Literature DB >> 18547862

Modelling spatial-temporal and coordinative parameters in swimming.

L Seifert1, D Chollet.   

Abstract

This study modelled the changes in spatial-temporal and coordinative parameters through race paces in the four swimming strokes. The arm and leg phases in simultaneous strokes (butterfly and breaststroke) and the inter-arm phases in alternating strokes (crawl and backstroke) were identified by video analysis to calculate the time gaps between propulsive phases. The relationships among velocity, stroke rate, stroke length and coordination were modelled by polynomial regression. Twelve elite male swimmers swam at four race paces. Quadratic regression modelled the changes in spatial-temporal and coordinative parameters with velocity increases for all four strokes. First, the quadratic regression between coordination and velocity showed changes common to all four strokes. Notably, the time gaps between the key points defining the beginning and end of the stroke phases decreased with increases in velocity, which led to decreases in glide times and increases in the continuity between propulsive phases. Conjointly, the quadratic regression among stroke rate, stroke length and velocity was similar to the changes in coordination, suggesting that these parameters may influence coordination. The main practical application for coaches and scientists is that ineffective time gaps can be distinguished from those that simply reflect an individual swimmer's profile by monitoring the glide times within a stroke cycle. In the case of ineffective time gaps, targeted training could improve the swimmer's management of glide time.

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Year:  2008        PMID: 18547862     DOI: 10.1016/j.jsams.2008.03.002

Source DB:  PubMed          Journal:  J Sci Med Sport        ISSN: 1878-1861            Impact factor:   4.319


  9 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.  Effects of distance specialization on the backstroke swimming kinematics.

Authors:  Matteo Cortesi; Silvia Fantozzi; Giorgio Gatta
Journal:  J Sports Sci Med       Date:  2012-09-01       Impact factor: 2.988

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.  Differences in kinematics and energy cost between front crawl and backstroke below the anaerobic threshold.

Authors:  Tomohiro Gonjo; Carla McCabe; Ana Sousa; João Ribeiro; Ricardo J Fernandes; João Paulo Vilas-Boas; Ross Sanders
Journal:  Eur J Appl Physiol       Date:  2018-03-19       Impact factor: 3.078

5.  Evaluation of muscle fatigue during 100-m front crawl.

Authors:  Igor Stirn; Tomaz Jarm; Venceslav Kapus; Vojko Strojnik
Journal:  Eur J Appl Physiol       Date:  2010-09-08       Impact factor: 3.078

6.  The Effect of a Coordinative Training in Young Swimmers' Performance.

Authors:  Ana F Silva; Pedro Figueiredo; João P Vilas-Boas; Ricardo J Fernandes; Ludovic Seifert
Journal:  Int J Environ Res Public Health       Date:  2022-06-08       Impact factor: 4.614

7.  Stroke Kinematics, Temporal Patterns, Neuromuscular Activity, Pacing and Kinetics in Elite Breaststroke Swimming: A Systematic Review.

Authors:  Emily Nicol; Simon Pearson; David Saxby; Clare Minahan; Elaine Tor
Journal:  Sports Med Open       Date:  2022-06-08

8.  Muscle Fatigue and Swimming Efficiency in Behind and Lateral Drafting.

Authors:  Luca Puce; Karim Chamari; Lucio Marinelli; Laura Mori; Marco Bove; Emanuela Faelli; Marco Fassone; Filippo Cotellessa; Nicola Luigi Bragazzi; Carlo Trompetto
Journal:  Front Physiol       Date:  2022-03-03       Impact factor: 4.566

9.  Kinematics of the hip and body center of mass in front crawl.

Authors:  Ricardo J Fernandes; João Ribeiro; Pedro Figueiredo; Ludovic Seifert; João Paulo Vilas-Boas
Journal:  J Hum Kinet       Date:  2012-07-04       Impact factor: 2.193

  9 in total

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