Literature DB >> 25734398

Reliability and validity of instrumented soccer equipment.

Jonathan S Akins1, Nicholas R Heebner, Mita Lovalekar, Timothy C Sell.   

Abstract

Ankle ligament sprains are the most common injury in soccer. The high rate of these injuries demonstrates a need for novel data collection methodologies. Therefore, soccer shoes and shin guards were instrumented with inertial sensors to measure ankle joint kinematics in the field. The purpose of this study was to assess test-retest reliability and concurrent criterion validity of a kinematic assessment using the instrumented soccer equipment. Twelve soccer athletes performed athletic maneuvers in the laboratory and field during 2 sessions. In the laboratory, ankle joint kinematics were simultaneously measured with the instrumented equipment and a conventional motion analysis system. Reliability was assessed using ICC and validity was assessed using correlation coefficients and RMSE. While our design criteria of good test-retest reliability was not supported (ICC > .80), sagittal plane ICCs were mostly fair to good and similar to motion analysis results; and sagittal plane data were valid (r = .90-98; RMSE < 5°). Frontal and transverse plane data were not valid (r < .562; RMSE > 3°). Our results indicate that the instrumented soccer equipment can be used to measure sagittal plane ankle joint kinematics. Biomechanical studies support the utility of sagittal plane measures for lower extremity injury prevention.

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Year:  2015        PMID: 25734398     DOI: 10.1123/jab.2014-0191

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


  4 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.  Validation of Spatiotemporal and Kinematic Measures in Functional Exercises Using a Minimal Modeling Inertial Sensor Methodology.

Authors:  Benjamin R Hindle; Justin W L Keogh; Anna V Lorimer
Journal:  Sensors (Basel)       Date:  2020-08-15       Impact factor: 3.576

3.  Comparison of lower limb segment forces during running on artificial turf and natural grass.

Authors:  Shea McMurtry; Goeran Fiedler
Journal:  J Rehabil Assist Technol Eng       Date:  2019-05-13

4.  An IoT-Based Motion Tracking System for Next-Generation Foot-Related Sports Training and Talent Selection.

Authors:  Shanshan Lu; Xiao Zhang; Jiangqing Wang; Yufan Wang; Mengjiao Fan; Yu Zhou
Journal:  J Healthc Eng       Date:  2021-06-25       Impact factor: 2.682

  4 in total

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