Literature DB >> 26695636

Validation of a Torso-Mounted Accelerometer for Measures of Vertical Oscillation and Ground Contact Time During Treadmill Running.

Ricky Watari1, Blayne Hettinga, Sean Osis, Reed Ferber.   

Abstract

The purpose of this study was to validate measures of vertical oscillation (VO) and ground contact time (GCT) derived from a commercially-available, torso-mounted accelerometer compared with single marker kinematics and kinetic ground reaction force (GRF) data. Twenty-two semi-elite runners ran on an instrumented treadmill while GRF data (1000 Hz) and three-dimensional kinematics (200 Hz) were collected for 60 s across 5 different running speeds ranging from 2.7 to 3.9 m/s. Measurement agreement was assessed by Bland-Altman plots with 95% limits of agreement and by concordance correlation coefficient (CCC). The accelerometer had excellent CCC agreement (> 0.97) with marker kinematics, but only moderate agreement, and overestimated measures between 16.27 mm to 17.56 mm compared with GRF VO measures. The GCT measures from the accelerometer had very good CCC agreement with GRF data, with less than 6 ms of mean bias at higher speeds. These results indicate a torso-mounted accelerometer provides valid and accurate measures of torso-segment VO, but both a marker placed on the torso and the accelerometer yield systematic overestimations of center of mass VO. Measures of GCT from the accelerometer are valid when compared with GRF data, particularly at faster running speeds.

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Year:  2015        PMID: 26695636     DOI: 10.1123/jab.2015-0200

Source DB:  PubMed          Journal:  J Appl Biomech        ISSN: 1065-8483            Impact factor:   1.833


  7 in total

Review 1.  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

2.  Validity and Reliability of Inertial Measurement Units on Lower Extremity Kinematics During Running: A Systematic Review and Meta-Analysis.

Authors:  Ziwei Zeng; Yue Liu; Xiaoyue Hu; Meihua Tang; Lin Wang
Journal:  Sports Med Open       Date:  2022-06-27

3.  Validation of Running Gait Event Detection Algorithms in a Semi-Uncontrolled Environment.

Authors:  Seth R Donahue; Michael E Hahn
Journal:  Sensors (Basel)       Date:  2022-04-30       Impact factor: 3.847

4.  Association Between Temporal Spatial Parameters and Overuse Injury History in Runners: A Systematic Review and Meta-analysis.

Authors:  Richard A Brindle; Jeffrey B Taylor; Coty Rajek; Anika Weisbrod; Kevin R Ford
Journal:  Sports Med       Date:  2020-02       Impact factor: 11.136

5.  Does Site Matter? Impact of Inertial Measurement Unit Placement on the Validity and Reliability of Stride Variables During Running: A Systematic Review and Meta-analysis.

Authors:  Benjamin J Horsley; Paul J Tofari; Shona L Halson; Justin G Kemp; Jessica Dickson; Nirav Maniar; Stuart J Cormack
Journal:  Sports Med       Date:  2021-03-24       Impact factor: 11.136

6.  Development, evaluation and application of a novel markerless motion analysis system to understand push-start technique in elite skeleton athletes.

Authors:  Laurie Needham; Murray Evans; Darren P Cosker; Steffi L Colyer
Journal:  PLoS One       Date:  2021-11-15       Impact factor: 3.240

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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