Literature DB >> 20824283

Evaluation of muscle fatigue during 100-m front crawl.

Igor Stirn1, Tomaz Jarm, Venceslav Kapus, Vojko Strojnik.   

Abstract

The aim of this study was to evaluate muscle fatigue in upper body muscles during 100-m all-out front crawl. Surface electromyogram (EMG) was collected from the pectoralis major, latissimus dorsi and triceps brachii muscles of 11 experienced swimmers. Blood lactate concentration level increased to 14.1 ± 2.9 mmol l(-1) 5 min after the swim. The velocity, stroke length and stroke rate calculated based on video analysis decreased by 15.0, 5.8 and 7.4%, respectively, during the swim. EMG amplitude of the triceps and the lower part of the latissimus muscles increased, whilst the mean power frequency (MNF) of all muscles significantly decreased by 20-25%. No significant differences in the relative MNF decrease were observed amongst the muscles; however, the differences in the rate of the MNF decrease between the lower part of the latissimus and the triceps brachii muscles were found (P < 0.05). The time of rest between the muscle activation of the two consecutive arm strokes at the end of swimming was extended (P < 0.05). It was concluded that 100-m all-out crawl induced significant fatigue with no evident differences amongst the analysed muscles.

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Year:  2010        PMID: 20824283     DOI: 10.1007/s00421-010-1624-2

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


  51 in total

1.  Time-frequency methods applied to muscle fatigue assessment during dynamic contractions.

Authors:  M Knaflitz; P Bonato
Journal:  J Electromyogr Kinesiol       Date:  1999-10       Impact factor: 2.368

2.  Electromyogram median frequency, spectral compression and muscle fibre conduction velocity during sustained sub-maximal contraction of the brachioradialis muscle.

Authors:  M Lowery; P Nolan; M O'Malley
Journal:  J Electromyogr Kinesiol       Date:  2002-04       Impact factor: 2.368

3.  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

4.  Does net energy cost of swimming affect time to exhaustion at the individual's maximal oxygen consumption velocity?

Authors:  R J Fernandes; V L Billat; A C Cruz; P J Colaço; C S Cardoso; J P Vilas-Boas
Journal:  J Sports Med Phys Fitness       Date:  2006-09       Impact factor: 1.637

5.  Combined strength and endurance training in competitive swimmers.

Authors:  Stian Aspenes; Per-Ludvik Kjendlie; Jan Hoff; Jan Helgerud
Journal:  J Sports Sci Med       Date:  2009-09-01       Impact factor: 2.988

Review 6.  Interpretation of EMG changes with fatigue: facts, pitfalls, and fallacies.

Authors:  N A Dimitrova; G V Dimitrov
Journal:  J Electromyogr Kinesiol       Date:  2003-02       Impact factor: 2.368

7.  Assisted and resisted sprint training in swimming.

Authors:  Sébastien Girold; Paul Calmels; Didier Maurin; Nicolas Milhau; Jean-Claude Chatard
Journal:  J Strength Cond Res       Date:  2006-08       Impact factor: 3.775

8.  An estimation of drag in front crawl swimming.

Authors:  A J van der Vaart; H H Savelberg; G de Groot; A P Hollander; H M Toussaint; G J van Ingen Schenau
Journal:  J Biomech       Date:  1987       Impact factor: 2.712

9.  Myoelectric manifestations of fatigue in voluntary and electrically elicited contractions.

Authors:  R Merletti; M Knaflitz; C J De Luca
Journal:  J Appl Physiol (1985)       Date:  1990-11

Review 10.  Myoelectrical manifestations of localized muscular fatigue in humans.

Authors:  C J De Luca
Journal:  Crit Rev Biomed Eng       Date:  1984
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  14 in total

1.  Energy cost and body centre of mass' 3D intracycle velocity variation in swimming.

Authors:  Pedro Figueiredo; Tiago M Barbosa; João Paulo Vilas-Boas; Ricardo J Fernandes
Journal:  Eur J Appl Physiol       Date:  2012-01-20       Impact factor: 3.078

2.  Relationship between decreased swimming velocity and muscle activity during 200-m front crawl.

Authors:  Yasushi Ikuta; Yuji Matsuda; Yosuke Yamada; Noriyuki Kida; Shingo Oda; Toshio Moritani
Journal:  Eur J Appl Physiol       Date:  2012-01-26       Impact factor: 3.078

Review 3.  Coordination pattern variability provides functional adaptations to constraints in swimming performance.

Authors:  Ludovic Seifert; John Komar; Tiago Barbosa; Huub Toussaint; Grégoire Millet; Keith Davids
Journal:  Sports Med       Date:  2014-10       Impact factor: 11.136

4.  Neuromuscular fatigue during 200 m breaststroke.

Authors:  Ana Conceição; António J Silva; Tiago Barbosa; István Karsai; Hugo Louro
Journal:  J Sports Sci Med       Date:  2014-01-20       Impact factor: 2.988

5.  Neuromuscular Activity of Upper and Lower Limbs during two Backstroke Swimming Start Variants.

Authors:  Karla De Jesus; Kelly De Jesus; Alexandre I A Medeiros; Pedro Gonçalves; Pedro Figueiredo; Ricardo J Fernandes; João Paulo Vilas-Boas
Journal:  J Sports Sci Med       Date:  2015-08-11       Impact factor: 2.988

6.  Dynamic cortical participation during bilateral, cyclical ankle movements: effects of aging.

Authors:  Takashi Yoshida; Kei Masani; Karl Zabjek; Robert Chen; Milos R Popovic
Journal:  Sci Rep       Date:  2017-03-16       Impact factor: 4.379

7.  Interplay of biomechanical, energetic, coordinative, and muscular factors in a 200 m front crawl swim.

Authors:  Pedro Figueiredo; David R Pendergast; João Paulo Vilas-Boas; Ricardo J Fernandes
Journal:  Biomed Res Int       Date:  2013-03-17       Impact factor: 3.411

8.  Effect of isolated hip abductor fatigue on single-leg landing mechanics and simulated ACL loading.

Authors:  Namwoong Kim; Sae Yong Lee; Sung-Cheol Lee; Adam B Rosen; Terry L Grindstaff; Brian A Knarr
Journal:  Knee       Date:  2021-06-13       Impact factor: 2.423

9.  Muscle Fatigue in the Three Heads of the Triceps Brachii During a Controlled Forceful Hand Grip Task with Full Elbow Extension Using Surface Electromyography.

Authors:  Asraf Ali; Kenneth Sundaraj; R Badlishah Ahmad; Nizam Uddin Ahamed; Anamul Islam; Sebastian Sundaraj
Journal:  J Hum Kinet       Date:  2015-07-10       Impact factor: 2.193

10.  Underwater near-infrared spectroscopy can measure training adaptations in adolescent swimmers.

Authors:  Ben Jones; Dave Parry; Chris E Cooper
Journal:  PeerJ       Date:  2018-04-20       Impact factor: 2.984

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