School of Kinesiology, Pontificia Universidad Católica de Valparaíso, Valparaíso, Chile.
Eur J Appl Physiol. 2013 Apr;113(4):895-904. doi: 10.1007/s00421-012-2499-1. Epub 2012 Sep 23.
To better understand characteristics of neuromuscular fatigue in supramaximal cycling exercise, this study examined changes in surface electromyography (sEMG) frequency during maximal voluntary isometric contractions (MVC) following a 30-s Wingate anaerobic test (WAnT) using discrete wavelet transform (DWT). The changes in sEMG were also compared between DWT and mean frequency (MNF) obtained by fast Fourier transform (FFT). 17 healthy men performed a WAnT with a 7.5 % of body mass load. Knee extensor MVC torque was measured before and 1, 3, 6, 9, 12 and 15 min following WAnT, and sEMG was recorded from vastus lateralis muscle during the torque measures. sEMG was analysed for (RMS), MNF by FFT and frequency domains of DWT (divided into six domains). MVC torque decreased 21-23 % at 3-15 min, RMS increased 26-34 % at 1-15 min, and MNF decreased 8-10 % from baseline (76.3 ± 3.2 Hz) at 1-3 min post-cycling (P < 0.05). The DWT frequency domains showed that the changes lasted longer than MNF such that the intensity increased at 12 and 15 min for domain 2 (125-250 Hz), all time points for domain 3 (62.5-125 Hz), and 1-6 min for domains 4 (31.2-62.5 Hz) and 5 (15.6-31.2 Hz). The magnitude of increase in the intensity at 1 min post-exercise (45-60 %) was largest for domains 3 and 5 (P < 0.05). A significant correlation was evident only between the magnitude of changes in the domain 5 and MNF (r = -0.56). It is concluded that DWT provides information on neuromuscular fatigue that is not detected by MNF derived from FFT.
为了更好地理解超最大强度自行车运动中神经肌肉疲劳的特征,本研究使用离散小波变换(DWT)检查了 30 秒的瓦格纳无氧测试(WAnT)后最大自主等长收缩(MVC)中表面肌电图(sEMG)频率的变化。还比较了 DWT 与快速傅里叶变换(FFT)获得的平均频率(MNF)之间的 sEMG 变化。17 名健康男性进行了 7.5%体重负荷的 WAnT。在 WAnT 前后 1、3、6、9、12 和 15 分钟测量膝关节伸肌 MVC 扭矩,并在扭矩测量期间从股外侧肌记录 sEMG。sEMG 进行均方根(RMS)、FFT 的 MNF 和 DWT 的频域(分为六个域)分析。MVC 扭矩在 3-15 分钟时下降 21-23%,RMS 在 1-15 分钟时增加 26-34%,MNF 在 1-3 分钟时从基线(76.3±3.2 Hz)下降 8-10%循环后(P<0.05)。DWT 频域表明,这些变化持续时间长于 MNF,以至于在第 2 域(125-250 Hz)的 12 和 15 分钟以及在第 3 域(62.5-125 Hz)的所有时间点以及在第 4 域(31.2-62.5 Hz)和第 5 域(15.6-31.2 Hz)的 1-6 分钟时强度增加。运动后 1 分钟时,强度增加幅度最大的是第 3 域和第 5 域(45-60%)(P<0.05)。仅在第 5 域的变化幅度与 MNF 之间存在显著相关性(r=-0.56)。因此,DWT 提供了 FFT 衍生的 MNF 无法检测到的神经肌肉疲劳信息。