Literature DB >> 19787541

Quantifying freestyle kick-count and kick-rate patterns in Paralympic swimming.

Sacha K Fulton1, David B Pyne, Brendan Burkett.   

Abstract

Swimming speed is a function of the propulsion generated from arm strokes and leg kicks. Kicking is partially obscured underwater, making the kinematics of the kick difficult to analyse. In this study, we quantified 100-m freestyle kick-count and kick-rate patterns for 14 Paralympic swimmers using inertial-sensor technology. Swimmers took 145 +/- 39 kicks (mean +/- s) for swimming trials and 254 +/- 74 kicks for kicking-only trials. Kick rate was 124.9 +/- 20.3 kicks . min(-1) for swimming trials and 129.6 +/- 14.0 kicks . min(-1) for kicking-only trials. There were no marked differences in kick count among 25-m segments in the swimming trials. There was a substantial increase of 10.6%[90% confidence interval (90%CI): 7.3 to 14.0%] in the number of kicks in the kicking-only trials by the fourth 25-m segment. There was a substantial decrease in kick rate by the third 25-m segment for swimming (-12.0%; 90%CI: -12.8 to -11.1%) and kicking-only (-7.3%; 90%CI: -8.6 to -5.9%) trials. The relationship between swimming and kicking-only kick rates was r = 0.67 (0.55 to 0.76; P < 0.001). The temporal patterns of the kick in kicking only differed from those in swimming; increases in kick rate can improve freestyle swimming performance.

Entities:  

Mesh:

Year:  2009        PMID: 19787541     DOI: 10.1080/02640410903062936

Source DB:  PubMed          Journal:  J Sports Sci        ISSN: 0264-0414            Impact factor:   3.337


  8 in total

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Review 2.  Trends Supporting the In-Field Use of Wearable Inertial Sensors for Sport Performance Evaluation: A Systematic Review.

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Journal:  Sensors (Basel)       Date:  2018-03-15       Impact factor: 3.576

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Journal:  Sensors (Basel)       Date:  2012-04-18       Impact factor: 3.576

Review 4.  Inertial Sensor Technology for Elite Swimming Performance Analysis: A Systematic Review.

Authors:  Robert Mooney; Gavin Corley; Alan Godfrey; Leo R Quinlan; Gearóid ÓLaighin
Journal:  Sensors (Basel)       Date:  2015-12-25       Impact factor: 3.576

Review 5.  Behavioral Dynamics in Swimming: The Appropriate Use of Inertial Measurement Units.

Authors:  Brice Guignard; Annie Rouard; Didier Chollet; Ludovic Seifert
Journal:  Front Psychol       Date:  2017-03-14

Review 6.  Wearable Sensors in Sports for Persons with Disability: A Systematic Review.

Authors:  Lorenzo Rum; Oscar Sten; Eleonora Vendrame; Valeria Belluscio; Valentina Camomilla; Giuseppe Vannozzi; Luigi Truppa; Marco Notarantonio; Tommaso Sciarra; Aldo Lazich; Andrea Mannini; Elena Bergamini
Journal:  Sensors (Basel)       Date:  2021-03-07       Impact factor: 3.576

7.  Integrated Timing of Stroking, Breathing, and Kicking in Front-Crawl Swimming: A Novel Stroke-by-Stroke Approach Using Wearable Inertial Sensors.

Authors:  Silvia Fantozzi; Vittorio Coloretti; Maria Francesca Piacentini; Claudio Quagliarotti; Sandro Bartolomei; Giorgio Gatta; Matteo Cortesi
Journal:  Sensors (Basel)       Date:  2022-02-12       Impact factor: 3.576

8.  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

  8 in total

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