肌电图与关节力矩之间动态关系的最小二乘辨识
Least-squares identification of the dynamic relation between the electromyogram and joint moment.
作者信息
Bobet J, Norman R W
机构信息
Department of Kinesiology, University of Waterloo, Ontario, Canada.
出版信息
J Biomech. 1990;23(12):1275-6. doi: 10.1016/0021-9290(90)90386-h.
PMID:2292608
Abstract
The dynamic relation between surface EMG of an agonist and isometric joint moment is important in models for the prediction of dynamic joint moment from EMG. An efficient approach for determining the best-fitting linear transfer function relating EMG and isometric moment, using a least-squares approach, is presented and illustrated for a second-order model.
摘要
在从肌电图（EMG）预测动态关节力矩的模型中，主动肌表面肌电图与等长关节力矩之间的动态关系很重要。本文提出了一种使用最小二乘法确定肌电图与等长力矩之间最佳拟合线性传递函数的有效方法，并针对二阶模型进行了说明。
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