Literature DB >> 19850518

Identifying symmetry in running gait using a single inertial sensor.

James B Lee1, Kattie J Sutter, Christopher D Askew, Brendan J Burkett.   

Abstract

Running gait has been shown to alter due to changes in intensity. It was hypothesised that a sacral mounted single inertial sensor could identify the centre of mass (COM) vertical accelerations. This study aimed to validate this new technique against a criterion measure and to determine the influence of changes in running intensity on COM vertical acceleration and the symmetry of COM vertical acceleration between left and right steps. Ten athletes ran for 5min at their self-selected pace, plus 1km/h above and below this velocity. Validity of the single inertial sensor was determined by comparing COM vertical acceleration against that measured with a six-camera infrared system. Large correlation (r=0.96), a small typical error of estimate (1.84), and mean bias (0.02) were found between the two systems. The greatest magnitude in COM vertical acceleration occurred at the slowest running pace and decreased as pace increased. Sixty percent of the athletes exhibited asymmetry during at least one running pace; 30% were asymmetrical across all three velocities. While significant changes in COM vertical acceleration occurred between the different running velocities, this did not always result in a change in symmetry. This study found that a single inertial sensor can be used as a valid means of measuring COM vertical acceleration. This technique can detect changes in the COM vertical acceleration that may change with running velocity. Gait symmetry (using COM vertical acceleration) during running was also quantified using the inertial sensor.

Mesh:

Year:  2009        PMID: 19850518     DOI: 10.1016/j.jsams.2009.08.004

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


  9 in total

1.  Accelerometer-based on-body sensor localization for health and medical monitoring applications.

Authors:  Alireza Vahdatpour; Navid Amini; Wenyao Xu; Majid Sarrafzadeh
Journal:  Pervasive Mob Comput       Date:  2011-12       Impact factor: 3.453

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.  Wearables for Running Gait Analysis: A Systematic Review.

Authors:  Rachel Mason; Liam T Pearson; Gillian Barry; Fraser Young; Oisin Lennon; Alan Godfrey; Samuel Stuart
Journal:  Sports Med       Date:  2022-10-15       Impact factor: 11.928

4.  Variability of the Center of Mass in Trained Triathletes in Running After Cycling: A Preliminary Study Conducted in a Real-Life Setting.

Authors:  Stuart A Evans; Daniel James; David Rowlands; James B Lee
Journal:  Front Sports Act Living       Date:  2022-06-06

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.  Validation of a High Sampling Rate Inertial Measurement Unit for Acceleration During Running.

Authors:  Thomas Provot; Xavier Chiementin; Emeric Oudin; Fabrice Bolaers; Sébastien Murer
Journal:  Sensors (Basel)       Date:  2017-08-25       Impact factor: 3.576

7.  A multi-sensor human gait dataset captured through an optical system and inertial measurement units.

Authors:  Geise Santos; Marcelo Wanderley; Tiago Tavares; Anderson Rocha
Journal:  Sci Data       Date:  2022-09-07       Impact factor: 8.501

8.  Detection of illegal race walking: a tool to assist coaching and judging.

Authors:  James B Lee; Rebecca B Mellifont; Brendan J Burkett; Daniel A James
Journal:  Sensors (Basel)       Date:  2013-11-26       Impact factor: 3.576

Review 9.  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

  9 in total

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