PHASIC BEHAVIOR OF EMG SIGNALS DURING GAIT - USE OF MULTIVARIATE-STATISTICS

PHASIC BEHAVIOR OF EMG SIGNALS DURING GAIT - USE OF MULTIVARIATE-STATISTICS
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DOI:
10.1016/1050-6411(93)90023-p
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发表时间:
1993-03-01
影响因子:
2.5
通讯作者:
VAUGHAN, CL
VAUGHAN, CL
中科院分区:
医学3区
文献类型:
--
作者:
DAVIS, BL;VAUGHAN, CL

文献摘要

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本研究试图确定是否有一些潜在的趋势,在一些组合,可以解释所有的变化,在线性包络的16个EMG信号的选定的腿部肌肉。进行了两种分析:(a)对应于下肢16块肌肉的EMG数据的因子分析和(B)“多维标度”(MDS)程序。后一种技术涉及映射16个点的笛卡尔坐标,但受到任何两个点之间的距离反映相应肌肉的共同活动程度的约束。分析结果表明,四个因素可以解释原始数据集91.5%的方差。这些因素可以在“肌肉图”上清楚地划分出来,这有助于支持这样一种观点,即在运动过程中,必须执行给定功能的肌肉群存在运动“程序”。进一步分析载荷矩阵(即,每个EMG向量与四个因素中的每一个之间的相关性)显示了以类似方式起作用的肌肉组。肌群可分为在(a)脚跟着地、(B)单肢负荷反应、(c)推进阶段或(d)以双相方式起作用的肌群。
The present study represents an attempt to ascertain whether there are some underlying trends that, in some combination, can explain all the variations in the linear envelopes of 16 EMG signals of selected leg muscles. Two kinds of analyses were performed: (a) a factor analysis of EMG data corresponding to 16 muscles of the lower limb and (b) a ''multi-dimensional scaling'' (MDS) procedure. The latter technique involved mapping the Cartesian coordinates for 16 points subject to the constraint that the distance between any two points reflected the degree of coactivity for the corresponding muscles. The results of these analyses showed that four factors could account for 91.5% of the variance in the original data set. These factors could be clearly demarcated on the ''muscle map,'' tending to support the notion that there are motor ''programs'' for groups of muscles that have to perform a given function during locomotion. Further analysis of the loading matrix (i.e., correlations between each EMG vector and each of the four factors) showed groups of muscles that acted in a similar manner. The muscle groups could be divided into those that act at the times of (a) heelstrike, (b) single limb loading response, (c) propulsion phase, or else (d) acted in a biphasic manner.