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网球运动中的能量消耗:初步的视频分析和代谢模型方法。

Energy expenditure during tennis play: a preliminary video analysis and metabolic model approach.

机构信息

ASTB (Sport-Occupational Activities-Biology-Association), Performance Laboratory, Lyon-Chassieu, France.

出版信息

J Strength Cond Res. 2011 Nov;25(11):3022-8. doi: 10.1519/JSC.0b013e318234e613.

DOI:10.1519/JSC.0b013e318234e613
PMID:21904239
Abstract

The aim of this study was to estimate, using video analysis, what proportion of the total energy expenditure during a tennis match is accounted for by aerobic and anaerobic metabolism, respectively. The method proposed involved estimating the metabolic power (MP) of 5 activities, which are inherent to tennis: walking, running, hitting the ball, serving, and sitting down to rest. The energy expenditure concerned was calculated by sequencing the activity by video analysis. A bioenergetic model calculated the aerobic energy expenditure (EEO2mod) in terms of MP, and the anaerobic energy expenditure was calculated by subtracting this (MP - EEO2mod). Eight tennis players took part in the experiment as subjects (mean ± SD: age 25.2 ± 1.9 years, weight 79.3 ± 10.8 kg, VO2max 54.4 ± 5.1 ml·kg(-1)·min(-1)). The players started off by participating in 2 games while wearing the K4b2, with their activity profile measured by the video analysis system, and then by playing a set without equipment but with video analysis. There was no significant difference between calculated and measured oxygen consumptions over the 16 games (p = 0.763), and these data were strongly related (r = 0.93, p < 0.0001). The EEO2mod was quite weak over all the games (49.4 ± 4.8% VO2max), whereas the MP during points was up to 2 or 3 times the VO2max. Anaerobic metabolism reached 32% of the total energy expenditure across all the games 67% for points and 95% for hitting the ball. This method provided a good estimation of aerobic energy expenditure and made it possible to calculate the anaerobic energy expenditure. This could make it possible to estimate the metabolic intensity of training sessions and matches using video analysis.

摘要

本研究旨在通过视频分析估算网球比赛中总能量消耗分别由有氧代谢和无氧代谢提供的比例。该方法涉及估计 5 种固有网球活动的代谢功率 (MP):行走、跑动、击球、发球和坐下休息。通过视频分析对活动进行排序来计算所涉及的能量消耗。生物能量模型根据 MP 计算有氧能量消耗 (EEO2mod),通过减去此值(MP - EEO2mod)来计算无氧能量消耗。8 名网球运动员作为受试者参与了实验(平均 ± 标准差:年龄 25.2 ± 1.9 岁,体重 79.3 ± 10.8 千克,VO2max 54.4 ± 5.1 ml·kg(-1)·min(-1))。运动员穿着 K4b2 参加了 2 场比赛,其活动情况由视频分析系统测量,然后在没有设备但有视频分析的情况下进行了 1 场比赛。计算出的耗氧量与 16 场比赛中的实测耗氧量没有显著差异(p = 0.763),并且这些数据之间存在很强的相关性(r = 0.93,p < 0.0001)。所有比赛中 EEO2mod 都非常弱(49.4 ± 4.8% VO2max),而在比赛中得分时的 MP 最高可达 2 或 3 倍的 VO2max。无氧代谢占所有比赛总能量消耗的 32%,其中得分占 67%,击球占 95%。该方法可以很好地估计有氧能量消耗,并计算出无氧能量消耗。这使得使用视频分析来估计训练和比赛的代谢强度成为可能。

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