J. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, FL, USA.
Physiol Rep. 2020 Dec;8(23):e14652. doi: 10.14814/phy2.14652.
The spatial distribution of myoelectric activity within lower limb muscles is often nonuniform and can change during different stationary tasks. Recent studies using high-density electromyography (EMG) have suggested that spatial muscle activity may also differ among muscles during locomotion, but contrasting electrode array sizes and experimental designs have limited cross-study comparisons. Here, we sought to determine if spatial EMG patterns differ among lower limb muscles and locomotion speeds. We recorded high-density EMG from the vastus medialis, tibialis anterior, biceps femoris, medial gastrocnemius, and lateral gastrocnemius muscles of 11 healthy subjects while they walked (1.2 and 1.6 m/s) and ran (2.0, 3.0, 4.0, and 5.0 m/s) on a treadmill. To overcome the detrimental effects of cable, electrode, and soft tissue movements on high-density EMG signal quality during locomotion, we applied multivariate signal cleaning methods. From these data, we computed the spatial entropy and center of gravity from the total myoelectric activity within each recording array during the stance or swing phases of the gait cycle. We found heterogeneous spatial EMG patterns evidenced by contrasting spatial entropy among lower limb muscles. As locomotion speed increased, mean entropy values decreased in four of the five recorded muscles, indicating that EMG signal amplitudes were more spatially heterogeneous, or localized, at faster speeds. The EMG center of gravity location also shifted in multiple muscles as locomotion speed increased. Contrasting myoelectric spatial distributions among muscles likely reflect differences in muscle architecture, but increasingly localized activity and spatial shifts in the center of gravity location at faster locomotion speeds could be influenced by preferential recruitment of faster motor units under greater loads.
下肢肌肉的肌电活动空间分布通常不均匀,并且在不同的静止任务中可能会发生变化。最近使用高密度肌电图(EMG)的研究表明,在运动过程中肌肉的空间活动也可能在不同的肌肉之间有所不同,但对比电极阵列的大小和实验设计限制了跨研究的比较。在这里,我们试图确定下肢肌肉和运动速度是否会导致空间肌电模式的差异。我们记录了 11 名健康受试者在跑步机上行走(1.2 和 1.6 m/s)和跑步(2.0、3.0、4.0 和 5.0 m/s)时股直肌、胫骨前肌、股二头肌、内侧腓肠肌和外侧腓肠肌的高密度 EMG。为了克服运动过程中电缆、电极和软组织运动对高密度 EMG 信号质量的不利影响,我们应用了多元信号清洁方法。从这些数据中,我们计算了在步态周期的站立或摆动阶段每个记录阵列内总肌电活动的空间熵和重心。我们发现下肢肌肉的空间肌电模式存在异质性,表现为空间熵的对比。随着运动速度的增加,在记录的五个肌肉中的四个中,平均熵值降低,这表明 EMG 信号幅度在更快的速度下更具有空间异质性或局部化。随着运动速度的增加,多个肌肉的 EMG 重心位置也发生了变化。肌肉之间的肌电空间分布差异可能反映了肌肉结构的差异,但在更快的运动速度下,活动的局部化和重心位置的空间转移可能受到更大负荷下更快运动单位优先招募的影响。