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使用智能曲柄进行短期训练对骑行过程中骑行工作分配和功率输出的影响。

Effects of short-term training using SmartCranks on cycle work distribution and power output during cycling.

作者信息

Böhm Harald, Siebert Stefan, Walsh Mark

机构信息

Department of Sports Equipment and Materials, Faculty of Sport Science, University of Technology Munich, Connollystr 32, 80809 Munich, Germany.

出版信息

Eur J Appl Physiol. 2008 May;103(2):225-32. doi: 10.1007/s00421-008-0692-z. Epub 2008 Feb 14.

Abstract

SmartCranks use a free running bearing to promote independent pedal work by each leg during cycling. This system is designed for training the upstroke phase during cycling. The effects of training with SmartCranks on the power output (PO) and on cycle work distribution at the anaerobic threshold and the maximum power level were examined. Twenty male, non-professional cyclists were randomly assigned into intervention and control group, training 5 weeks with SmartCranks and conventional cranks, respectively. Before and after the training period the subjects performed an incremental test to exhaustion. Lactate was measured to determine the individual anaerobic threshold (IAT) and forces at the pedal were recorded to quantify changes in the work distribution over the full revolution. We observed no significant statistical difference for peak power (PO; 333.3+/-32.8 W vs. 323.3+/-21.8 W) and PO at IAT (229.6+/-30.1 W vs. 222.7+/-25.2 W) for SmartCrank and control conditions, respectively (P>0.05). However, we did observe that work distribution in the downward phase was significantly reduced in the SmartCranks training group at peak PO (from 70.0+/-4.9% to 64.3+/-5.8%; P<0.05). Although the possible implications of the change in the work distribution of sectors are not known, for the success in cycling performance-indicated by the PO-training with the SmartCranks was not more advantageous than training with conventional bicycle cranks.

摘要

智能曲柄采用自由转动轴承,以促进骑行过程中每条腿独立进行蹬踏动作。该系统专为训练骑行过程中的上冲程阶段而设计。研究了使用智能曲柄训练对无氧阈值和最大功率水平下的功率输出(PO)以及骑行做功分布的影响。20名男性非职业自行车运动员被随机分为干预组和对照组,分别使用智能曲柄和传统曲柄进行5周训练。在训练期前后,受试者进行递增负荷运动直至力竭。测量乳酸以确定个体无氧阈值(IAT),并记录踏板力以量化整圈做功分布的变化。我们观察到,在智能曲柄和对照条件下,最大功率(PO;分别为333.3±32.8W和323.3±21.8W)以及无氧阈值时的PO(分别为229.6±30.1W和222.7±25.2W)均无显著统计学差异(P>0.05)。然而,我们确实观察到,在最大功率时,智能曲柄训练组向下阶段的做功分布显著降低(从70.0±4.9%降至64.3±5.8%;P<0.05)。尽管扇形做功分布变化的潜在影响尚不清楚,但就骑行表现的成功而言——由功率输出表明——使用智能曲柄训练并不比使用传统自行车曲柄训练更具优势。

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