Yaw Postural Perturbation Through Robotic Platform: Aging Effects on Muscle Synergies

Juri Taborri, Ilaria Mileti, Z. Prete, S. Rossi, E. Palermo
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引用次数: 12

Abstract

Aging causes a worsening in muscle system, which could cause balance impairments, increasing the risk of falls. The study aims at evaluating the effects of aging on muscle activation in response to a yaw rotation imposed by the RotoBiT1D. Eight younger and eight older adults were enrolled in the study. A right sigmoidal rotation of 55° around the yaw axis was imposed to the subject by means of the RotoBiT1D platform in two velocity conditions, characterized by an angular velocity peak equal to 80¼/s and 100 °/s, respectively. The activations of 16 bilateral muscles of upper body were recorded through wireless surface electromyography. A Non-Negative Matrix Factorization was performed to extract the muscle synergies. The number of muscle synergies was selected by using the Variability Account For. The cosine of similarity was computed for the quantification of intra-group and inter-group similarity related to the muscle synergy vectors. The number of muscle synergies ranged from 4 to 6 in younger and from 3 to 6 in older, even though no statistical difference was found between groups or velocity conditions. As regards intra-group similarity, younger adults showed values always above the similarity threshold; while a lower similarity was observed in older adults, confirming the heterogeneity of postural response. The overall structure of muscle synergy vectors was not similar between groups and the inter-group similarity decreased with the increase of the velocity. The differences were greater in synergies involving head and upper limb muscles. Findings unveiled a different muscle synergy organization in terms of muscle synergy vectors. Such a different organization calls for a deeper investigation towards the aim of identifying causes of fall in elderly.
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通过机器人平台的偏航姿态扰动:衰老对肌肉协同作用的影响
衰老会导致肌肉系统恶化,从而导致平衡能力受损,增加跌倒的风险。该研究旨在评估衰老对肌肉激活的影响,以响应RotoBiT1D施加的偏航旋转。8名年轻人和8名老年人参加了这项研究。通过RotoBiT1D平台,在角速度峰值分别为80¼/s和100°/s的两种速度条件下,对受试者施加55°左右横摆轴的右s型旋转。通过无线表面肌电图记录上半身16块双侧肌肉的激活情况。采用非负矩阵分解法提取肌肉协同效应。利用变异因子选择肌肉协同作用的数量。计算相似余弦值用于量化与肌肉协同向量相关的组内和组间相似性。肌肉协同作用的数量在年轻人中从4到6个不等,在老年人中从3到6个不等,尽管各组之间或速度条件之间没有统计学差异。在组内相似性方面,年轻人的相似性值始终高于阈值;而在老年人中观察到的相似性较低,证实了姿势反应的异质性。各组间肌肉协同矢量的整体结构不相似,组间相似性随速度的增加而降低。在涉及头部和上肢肌肉的协同作用方面,差异更大。研究结果揭示了肌肉协同矢量方面不同的肌肉协同组织。这样一个不同的组织呼吁进行更深入的调查,以确定老年人跌倒的原因。
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