基于小波和短时傅里叶变换方法的肌电信号分析比较。
Comparison of wavelet and short time Fourier transform methods in the analysis of EMG signals.
机构信息
Department of Electronics and Computer Education, Faculty of Technical Education, Gazi University, Ankara, Turkey.
出版信息
J Med Syst. 2010 Feb;34(1):91-4. doi: 10.1007/s10916-008-9219-8.
The electromyographic (EMG) signal observed at the surface of the skin is the sum of thousands of small potentials generated in the muscle fiber. There are many approaches to analyzing EMG signals with spectral techniques. In this study, the short time Fourier Transform (STFT) and wavelet transform (WT) were applied to EMG signals and coefficients were obtained. In these studies, MATLAB 7.01 program was used. According to obtained results, it was determined that WT is more useful than STFT in the fields of eliminating of resolution problem and providing of changeable resolution during analyze.
在皮肤表面观察到的肌电图 (EMG) 信号是肌肉纤维中产生的数千个小电位的总和。有许多方法可以使用频谱技术分析 EMG 信号。在这项研究中，应用了短时傅里叶变换 (STFT) 和小波变换 (WT) 对 EMG 信号进行分析并获得了系数。在这些研究中，使用了 MATLAB 7.01 程序。根据获得的结果，确定在消除分辨率问题和在分析过程中提供可变分辨率方面，WT 比 STFT 更有用。
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