Gao Xiangli, Jie Tianle, Xu Datao, Gál János, Fekete Gusztáv, Liang Minjun, Gu Yaodong
Faculty of Sports Science, Ningbo University, Ningbo 315211, China.
Faculty of Engineering, University of Pannonia, 8201 Veszprem, Hungary.
Biomimetics (Basel). 2024 Aug 13;9(8):489. doi: 10.3390/biomimetics9080489.
Previous research has primarily focused on evaluating the activity of individual muscles in dancers, often neglecting their synergistic interactions. Investigating the differences in lower limb muscle synergy during landing between dancers and healthy controls will contribute to a comprehensive understanding of their neuromuscular control patterns. This study enrolled 22 Latin dancers and 22 healthy participants, who performed a task involving landing from a 30 cm high platform. The data were collected using Vicon systems, force plates, and electromyography (EMG). The processed EMG data were subjected to non-negative matrix factorization (NNMF) for decomposition, followed by classification using K-means clustering algorithm and Pearson correlation coefficients. Three synergies were extracted for both Latin dancers and healthy participants. Synergy 1 showed increased contributions from the tibialis anterior ( < 0.001) and medial gastrocnemius ( = 0.024) in Latin dancers compared to healthy participants. Synergy 3 highlighted significantly greater contributions from the vastus lateralis in healthy participants compared to Latin dancers ( = 0.039). This study demonstrates that Latin dancers exhibit muscle synergies similar to those observed in healthy controls, revealing specific adjustments in the tibialis anterior and medial gastrocnemius muscles among dancers. This research illustrates how dancers optimize control strategies during landing tasks, offering a novel perspective for comprehensively understanding dancers' neuromuscular control patterns.
以往的研究主要集中在评估舞者个体肌肉的活动，往往忽略了它们之间的协同相互作用。研究舞者与健康对照组在着陆过程中下肢肌肉协同作用的差异，将有助于全面了解他们的神经肌肉控制模式。本研究招募了22名拉丁舞舞者和22名健康参与者，他们完成了一项从30厘米高平台着陆的任务。数据通过Vicon系统、测力板和肌电图（EMG）收集。对处理后的肌电图数据进行非负矩阵分解（NNMF）以进行分解，然后使用K均值聚类算法和皮尔逊相关系数进行分类。拉丁舞舞者和健康参与者均提取出三种协同作用。与健康参与者相比，拉丁舞舞者的协同作用1显示胫骨前肌（<0.001）和腓肠肌内侧头（=0.024）的贡献增加。协同作用3突出显示，与拉丁舞舞者相比，健康参与者的股外侧肌贡献显著更大（=0.039）。本研究表明，拉丁舞舞者表现出与健康对照组相似的肌肉协同作用，揭示了舞者中胫骨前肌和腓肠肌内侧头的特定调整。这项研究说明了舞者在着陆任务中如何优化控制策略，为全面理解舞者的神经肌肉控制模式提供了一个新的视角。
