Journal
JOURNAL OF APPLIED BIOMECHANICS
Volume 35, Issue 6, Pages 401-409Publisher
HUMAN KINETICS PUBL INC
DOI: 10.1123/jab.2018-0453
Keywords
running; fatigue; performance; composite index; movement patterns
Categories
Funding
- Natural Sciences and Engineering Research Council of Canada (NSERC) Postgraduate Scholarship
- Alberta Innovates: Technology Futures Graduate Studentship
- University of Calgary
- Faculty of Kinesiology at the University of Calgary
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The purpose of this study was to use wearable technology data to quantify alterations in subject-specific running patterns throughout a marathon race and to determine if runners could be clustered into subgroups based on similar trends in running gait alterations throughout the marathon. Using a wearable sensor, data were collected for cadence, braking, bounce, pelvic rotation, pelvic drop, and ground contact time for 27 runners. A composite index was calculated based on the typical data (4-14 km) for each runner and evaluated for 14 individual 2-km sections thereafter to detect atypical data (ie, higher indices). A cluster analysis assigned all runners to a subgroup based on similar trends in running alterations. Results indicated that the indices became significantly higher starting at 20 to 22 km. Cluster 1 exhibited lower indices than cluster 2 throughout the marathon, and the only significant difference in characteristics between clusters was that cluster 1 had a lower age-grade performance score than cluster 2. In summary, this study presented a novel method to investigate the effects of fatigue on running biomechanics using wearable technology in a real-world setting. Recreational runners with higher age-grade performance scores had less atypical running patterns throughout the marathon compared with runners with lower age-grade performance scores.
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