2020
DOI: 10.1080/14763141.2020.1806348
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Using principal component analysis to investigate pacing strategies in elite international canoe kayak sprint races

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Cited by 8 publications
(2 citation statements)
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“…Although these data inform how rowers race, they may be misleading due to a large distance between each split and the use of the average of 500m for each split. In fact, the analysis of few splits registered in longer intervals (four datapoints over 2000m) during the race may prevent the detection of important fluctuations in pacing (Goreham et al, 2020;Thiel et al, 2012).…”
Section: Introductionmentioning
confidence: 99%
“…Although these data inform how rowers race, they may be misleading due to a large distance between each split and the use of the average of 500m for each split. In fact, the analysis of few splits registered in longer intervals (four datapoints over 2000m) during the race may prevent the detection of important fluctuations in pacing (Goreham et al, 2020;Thiel et al, 2012).…”
Section: Introductionmentioning
confidence: 99%
“…Similarly, Vein Goreham et al [54] have investigated pacing strategies in international elite paddlers for 200m, 500m, and 1,000m distances utilizing principal component analysis. Velocity data was measured by a GPS unit on each participant's kayak during the 2016 Olympic Games, the 2016 World Cups 1, 2, and 3, and the 2017 World Championships.…”
Section: Kinetics and Kinematics Of The Kayakmentioning
confidence: 99%