上肢外骨骼动态双侧任务的肌肉网络分析。

Vladimiro Suglia, Cristian Camardella, Gianluca Rinaldi, Domenico Chiaradia, Domenico Buongiorno, Hui Zhou, Antonio Frisoli, Daniele Leonardis, Vitoantonio Bevilacqua
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引用次数: 0

摘要

在执行双边任务时,肌肉之间的协调可以通过重复功能肌肉网络来分析,这表明人类肌肉在运动任务期间是如何相互同步的-即共享一个振荡的公共输入。到目前为止,还没有研究辅助外骨骼对人体肌肉神经基质的影响。这项工作解决了这个问题,通过提取健康个体在执行双边动态任务期间的功能肌肉网络,没有和有肩膀外骨骼的支持。结果揭示了这些网络的全球平稳性,以及协同作用形状的轻微变化,反映了所使用的辅助设备如何从时间和频域改变生理模式。尽管样本量有限,但作者声称功能连接分析作为评估肌肉间协调的附加工具的潜力,可用于康复机器人等临床目的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Muscle Network Analysis of a Dynamic Bilateral Task with an Upper Limb Exoskeleton.

The coordination between muscles during the execution of a bilateral task can be analyzed by recurring to functional muscle networks, which indicates how human muscles are mutually synchronized - i.e., share an oscillatory common input - during the motor task. So far, no studies have studied the impact of an assistive exoskeleton on the neural substrates of human muscles. This work addresses this question by extracting functional muscle networks of healthy individuals during the execution of a bilateral dynamic task without and with the support of a shoulder exoskeleton. The outcomes have revealed a global stationarity of these networks, together with a slight change of synergies' shape, reflecting how the employed assistive device can change physiological patterns from both temporal and frequency domains. Despite the limited sample size, the authors claim the potential of functional connectivity analysis as an additional tool for the evaluation of inter-muscular coordination for such clinical purposes as rehabilitation robotics.

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