Systems Design Engineering, University of Waterloo, 200 University Avenue West, Waterloo, ON N2L 3G1, Canada.
Muscle Nerve. 2014 May;49(5):680-90. doi: 10.1002/mus.23977. Epub 2014 Jan 25.
Ten new features of motor unit potential (MUP) morphology and stability are proposed. These new features, along with 8 traditional features, are grouped into 5 aspects: size, shape, global complexity, local complexity, and stability.
We used sequential forward and backward search strategies to select subsets of these 18 features to discriminate accurately between muscles whose MUPs are predominantly neurogenic, myopathic, or normal.
Results based on 8102 motor unit potential trains (MUPTs) extracted from 4 different limb muscles (n = 336 total muscles) demonstrate the usefulness of these newly introduced features and support an aspect-based grouping of MUPT features.
提出了运动单位电位(MUP)形态和稳定性的 10 个新特征。这些新特征与 8 个传统特征一起,分为 5 个方面:大小、形状、整体复杂性、局部复杂性和稳定性。
我们使用顺序前向和后向搜索策略来选择这些特征的子集,以准确区分 MUP 主要为神经源性、肌源性或正常的肌肉。
基于从 4 个不同肢体肌肉中提取的 8102 个运动单位电位序列(MUPT)(总计 336 个肌肉)的结果表明了这些新引入特征的有用性,并支持 MUPT 特征的基于方面的分组。