ankle stiffness in both standing and walking (p<0.001, BF>900), whereas dorsiflexor activity was negatively correlated with ankle stiffness in walking (p = 0.014, BF = 3.9) but not in standing (p = 0.725). Regression analyses indicated that ankle muscle activation predicted about 84% of the variation in ankle stiffness in standing and 45% in walking (p<0.001, BF>100).
Ankle muscle activation significantly contributes to ankle stiffness during standing and walking.
The results highlight the role of muscle activation on maintaining joint stiffness and underscore the importance of accounting for muscle activation when measuring ankle stiffness in healthy as well as patient populations.
已知踝关节刚度可通过踝关节肌肉的共同收缩来调节;然而,单独改变主动肌激活程度对踝关节刚度的影响程度尚不清楚。本研究测试了在站立和步行后期阶段改变踝关节肌肉激活程度对踝关节机械刚度的影响。
通过机器人平台在站立和行走条件下以不同水平的踝关节肌肉激活施加背屈干扰。在站立时,通过让参与者执行肌电图目标匹配任务来调节肌肉激活,该任务要求不同程度的跖屈肌激活。在行走时,通过基于节拍器的听觉反馈改变行走速度来调节肌肉激活。使用由刚度、阻尼和惯量组成的参数模型进行最小二乘系统识别来评估踝关节刚度。使用相关分析评估踝关节肌肉激活与关节刚度之间的关系。线性回归模型用于确定肌肉激活对踝关节刚度的贡献程度。采用包容性统计方法(经典和贝叶斯分析)来衡量统计显著性(p 值)和贝叶斯因子(BF)。
结果表明,在站立和行走时,跖屈肌活动与踝关节刚度呈正相关(p<0.001,BF>900),而背屈肌活动与行走时的踝关节刚度呈负相关(p=0.014,BF=3.9),但在站立时则无相关性(p=0.725)。回归分析表明,踝关节肌肉激活可预测站立时踝关节刚度的约 84%和行走时踝关节刚度的 45%(p<0.001,BF>100)。
踝关节肌肉激活在站立和行走时显著影响踝关节刚度。
结果强调了肌肉激活在维持关节刚度中的作用,并强调了在健康人群和患者人群中测量踝关节刚度时考虑肌肉激活的重要性。