Literature DB >> 23001683

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

Luis Peñailillo1, Rony Silvestre, Kazunori Nosaka.   

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.

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Year:  2012        PMID: 23001683     DOI: 10.1007/s00421-012-2499-1

Source DB:  PubMed          Journal:  Eur J Appl Physiol        ISSN: 1439-6319            Impact factor:   3.078


  43 in total

1.  Spike sorting based on discrete wavelet transform coefficients.

Authors:  J C Letelier; P P Weber
Journal:  J Neurosci Methods       Date:  2000-09-15       Impact factor: 2.390

2.  Enhancement of spectral analysis of myoelectric signals during static contractions using wavelet methods.

Authors:  S Karlsson; J Yu; M Akay
Journal:  IEEE Trans Biomed Eng       Date:  1999-06       Impact factor: 4.538

3.  Fourier and wavelet spectral analysis of EMG signals in supramaximal constant load dynamic exercise.

Authors:  Thiago V Camata; Jose L Dantas; Taufik Abrao; Maria A C Brunetto; Antonio C Moraes; Leandro R Altimari
Journal:  Annu Int Conf IEEE Eng Med Biol Soc       Date:  2010

4.  The median frequency of the surface EMG power spectrum in relation to motor unit firing and action potential properties.

Authors:  H J Hermens; T A Bruggen; C T Baten; W L Rutten; H B Boom
Journal:  J Electromyogr Kinesiol       Date:  1992       Impact factor: 2.368

5.  Muscle fibre conduction velocity during a 30-s Wingate anaerobic test.

Authors:  David Stewart; Dario Farina; Chao Shen; Andrea Macaluso
Journal:  J Electromyogr Kinesiol       Date:  2011-03-17       Impact factor: 2.368

6.  Divergent muscle fatigue during unilateral isometric contractions of dominant and non-dominant quadriceps.

Authors:  Mark E T Willems; James P G Ponte
Journal:  J Sci Med Sport       Date:  2012-07-19       Impact factor: 4.319

7.  Plasma metabolites, volume and electrolytes following 30-s high-intensity exercise in boys and men.

Authors:  H Hebestreit; F Meyer; G J Heigenhauser; O Bar-Or
Journal:  Eur J Appl Physiol Occup Physiol       Date:  1996

8.  Effects of prolonged exercise on the contractile properties of human quadriceps muscle.

Authors:  K Sahlin; J Y Seger
Journal:  Eur J Appl Physiol Occup Physiol       Date:  1995

9.  Effects of muscle fiber type and size on EMG median frequency and conduction velocity.

Authors:  E J Kupa; S H Roy; S C Kandarian; C J De Luca
Journal:  J Appl Physiol (1985)       Date:  1995-07

10.  Validation of the wavelet spectral estimation technique in biceps brachii and brachioradialis fatigue assessment during prolonged low-level static and dynamic contractions.

Authors:  I Hostens; J Seghers; A Spaepen; H Ramon
Journal:  J Electromyogr Kinesiol       Date:  2004-04       Impact factor: 2.368

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  3 in total

1.  Association between spectral characteristics of paraspinal muscles and functional disability in patients with low back pain: a cohort study.

Authors:  Shin-Yi Chiou; Ermis Koutsos; Pantelis Georgiou; Paul H Strutton
Journal:  BMJ Open       Date:  2018-02-14       Impact factor: 2.692

Review 2.  Complexity Analysis of Surface Electromyography for Assessing the Myoelectric Manifestation of Muscle Fatigue: A Review.

Authors:  Susanna Rampichini; Taian Martins Vieira; Paolo Castiglioni; Giampiero Merati
Journal:  Entropy (Basel)       Date:  2020-05-07       Impact factor: 2.524

3.  The Influence of Verbal Instruction on Measurement Reliability and Explosive Neuromuscular Performance of the Knee Extensors.

Authors:  Hamdi Jaafar; Hanene Lajili
Journal:  J Hum Kinet       Date:  2018-12-31       Impact factor: 2.193

  3 in total

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