走-跑和跑-走转换过程中的肌肉协同作用。

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
ACS Applied Bio Materials Pub Date : 2024-10-22 eCollection Date: 2024-01-01 DOI:10.7717/peerj.18162
Leonardo Lagos-Hausheer, Samuel Vergara, Victor Munoz-Martel, Germán Pequera, Renata L Bona, Carlo M Biancardi
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引用次数: 0

摘要

背景:肌肉协同可代表中枢神经系统(CNS)用于简化运动产生的肌肉激活模式。对步行-跑步转换的研究描述了多达九个协同模块,与跑步或步行相比,踝关节屈伸肌群的激活更早。我们的项目旨在研究走-跑(WRT)和跑-走(RWT)转换中不同站姿和摆动变化的肌肉协同行为:二十四名训练有素的男子参加了这项研究。在跑步机上制定了一个变速方案,以记录行走、跑步和相对转换过程中 14 块肌肉的活动。该方案基于±10%和20%的WRT速度的五个50秒的斜坡。根据占空比的突然变化来确定 WRT 和 RWT。通过使用非负矩阵因式分解(NMF)对表面肌电图进行分析,我们获得了协同模块和时间激活曲线。统计检验的α阈值设定为 0.05:我们描述了四种不同的过渡步,其中两种用于增速过渡,两种用于降速过渡。每种情况下都有四到六个协同模块。根据最大余弦相似度结果,两个已确定的 WRT 条件共享五个模块,而两个 RWT 条件共享四个模块。WRT 和 RWT 总体共享 4.33 ± 0.58 个模块。不同条件下的激活曲线和激活中心存在差异:讨论:过渡发生在步级上,过渡步由类似走的步和类似跑的步组成。与之前对跑步和步行的研究相比,这两种过渡都需要更早地激活相当数量的协同模块。协同作用受到加速度的影响:在 RWT 期间,需要通过增加协同激活肌肉的数量来耗散能量,从而降低速度。这反映在与 WRT 相比,协同模块更少,激活曲线也不同。我们相信,我们的研究结果可以应用于不同的领域,如临床步态分析、物理治疗和康复,其中包括共同激活特定肌肉群的计划可能会有所帮助。步态转换在不同的运动中都很常见,因此也可以应用于训练和运动科学中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Muscle synergies during the walk-run and run-walk transitions.

Background: Muscular synergies could represent the patterns of muscular activation used by the central nervous system (CNS) to simplify the production of movement. Studies in walking-running transitions described up to nine synergy modules, and an earlier activation of flexor and extension ankle muscular groups compared to running or walking. Our project aims to study the behaviour of muscle synergies in different stance and swing variations of walking-running (WRT) and running-walking (RWT) transitions.

Methods: Twenty-four trained men participated in this study. A variable speed protocol on a treadmill was developed to record the activity of 14 muscle during walking, running and relative transitions. The protocol was based on five ramps of 50 seconds each around ± 10 and 20% of the WRT speed. WRT and RWT were identified according to an abrupt change of the duty factor. Analysing surface electromyography using non-negative matrix factorization (NMF) we obtained synergy modules and temporal activation profiles. Alpha threshold for statistical tests set at 0.05.

Results: We described four different transition strides, two for increasing speed transitions, and two for decreasing speed transitions. Four to six synergy modules were found in each condition. According to the maximum cosine similarity results, the two identified WRT conditions shared five modules, while the two RWT conditions shared four modules. WRT and RWT overall shared 4.33 ± 0.58 modules. The activation profiles and centres of activation revealed differences among conditions.

Discussion: Transition occurred at step level, and transition strides were composed by walk-like and run-like steps. Compared with previous studies in running and walking, both transitions needed earlier activation of a comparable number of synergy modules. Synergies were affected by acceleration: during RWT the need to dissipate energy, to decrease the speed, was achieved by increasing the number of co-activating muscles. This was reflected in fewer synergy modules and different activation profiles compared to WRT. We believe that our results could be enforced in different applied fields, like clinical gait analysis, physiotherapy and rehabilitation, where plans including co-activation of specific muscular groups could be useful. Gait transitions are common in different sports, and therefore also application in training and sport science would be possible.

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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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