Literature DB >> 16138656

Accelerometry-based feedback--can it improve movement consistency and performance in rowing?

Ross Anderson1, Andrew Harrison, Gerard M Lyons.   

Abstract

The training and competition regimen of elite athletes demands rapid feedback about their performance. The aim of this study was to determine if real-time visual ipsative (comparison with oneself) feedback of instantaneous kinematic consistency improves overall kinematic consistency in rowing. Accelerometry-based data, representing the upper and lower body kinematics, were determined for 13 experienced rowers. Kinematic consistency data -- represented by percentage time outside the acceptable performance bandwidth, performance consistency -- represented by power-stroke dispersion, and several performance indicators were acquired for all the rowers for three 2000 m time trials on a RowPerfect ergometer with three different visual feedback interventions: no feedback, detailed feedback, and summary feedback. Results indicated significantly increased performance consistency for detailed feedback than for both no feedback (p < 0.01) and summary feedback (p < 0.05). No significant difference between summary feedback and no feedback was found (p = 0.173). We deemed feedback of detailed information to enhance kinematic consistency significantly more than both no feedback (p < 0.01) and summary feedback (p < 0.01) interventions, although summary feedback was shown to enhance kinematic consistency more than no feedback (p < 0.01). No improvements were found for performance-related parameters.

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Mesh:

Year:  2005        PMID: 16138656     DOI: 10.1080/14763140508522862

Source DB:  PubMed          Journal:  Sports Biomech        ISSN: 1476-3141            Impact factor:   2.832


  7 in total

Review 1.  Harnessing and understanding feedback technology in applied settings.

Authors:  Elissa Phillips; Damian Farrow; Kevin Ball; Richard Helmer
Journal:  Sports Med       Date:  2013-10       Impact factor: 11.136

Review 2.  Over 50 Years of Researching Force Profiles in Rowing: What Do We Know?

Authors:  John Warmenhoven; Stephen Cobley; Conny Draper; Richard Smith
Journal:  Sports Med       Date:  2018-12       Impact factor: 11.136

Review 3.  Augmented visual, auditory, haptic, and multimodal feedback in motor learning: a review.

Authors:  Roland Sigrist; Georg Rauter; Robert Riener; Peter Wolf
Journal:  Psychon Bull Rev       Date:  2013-02

Review 4.  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

5.  Feasibility of visual instrumented movement feedback therapy in individuals with motor incomplete spinal cord injury walking on a treadmill.

Authors:  Daniel Schliessmann; Christian Schuld; Matthias Schneiders; Steffen Derlien; Maria Glöckner; Till Gladow; Norbert Weidner; Rüdiger Rupp
Journal:  Front Hum Neurosci       Date:  2014-06-12       Impact factor: 3.169

6.  Adaptive smartphone-based sensor fusion for estimating competitive rowing kinematic metrics.

Authors:  Bryn Cloud; Britt Tarien; Ada Liu; Thomas Shedd; Xinfan Lin; Mont Hubbard; R Paul Crawford; Jason K Moore
Journal:  PLoS One       Date:  2019-12-05       Impact factor: 3.240

7.  Development of a Coaching System for Functional Electrical Stimulation Rowing: A Feasibility Study in Able-Bodied Individuals.

Authors:  Shirin Tajali; Kai Lon Fok; Pirashanth Theventhiran; Gongkai Ye; Hikaru Yokoyama; Kento Nakagawa; Kei Masani
Journal:  Sensors (Basel)       Date:  2022-02-25       Impact factor: 3.576

  7 in total

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