Chen J J, Shiavi R G, Zhang L Q
Department of Biomedical Engineering, Vanderbilt University, Nashville, TN 37235.
IEEE Trans Biomed Eng. 1992 Jan;39(1):9-18. doi: 10.1109/10.108122.
The muscular synergy patterns of human locomotion can be described by the phasic activity of electromyographic linear envelopes (LE) and the interphasic spatio-temporal relations. To represent the phasic activity, the LE is modeled as the summation of Gaussian pulses of various lengths. The parameters of interest are the temporal features: time, duration, and amplitude of the phases of activity. A maximum likelihood approach to the parameter estimation for a mixture of normal distributions is adopted for extracting the temporal features. Based on the derived temporal features, a set of relational descriptors can be defined to describe the spatio-temporal relations between the multichannel phasic activities. The strength of this approach is not only that the phasic activity of LE can be quantitatively represented accurately, but also that the resulting synergy patterns can be easily interpreted by observers.
人类运动的肌肉协同模式可以通过肌电图线性包络(LE)的阶段性活动和阶段间的时空关系来描述。为了表示阶段性活动,LE被建模为不同长度高斯脉冲的总和。感兴趣的参数是时间特征:活动阶段的时间、持续时间和幅度。采用最大似然法对正态分布混合模型进行参数估计以提取时间特征。基于导出的时间特征,可以定义一组关系描述符来描述多通道阶段性活动之间的时空关系。这种方法的优势不仅在于可以准确地定量表示LE的阶段性活动,还在于观察者可以轻松解释由此产生的协同模式。