Parametric Autoregressive (ar) model is the traditional time-domain EMG signal analyzing method.
自回归(AR)参数模型是传统的肌电信号时域分析方法。
The detection of surface EMG signal is a noninvasive method, which has great importance in clinical diagnosis, rehabilitation medicine and sport medicine.
表面肌电信号的检测是一种无创电检测方法，它的检验分析对临床诊断及康复医学、运动医学等具有重要意义。
The detection on signal of EMG is a non-invasive method, which has great importance in clinical diagnosis, rehabilitation and sport medicine.
表面肌电的信号检测是一种无创电检测方法，其信号的检测分析在临床诊断、康复医学及运动医学中具有重要意义。
We used a method of evoked EMG to measure normal data of the motor conduction velocity(MCV) of buccal branches of facial nerve in 80 rabbits(160 sides).
本文采用诱发肌电测定方法，测定了80只（160侧）健康家兔面神经颊支运功传导速度。
Conclusion: the triggered EMG induced by facial nerve stimulation is a safe and sensitive method during IOM and the stimulating intensity may predict the outcome of facial nerve injury.
结论：电刺激诱发肌电图是术中监护面神经功能安全而敏感的方法，并可通过刺激强度大小判断面神经预后。
A Surface EMG signal identification method based on short time Fourier transform is presented in this paper.
基于短时傅里叶变换形成的三维谱图，采用数字图像处理的方法提取信号的特征。
The application of the method to the classification of four action EMG signals proves its effectivity and high recognition rate.
通过对4类不同的动作肌电信号进行分类，验证了该方法的有效性和高识别率。
Surface electromyography (SEMG) has been proved to be a successful method of non-invasive measurement of EMG.
表面肌电信号（SEMG）是使用方便且无痛苦的表面电极测得的肌电信号。
Surface electromyography (SEMG) has been proved to be a successful method of non-invasive measurement of EMG.
表面肌电信号（SEMG）是使用方便且无痛苦的表面电极测得的肌电信号。
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