TY - JOUR A2 - McGowan, Craig P. AU - Taborri, Juri AU - Palermo, Eduardo AU - Del Prete, Zaccaria AU - Rossi，SP - 5852307 VL - 2018 AB -肌肉协同理论是一个新的吸引不同研究领域的方法。本研究旨在评估肌肉协同重建肌电图的稳健性和肌肉协同参数作为潜在神经生理指标的可重复性。8名健康的受试者进行了行走、踏步、跑步和上下楼梯的试验，分3个阶段重复5次。对优势腿的12块肌肉进行了分析。“非负矩阵分解”和“变异性解释”分别用于提取肌肉协同和评估肌电重构良性。用类内相关性来量化方法的可靠性。余弦相似度和决定系数分别评估肌肉协同向量和时间活动模式的重复性。选择4协同模型进行肌电信号分解。类内相关性对于整体重建是极好的，而对于单个肌肉，则从一般到极好的范围。 The EMG reconstruction was found repeatable across sessions and subjects. Considering the selection of neurophysiological indices, the number of synergies was not repeatable neither within nor between subjects. Conversely, the cosine similarity and coefficient of determination values allow considering the muscle synergy vectors and the temporal activity patterns as potential neurophysiological indices due to their similarity both within and between subjects. More specifically, some synergies in the 4-synergy model reveal themselves as more repeatable than others, suggesting focusing on them when seeking at the neurophysiological index identification. SN - 1176-2322 UR - https://doi.org/10.1155/2018/5852307 DO - 10.1155/2018/5852307 JF - Applied Bionics and Biomechanics PB - Hindawi KW - ER -