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。
Thus, it provides an alternative novel approach to use the surface EMG in control the multi-freedom prosthetic hand.
这种方法可以用于人手动作的识别，为研究多自由度假手表面肌电信号控制方法提供了新途径。
Conclusion. Surface EMG can be used successfully in distinguishing chronic pain patients and controls, and efficacy of treatment regimes.
结论：表面肌电图可以成功的鉴别慢性疼痛和正常人，可以有效的用来评估治疗结果。
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。
To meet the requirement of developing myoelectric controller for a man-machine systems, a surface electromyography (EMG) detection and analysis system is discussed in this paper.
本文针对假肢等人-机仿生系统肌电控制装置的特点，研制了一种小型表面EMG测试与分析系统。
Objective:To study the characteristics of surface electromyogram(EMG) signals and to realize the quantitative analysis during muscle fatigue.
目的：研究肌肉疲劳过程中表面肌电信号的特征，实现疲劳状态的定量描述。
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 electromyogram (EMG) signals were identified by fractal dimension.
通过分形维对表面肌电信号进行识别分类。
Surface electromyogram (EMG) signals were identified by fractal dimension.
通过分形维对表面肌电信号进行识别分类。
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