Literature DB >> 30537920

The influence of running velocity on resultant tibial acceleration in runners.

Kelly R Sheerin1, Thor F Besier1,2, Duncan Reid1.   

Abstract

Tibial acceleration is a surrogate measure for impact loading and might be useful for identifying lower limb fatigue injury in runners. The resultant tibial acceleration calculated from all three axes of a triaxial accelerometer provides a single metric that is independent of the sensor orientation. The purpose of this study was to investigate the relationship between resultant tibial acceleration and running velocity, and to establish a normative database of tibial acceleration profiles. Triaxial accelerometers were attached to the distal tibiae of 85 runners before they ran on a treadmill for 2 min each, at speeds of 2.7, 3.0, 3.3, and 3.7 m/s. Differences in resultant tibial acceleration were calculated using a one-way ANOVA, and the relationship between tibial acceleration and velocity was determined using a Pearson correlation coefficient and a multiple linear regression analysis. Tibial acceleration increased with higher velocities, with an average increase of 3.8 g (38%) between the slowest and fastest speeds. A moderate correlation was demonstrated between tibial acceleration and running velocity, and 19% of tibial acceleration was explained by velocity. While velocity influences tibial acceleration, individual variances to this relationship exist, highlighting the need for a personalised approach to understanding the response of each runner.

Entities:  

Keywords:  Running velocity; accelerometer; impact; shock

Year:  2018        PMID: 30537920     DOI: 10.1080/14763141.2018.1546890

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


  6 in total

1.  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

Review 2.  The Use of Wearable Sensors for Preventing, Assessing, and Informing Recovery from Sport-Related Musculoskeletal Injuries: A Systematic Scoping Review.

Authors:  Ezio Preatoni; Elena Bergamini; Silvia Fantozzi; Lucie I Giraud; Amaranta S Orejel Bustos; Giuseppe Vannozzi; Valentina Camomilla
Journal:  Sensors (Basel)       Date:  2022-04-22       Impact factor: 3.847

3.  Acute Effects of Gait Interventions on Tibial Loads During Running: A Systematic Review and Meta-analysis.

Authors:  Meghan Keast; Jason Bonacci; Aaron Fox
Journal:  Sports Med       Date:  2022-06-16       Impact factor: 11.928

4.  Treadmill and Running Speed Effects on Acceleration Impacts: Curved Non-Motorized Treadmill vs. Conventional Motorized Treadmill.

Authors:  Alberto Encarnación-Martínez; Ignacio Catalá-Vilaplana; Rafael Berenguer-Vidal; Roberto Sanchis-Sanchis; Borja Ochoa-Puig; Pedro Pérez-Soriano
Journal:  Int J Environ Res Public Health       Date:  2021-05-20       Impact factor: 3.390

5.  Towards Machine Learning-Based Detection of Running-Induced Fatigue in Real-World Scenarios: Evaluation of IMU Sensor Configurations to Reduce Intrusiveness.

Authors:  Luca Marotta; Jaap H Buurke; Bert-Jan F van Beijnum; Jasper Reenalda
Journal:  Sensors (Basel)       Date:  2021-05-15       Impact factor: 3.576

Review 6.  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

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.