Coorevits Pascal, Danneels Lieven, Cambier Dirk, Ramon Herman, Druyts Hans, Stefan Karlsson J, Moor Georges De, Vanderstraeten Guy
Department of Medical Informatics and Statistics, Ghent University Hospital, De Pintelaan 185, B-9000 Ghent, Belgium.
J Electromyogr Kinesiol. 2008 Aug;18(4):637-44. doi: 10.1016/j.jelekin.2007.01.006. Epub 2008 Apr 8.
The aims of the current study were to examine the stationarities of surface electromyographic (EMG) signals obtained from eight bilateral back and hip muscles during a modified Biering-Sørensen test, and to investigate whether short-time Fourier (STFT) and continuous wavelet transforms (CWT) provided similar information with regard to EMG spectral parameters in the analysis of localized muscle fatigue. Twenty healthy subjects participated in the study after giving their informed consent. Reverse arrangement tests showed that 91.6% of the EMG signal epochs demonstrated no significant trends (all p>0.05), meaning 91.6% of the EMG signal epochs could be considered as stationary signals. Pearson correlation coefficients showed that STFT and CWT in general provide similar information with respect to the EMG spectral variables during isometric back extensions, and as a consequence STFT can still be used.
本研究的目的是检查在改良的比林-索伦森试验期间从八对双侧背部和臀部肌肉获得的表面肌电图（EMG）信号的平稳性，并研究短时傅里叶变换（STFT）和连续小波变换（CWT）在局部肌肉疲劳分析中关于EMG频谱参数是否提供相似的信息。20名健康受试者在签署知情同意书后参与了本研究。反向排列检验表明，91.6%的EMG信号时段未显示出显著趋势（所有p>0.05），这意味着91.6%的EMG信号时段可被视为平稳信号。皮尔逊相关系数表明，在等长背部伸展期间，STFT和CWT总体上提供了关于EMG频谱变量的相似信息，因此STFT仍可使用。
Electromyogr Clin Neurophysiol. 2004-3
Sensors (Basel). 2011-3-24
Med Biol Eng Comput. 2010-12-9
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