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铁人三项转换研究:量化自行车 - 跑步转换后跑步运动模式和精度的差异。

Triathlon transition study: quantifying differences in running movement pattern and precision after bike-run transition.

作者信息

Weich Christian, Jensen Randall L, Vieten Manfred

机构信息

a Department of Sports Science , University of Constance , Constance , Germany.

b Department of Health, Physical Education & Recreation , Northern Michigan University , Marquette , MI , USA.

出版信息

Sports Biomech. 2019 Apr;18(2):215-228. doi: 10.1080/14763141.2017.1391324. Epub 2017 Nov 15.

Abstract

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.

摘要

各种出版物都讨论了铁人三项比赛中的跑步与单独跑步之间的差异。然而,那些方法,如分析步幅特征或地面接触时间,缺乏定量区分细微跑步差异的能力。吸引子方法可以用来克服这些缺点。目的是通过比较在先前骑行训练后进行的5000米跑步(TRun)和相同距离的单独跑步(IRun),检测运动员跑步模式(δM)和运动精度(δD)的差异。参与者在跑道和固定训练器上完成这些条件,允许使用他们自己的自行车来模拟奥运会铁人三项比赛。在每次跑步过程中,使用附着在脚踝上的传感器收集三维加速度数据。结果表明,在运动员找到节奏之前的最初五分钟内,两种情况下吸引子参数(δM和δD)都会升高。这产生了一个新的视角,因为无论在骑行训练后跑步还是没有预负荷的情况下跑步,运动员都需要一定时间来适应跑步动作。教练必须将这个因素作为微调配速和表现的另一种工具。此外,吸引子方法是一种在运动环境中更深入了解人类周期性运动的新颖方法。

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