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肌电图(EMG)信息神经肌肉模型评估了在地面行走过程中不同的体重支持对肌肉的影响。

EMG-informed neuromuscular model assesses the effects of varied bodyweight support on muscles during overground walking.

机构信息

Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.

Department of Biomechanical Engineering, University of Twente, Enschede, the Netherlands.

出版信息

J Biomech. 2023 Apr;151:111532. doi: 10.1016/j.jbiomech.2023.111532. Epub 2023 Mar 6.

Abstract

Bodyweight supported walking is a common gait rehabilitation method that can be used as an experimental approach to better understand walking biomechanics. Neuromuscular modeling can provide an analytical means to gain insight into how muscles coordinate to produce walking and other movements. To better understand how muscle length and velocity affect muscle force during overground walking with bodyweight support, we used an electromyography (EMG)-informed neuromuscular model to investigate changes in muscle parameters (muscle force, activation and fiber length) at varying bodyweight support levels: 0%, 24%, 45% and 69% bodyweight. Coupled constant force springs provided a vertical support force while we collected biomechanical data (EMG, motion capture and ground reaction forces) from healthy, neurologically intact participants walking at 1.20 ± 0.06 m/s. The lateral and medial gastrocnemius demonstrated a significant decrease in muscle force (lateral: p = 0.002 and medial: p < 0.001) and activation (lateral: p = 0.007 and medial: p < 0.001) through push-off at higher levels of support. The soleus, in contrast, had no significant change in muscle activation through push-off (p = 0.652) regardless of bodyweight support level even though soleus muscle force decreased with increasing support (p < 0.001). During push-off, the soleus had shorter muscle fiber lengths and faster shortening velocities as bodyweight support levels increased. These results provide insight into how muscle force can be decoupled from effective bodyweight during bodyweight supported walking due to changes in muscle fiber dynamics. The findings contribute evidence that clinicians and biomechanists should not expect a reduction in muscle activation and force when using bodyweight support to assist gait during rehabilitation.

摘要

体重支撑步行是一种常见的步态康复方法,可作为一种实验方法,以更好地了解步行生物力学。神经肌肉建模可以提供一种分析手段,深入了解肌肉如何协调产生行走和其他运动。为了更好地了解在体重支撑下进行地面行走时肌肉长度和速度如何影响肌肉力量,我们使用肌电图(EMG)指导的神经肌肉模型来研究在不同体重支撑水平下(0%、24%、45%和 69%体重)肌肉参数(肌肉力量、激活和纤维长度)的变化:0%、24%、45%和 69%体重。耦合恒力弹簧提供垂直支撑力,同时我们从健康、神经完整的参与者那里收集生物力学数据(肌电图、运动捕捉和地面反作用力),他们以 1.20±0.06m/s 的速度行走。在更高的支撑水平下,通过蹬离,外侧和内侧比目鱼肌的肌肉力量(外侧:p=0.002,内侧:p<0.001)和激活(外侧:p=0.007,内侧:p<0.001)显著下降。相比之下,尽管比目鱼肌的肌肉力量随着支撑力的增加而下降(p<0.001),但在蹬离过程中,比目鱼肌的肌肉激活没有明显变化(p=0.652),无论体重支撑水平如何。在蹬离过程中,随着体重支撑水平的增加,比目鱼肌的肌纤维长度变短,缩短速度变快。这些结果提供了有关肌肉力量如何由于肌纤维动力学的变化而与体重支撑下的有效体重解耦的见解。这些发现为临床医生和生物力学专家提供了证据,即他们在使用体重支撑来辅助康复期间行走时,不应期望肌肉激活和力量会降低。

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