A Gluteus-Specific Muscle Synergy Recruited During the First Recovery Step Following a Backward Pitch Perturbation

IF 4.8 2区 医学 Q2 ENGINEERING, BIOMEDICAL
Huijie Lin;Xiping Ren;Christoph Lutter;Haidan Liang;Fengxue Qi;Qining Yang;Maeruan Kebbach;Martin Schlegel;Sven Bruhn;Rainer Bader;Thomas Tischer
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引用次数: 0

Abstract

The central nervous system momentarily activates a set of specific muscle synergies to maintain balance when external mechanical perturbations induce walking instability, which is critically involved in preventing falls. The activation patterns and composition of the muscle synergies recruited in the perturbed leg have not been fully characterized, and even less so for the recovery step. Here, we addressed this research gap by measuring the surface electromyographic data of the relevant muscles during a backward-pitched perturbed walk, and then extracting muscle synergy-related parameters using a non-negative matrix factorization algorithm. Our findings indicated that 1) a common set of four muscle synergies was activated in normal, perturbated and first recovery steps; 2) a specific muscle synergy controlled hip movement was recruited in the first recovery step; and 3) the main temporal activation phases of several muscle synergies were prolonged in the perturbed or the first recovery step. These results emphasize the potential significance of exploring the neurological control strategies of muscle synergy in fall prevention.
在向后俯仰扰动后的第一个恢复步骤中,招募了臀部特异性肌肉协同作用。
当外部机械扰动引起行走不稳时,中枢神经系统会瞬间激活一组特定的肌肉协同作用以保持平衡,这对防止跌倒至关重要。目前尚未完全确定受扰动腿部肌肉协同作用的激活模式和组成,而恢复步骤的肌肉协同作用的激活模式和组成则更少。在此,我们通过测量后倾扰动行走过程中相关肌肉的表面肌电数据,然后使用非负矩阵因式分解算法提取肌肉协同相关参数,填补了这一研究空白。我们的研究结果表明:(1) 在正常步、扰动步和第一个恢复步中,有一组共同的四种肌肉协同作用被激活;(2) 在第一个恢复步中,一种控制髋关节运动的特定肌肉协同作用被招募;(3) 在扰动步或第一个恢复步中,几种肌肉协同作用的主要时间激活阶段被延长。这些结果强调了探索肌肉协同作用的神经控制策略在预防跌倒中的潜在意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
8.60
自引率
8.20%
发文量
479
审稿时长
6-12 weeks
期刊介绍: Rehabilitative and neural aspects of biomedical engineering, including functional electrical stimulation, acoustic dynamics, human performance measurement and analysis, nerve stimulation, electromyography, motor control and stimulation; and hardware and software applications for rehabilitation engineering and assistive devices.
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