Literature DB >> 26595663

Front-crawl stroke descriptors variability assessment for skill characterisation.

F Dadashi1, G P Millet2, K Aminian1.   

Abstract

The goal of this article is to characterise front-crawl swimming skill based on variability pattern of technique descriptors. Nine national level and nine recreational swimmers performed three 300 m trials in a 50 m outdoor pool, at 70%, 80% and 90% of their front-crawl 400 m personal best time. Using wearable inertial measurement units (IMUs) and validated algorithms we assessed the variability of technique descriptors at each arm cycle (139 ± 17 per trial). We calculated the duration of pull, push and non-propulsive phases, index of coordination (IdC), stroke length, stroke rate and intra-cyclic velocity variation. To track intra-trial technique variability, we calculated the Cauchy index to quantify the stability of multidimensional technique descriptors in space-time. Skilled swimmers, having access to divers motor solutions, achieved significantly higher velocities at similar intensities and similar IdC (P < 0.01) with more stable motor pattern (smaller Cauchy index). Besides, the similarity of intra-cyclic velocity variation at different intensities denotes that skilled swimmers used a wider dynamic range of velocity. We also introduced cycle velocity variation as a new metric of propulsive pattern repeatability and showed cycle velocity variation changes is correlated to the Cauchy index (rx,y = 0.72, P < 0.01). These findings indicate that IdC can be used as a predictor of performance only when swimmers of homogeneous expertise level are studied and suggest the scrutiny of both intra-cyclic velocity variation and cycle velocity variation as a requisite to study the motor adaptations of the swimmer in facing new constraints.

Entities:  

Keywords:  Performance; coordination; inertial sensor; motor adaptation; variability

Mesh:

Year:  2015        PMID: 26595663     DOI: 10.1080/02640414.2015.1114134

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


  8 in total

1.  Inertial Sensors in Swimming: Detection of Stroke Phases through 3D Wrist Trajectory.

Authors:  Matteo Cortesi; Andrea Giovanardi; Giorgio Gatta; Anna L Mangia; Sandro Bartolomei; Silvia Fantozzi
Journal:  J Sports Sci Med       Date:  2019-08-01       Impact factor: 2.988

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

Authors:  Valentina Camomilla; Elena Bergamini; Silvia Fantozzi; Giuseppe Vannozzi
Journal:  Sensors (Basel)       Date:  2018-03-15       Impact factor: 3.576

3.  SmartSwim, a Novel IMU-Based Coaching Assistance.

Authors:  Mahdi Hamidi Rad; Vincent Gremeaux; Fabien Massé; Farzin Dadashi; Kamiar Aminian
Journal:  Sensors (Basel)       Date:  2022-04-27       Impact factor: 3.847

4.  Velocity Variability and Performance in Backstroke in Elite and Good-Level Swimmers.

Authors:  Aléxia Fernandes; Márcio Goethel; Daniel A Marinho; Bruno Mezêncio; João Paulo Vilas-Boas; Ricardo Jorge Fernandes
Journal:  Int J Environ Res Public Health       Date:  2022-05-31       Impact factor: 4.614

5.  Interpersonal Coordination and Individual Organization Combined with Shared Phenomenological Experience in Rowing Performance: Two Case Studies.

Authors:  Ludovic Seifert; Julien Lardy; Jérôme Bourbousson; David Adé; Antoine Nordez; Régis Thouvarecq; Jacques Saury
Journal:  Front Psychol       Date:  2017-01-30

Review 6.  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

7.  Assessment of upper limb use in children with typical development and neurodevelopmental disorders by inertial sensors: a systematic review.

Authors:  Irene Braito; Martina Maselli; Giuseppina Sgandurra; Emanuela Inguaggiato; Elena Beani; Francesca Cecchi; Giovanni Cioni; Roslyn Boyd
Journal:  J Neuroeng Rehabil       Date:  2018-11-06       Impact factor: 4.262

8.  Arm-Stroke Descriptor Variability during 200-m Front Crawl Swimming.

Authors:  Matteo Cortesi; Rocco Di Michele; Silvia Fantozzi; Sandro Bartolomei; Giorgio Gatta
Journal:  Sensors (Basel)       Date:  2021-01-06       Impact factor: 3.576

  8 in total

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