Suppr超能文献

影响赛艇运动表现的生物力学因素研究。

Investigation of biomechanical factors affecting rowing performance.

作者信息

Baudouin Alexandre, Hawkins David

机构信息

Biomedical Engineering Graduate Group, and Human Performance Laboratory, University of California, Davis, CA 95616, USA

出版信息

J Biomech. 2004 Jul;37(7):969-76. doi: 10.1016/j.jbiomech.2003.11.011.

Abstract

It was hypothesized that a crew's rowing performance was predictable based on their total propulsive power, synchrony (a real-time comparison of rower propulsive force magnitudes) and total drag contribution (a measure of the rowers' effect on shell drag forces during the recovery), quantities calculated from individual rower's force-time profiles and recovery kinematics. A rowing pair was equipped with transducers to gather shell velocity, propulsive blade force, oar angular position and seat displacement. Eight subjects (four port, four starboard) participated in two rounds of data collection. The first round pairings were random, while the second round pairings were assigned based on Round 1 results. Regression analysis and ANCOVA were used to test the validity of assumptions inherent in the predictive model and, if applicable, explore a linear model predicting rowing performance based on total propulsive power, synchrony and total drag contribution. Total propulsive power, synchrony and total drag contribution were correlated and further were affected by pairing, violating assumptions inherent in the linear model. The original hypothesis was not supported based on these violations. Important findings include (1) performance cannot be predicted using the simple linear model proposed, (2) rowers' force-time profiles are repeatable between trials, with some but not all rowers adapting their force-time profile dependent on their pair partner, presumably in an effort to increase the level of synchrony between the two, and (3) subtle biomechanical factors may play a critical role in performance.

摘要

研究假设,基于船员的总推进力、同步性(划船者推进力大小的实时比较)和总阻力贡献(划船者在恢复过程中对船壳阻力影响的一种度量),可以预测船员的划船表现,这些量是根据单个划船者的力 - 时间曲线和恢复运动学计算得出的。一对划船者配备了传感器,以收集船壳速度、推进桨叶力、桨角位置和座位位移。八名受试者(四名左舷,四名右舷)参与了两轮数据收集。第一轮分组是随机的,而第二轮分组是根据第一轮结果进行分配的。使用回归分析和协方差分析来检验预测模型中固有假设的有效性,并在适用时探索基于总推进力、同步性和总阻力贡献预测划船表现的线性模型。总推进力、同步性和总阻力贡献之间存在相关性,并且进一步受到配对的影响,这违反了线性模型中固有的假设。基于这些违反情况,最初的假设未得到支持。重要发现包括:(1)使用所提出的简单线性模型无法预测表现;(2)划船者的力 - 时间曲线在试验之间是可重复的,一些但不是所有划船者会根据他们的配对伙伴调整其力 - 时间曲线,大概是为了提高两人之间的同步水平;(3)微妙的生物力学因素可能在表现中起关键作用。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验