Triathlon transition study : quantifying differences in running movement pattern and precision after bike-run transition
Autor: | Randall L. Jensen, Manfred Vieten, Christian Weich |
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Jazyk: | angličtina |
Rok vydání: | 2019 |
Předmět: |
Adult
Male Computer science Acceleration Physical Therapy Sports Therapy and Rehabilitation Running 03 medical and health sciences Wearable Electronic Devices Young Adult 0302 clinical medicine Accelerometry Econometrics Humans Orthopedics and Sports Medicine ddc:796 Gait Swimming Transition (fiction) 030229 sport sciences Bicycling Biomechanical Phenomena Movement pattern Time and Motion Studies Physical Endurance Female 030217 neurology & neurosurgery |
Popis: | Various publications discuss the discrepancies of running in triathlons and stand-alone runs. However, those methods, such as analysing step-characteristics or ground-contact time, lack the ability to quantitatively discriminate between subtle running differences. The attractor method can be applied to overcome those shortcomings. The purpose was to detect differences in athletes' running patterns (δM) and movement precision (δD) by comparing a 5,000 m run after a prior cycling session (TRun) with an isolated run over the same distance (IRun). Participants completed the conditions on a track and a stationary trainer, allowing the use of their personal bike to simulate an Olympic triathlon. During each run, three-dimensional acceleration data, using sensors attached to the ankles, were collected. Results showed that both conditions lead to elevated attractor parameters (δM and δD) over the initial five minutes before the athletes found their rhythm. This generates a new perspective because independent of running after a bike session or without preload, an athlete needs certain time to adjust to the running movement. Coaches must consider this factor as another tool to fine-tune pacing and performance. Moreover, the attractor method is a novel approach to gain deeper insight into human cyclic motions in athletic contexts. published |
Databáze: | OpenAIRE |
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