Changes in surface EMG assessed by discrete wavelet transform during maximal isometric voluntary contractions following supramaximal cycling

Document Type

Journal Article

Faculty

Faculty of Computing, Health and Science

School

School of Exercise and Health Sciences / Centre for Exercise and Sports Science Research

RAS ID

14803

Comments

Penailillo, L. E., Silvestre, R., & Nosaka, K. (2012). Changes in surface EMG assessed by discrete wavelet transform during maximal isometric voluntary contractions following supramaximal cycling. European Journal of Applied Physiology, 113(4), 895-904. Available here

Abstract

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.

DOI

10.1007/s00421-012-2499-1

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