Ryan Eric D, Cramer Joel T, Egan Alison D, Hartman Michael J, Herda Trent J
Department of Health and Exercise Science, University of Oklahoma, 1401 Asp Avenue, Norman, OK 73019-6081, USA.
J Electromyogr Kinesiol. 2008 Feb;18(1):54-67. doi: 10.1016/j.jelekin.2006.09.003. Epub 2006 Oct 27.
The purposes of this study were to examine the mechanomyographic (MMG) and electromyographic (EMG) time and frequency domain responses of the vastus lateralis (VL) and rectus femoris (RF) muscles during isometric ramp contractions and compare the time-frequency of the MMG and EMG signals generated by the short-time Fourier transform (STFT) and continuous wavelet transform (CWT). Nineteen healthy subjects (mean+/-SD age=24+/-4 years) performed two isometric maximal voluntary contractions (MVCs) before and after completing 2-3, 6-s isometric ramp contractions from 5% to 100% MVC with the right leg extensors. MMG and surface EMG signals were recorded from the VL and RF muscles. Time domains were represented as root mean squared amplitude values, and time-frequency representations were generated using the STFT and CWT. Polynomial regression analyses indicated cubic increases in MMG amplitude, MMG frequency, and EMG frequency, whereas EMG amplitude increased quadratically. From 5% to 24-28% MVC, MMG amplitude remained stable while MMG frequency increased. From 24-28% to 76-78% MVC, MMG amplitude increased rapidly while MMG frequency plateaued. From 76-78% to 100% MVC, MMG amplitude plateaued (VL) or decreased (RF) while MMG frequency increased. EMG amplitude increased while EMG frequency changed only marginally across the force spectrum with no clear deflection points. Overall, these findings suggested that MMG may offer more unique information regarding the interactions between motor unit recruitment and firing rate that control muscle force production during ramp contractions than traditional surface EMG. In addition, although the STFT frequency patterns were more pronounced than the CWT, both algorithms produced similar time-frequency representations for tracking changes in MMG or EMG frequency.
本研究的目的是检查等长斜坡收缩过程中股外侧肌(VL)和股直肌(RF)的肌机械图(MMG)和肌电图(EMG)的时域和频域反应,并比较短时傅里叶变换(STFT)和连续小波变换(CWT)生成的MMG和EMG信号的时频特征。19名健康受试者(平均±标准差年龄 = 24±4岁)在使用右腿伸肌完成2 - 3次、持续6秒、从5%最大自主收缩(MVC)到100%MVC的等长斜坡收缩前后,进行了两次等长最大自主收缩(MVC)。从VL和RF肌肉记录MMG和表面EMG信号。时域以均方根幅值表示,时频表示通过STFT和CWT生成。多项式回归分析表明,MMG幅值、MMG频率和EMG频率呈三次方增加,而EMG幅值呈二次方增加。从5%到24 - 28%MVC,MMG幅值保持稳定,而MMG频率增加。从24 - 28%到76 - 78%MVC,MMG幅值迅速增加,而MMG频率趋于平稳。从76 - 78%到100%MVC,MMG幅值趋于平稳(VL)或下降(RF),而MMG频率增加。EMG幅值增加,而EMG频率在整个力谱中仅略有变化,没有明显的转折点。总体而言,这些发现表明,与传统表面肌电图相比,MMG可能提供更多关于运动单位募集和放电频率之间相互作用的独特信息,这些相互作用控制着斜坡收缩过程中的肌肉力量产生。此外,尽管STFT频率模式比CWT更明显,但两种算法在跟踪MMG或EMG频率变化时产生了相似的时频表示。