Using principal component analysis to investigate pacing strategies in elite international canoe kayak sprint races
Autor: | Bruce Smith, John W. Kozey, Michel Ladouceur, Scott C. Landry, Joshua A. Goreham |
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Rok vydání: | 2020 |
Předmět: |
medicine.medical_specialty
biology Athletes 0206 medical engineering Functional data analysis Physical Therapy Sports Therapy and Rehabilitation 030229 sport sciences 02 engineering and technology biology.organism_classification 020601 biomedical engineering 03 medical and health sciences 0302 clinical medicine Physical medicine and rehabilitation Sprint Elite Principal component analysis medicine Orthopedics and Sports Medicine Psychology |
Zdroj: | Sports Biomechanics. :1-16 |
ISSN: | 1752-6116 1476-3141 |
Popis: | The aim of this research was to use principal component analysis (PCA) to investigate the current pacing strategies of elite canoe kayak sprint athletes and to determine if there are differences in pacing patterns between medallists and non-medallists at major international competitions. Velocity data collected using global positioning systems (GPS) from all a-finals of major international competitions in 2016-2017 (including canoe and kayak, single and crew boat, and male and female) were downloaded from the International Canoe Federation's website. Data were normalised by the average velocity within each race and organised by race distance. In total 10, 14 and 16 races were analysed, and they followed all-out, positive, and 'seahorse-shaped' pacing strategies for the 200 m, 500 m, and 1000 m events, respectively. Normalised velocity PC1 ( |
Databáze: | OpenAIRE |
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