Micera S, Sabatini A M, Dario P
Advanced Robotics Technology and Systems Laboratory, Scuola Superiore Sant'Anna, Pisa, Italy.
Med Eng Phys. 1998 Apr;20(3):211-5. doi: 10.1016/s1350-4533(98)00017-4.
The Generalized Likelihood Ratio (GLR) test is proposed for estimating the time instant of muscle contraction onset via electromyographic (EMG) signal processing. In contrast to commonly used threshold-based estimation methods, the proposed algorithm proves to be reasonably accurate even for low levels of EMG activity; the improved behaviour of the GLR test comes with just a modest increase in the computational complexity. A set of computer simulation experiments are presented, where the proposed algorithm and two different threshold-based estimators are studied; also, we discuss the results of analysing the EMG recordings of selected proximal muscles of the upper limb in a hemiparetic subject.
本文提出了广义似然比（GLR）检验，用于通过肌电图（EMG）信号处理来估计肌肉收缩开始的时刻。与常用的基于阈值的估计方法不同，该算法即使在EMG活动水平较低时也能证明具有合理的准确性；GLR检验性能的提升仅伴随着计算复杂度的适度增加。本文给出了一组计算机模拟实验，其中研究了该算法和两种不同的基于阈值的估计器；此外，我们还讨论了对一名偏瘫患者上肢选定近端肌肉的EMG记录进行分析的结果。
