Literature DB >> 16823352

Effect of fatigue on stride pattern continuously measured by an accelerometric gait recorder in middle distance runners.

R Le Bris1, V Billat, B Auvinet, D Chaleil, L Hamard, E Barrey.   

Abstract

AIM: The purpose of this study was to analyze the continuous changes in stride patterns of athletes running at speed elicited VO(2max).
METHODS: Six male sub-elite middle-distance runners carried out a constant track running test to exhaustion (time to exhaustion: 409+/-71 s) at their maximal aerobic speed (17.4+/-1.1 km.h(-1)). The body accelerations were measured with a triaxial accelerometer fixed at the low back. A set of variables was computed from the accelerometer output: stride frequency, stride symmetry and regularity, signal energies and impulses in each axis and the integral of the total acceleration vector. An ANOVA with repeated measures was performed to test the changes of these variables during the three times: the onset point, midway point and end point of exercise.
RESULTS: The following changes were observed: the regularity index which describes the similarity of crania-caudal movements over successive strides, decreased significantly between the start and the end of the test (309.9 to 274.5; P<0.05). During the same time, the media-lateral impulse (4.69%BW.s to 5.71%BW.s; P<0.001; BW: body weight) and signal energy (1.40 G(2).s to 2.06 G(2).s; P<0.001; G=9.81 m.s(-2)) increased significantly.
CONCLUSIONS: The changes in medio-lateral axis (increase of energy expenditure which is not useful for propulsion) and in the regularity index (modifications in the temporal-spatial periodicity of the running cycle) could be considered as early alterations of running pattern when the athletes got fatigued.

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Year:  2006        PMID: 16823352

Source DB:  PubMed          Journal:  J Sports Med Phys Fitness        ISSN: 0022-4707            Impact factor:   1.637


  7 in total

Review 1.  Gait dynamics, fractals and falls: finding meaning in the stride-to-stride fluctuations of human walking.

Authors:  Jeffrey M Hausdorff
Journal:  Hum Mov Sci       Date:  2007-07-05       Impact factor: 2.161

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.  Between-Day Reliability of Commonly Used IMU Features during a Fatiguing Run and the Effect of Speed.

Authors:  Hannah L Dimmick; Cody R van Rassel; Martin J MacInnis; Reed Ferber
Journal:  Sensors (Basel)       Date:  2022-05-29       Impact factor: 3.847

4.  A Multifactorial Approach to Overuse Running Injuries: A 1-Year Prospective Study.

Authors:  Sara C Winter; Susan Gordon; Sara M Brice; Daniel Lindsay; Sue Barrs
Journal:  Sports Health       Date:  2020-01-29       Impact factor: 3.843

5.  Wireless Tri-Axial Trunk Accelerometry Detects Deviations in Dynamic Center of Mass Motion Due to Running-Induced Fatigue.

Authors:  Kurt H Schütte; Ellen A Maas; Vasileios Exadaktylos; Daniel Berckmans; Rachel E Venter; Benedicte Vanwanseele
Journal:  PLoS One       Date:  2015-10-30       Impact factor: 3.240

6.  Impact of Center-of-Mass Acceleration on the Performance of Ultramarathon Runners.

Authors:  Shun-Ping Lin; Wen-Hsu Sung; Fon-Chu Kuo; Terry B J Kuo; Jin-Jong Chen
Journal:  J Hum Kinet       Date:  2014-12-30       Impact factor: 2.193

Review 7.  Is This the Real Life, or Is This Just Laboratory? A Scoping Review of IMU-Based Running Gait Analysis.

Authors:  Lauren C Benson; Anu M Räisänen; Christian A Clermont; Reed Ferber
Journal:  Sensors (Basel)       Date:  2022-02-23       Impact factor: 3.576

  7 in total

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