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在不同踏频骑行过程中,对“内在功率”机械估计的一种生理对应情况。

A physiological counterpoint to mechanistic estimates of "internal power" during cycling at different pedal rates.

作者信息

Hansen Ernst Albin, Jørgensen Lars Vincents, Sjøgaard Gisela

机构信息

Institute of Sports Science and Clinical Biomechanics, University of Southern Denmark, Campusvej 55, 5230 Odense, Denmark.

出版信息

Eur J Appl Physiol. 2004 Apr;91(4):435-42. doi: 10.1007/s00421-003-0997-x. Epub 2003 Nov 25.

DOI:10.1007/s00421-003-0997-x
PMID:14639482
Abstract

Reported values of "internal power" (IP) during cycling, generated by the muscles to overcome energy changes of moving body segments, are considerably different for various biomechanical models, reflecting the different criteria for estimation of IP. The present aim was to calculate IP from metabolic variables and to perform a physiological evaluation of five different kinematic models for calculating IP in cycling. Results showed that IP was statistically different between the kinematic models applied. IP based on metabolic variables (IP(met)) was 15, 41, and 91 W at 61, 88, and 115 rpm, respectively, being remarkably close to the kinematic estimate of one model (IP(Willems-COM): 14, 43, and 95 W) and reasonably close to another kinematic estimate (IP(Winter): 8, 29, and 81 W). For all kinematic models there was no significant effect of performing 3-D versus 2-D analyses. IP increased significantly with pedal rate - leg movements accounting for the largest fraction. Further, external power (EP) affected IP significantly such that IP was larger at moderate than at low EP at the majority of the pedal rates applied but on average this difference was only 8%.

摘要

在骑行过程中,由肌肉产生以克服身体运动部分能量变化的“内部功率”(IP)的报告值,对于各种生物力学模型而言有很大差异,这反映了估算IP的不同标准。当前的目的是根据代谢变量计算IP,并对五种不同的运动学模型在骑行中计算IP进行生理学评估。结果表明,所应用的运动学模型之间的IP在统计学上存在差异。基于代谢变量的IP(IP(met))在61、88和115转/分钟时分别为15、41和91瓦,与一种模型的运动学估计值(IP(Willems-COM):14、43和95瓦)非常接近,与另一种运动学估计值(IP(Winter):8、29和81瓦)也相当接近。对于所有运动学模型,进行三维分析与二维分析没有显著影响。IP随着踏板速率显著增加——腿部运动占比最大。此外,外部功率(EP)对IP有显著影响,使得在大多数应用的踏板速率下,中等EP时的IP大于低EP时的IP,但平均而言这种差异仅为8%。

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