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首页> 外文期刊>Frontiers in Physiology >Mean Normalized Gain: A New Method for the Assessment of the Aerobic System Temporal Dynamics during Randomly Varying Exercise in Humans
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Mean Normalized Gain: A New Method for the Assessment of the Aerobic System Temporal Dynamics during Randomly Varying Exercise in Humans

机译:平均归一化增益:一种评估人类随机运动中有氧系统时间动态的新方法

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The temporal dynamics of the oxygen uptake ( V ˙ O 2 ) during moderate exercise has classically been related to physical fitness and a slower V ˙ O 2 dynamics was associated with deterioration of physical health. However, methods that better characterize the aerobic system temporal dynamics remain challenging. The purpose of this study was to develop a new method (named mean normalized gain, MNG ) to systematically characterize the V ˙ O 2 temporal dynamics. Eight healthy, young adults (28 ± 6 years old, 175 ± 7 cm and 79 ± 13 kg) performed multiple pseudorandom binary sequence cycling protocols on different days and time of the day. The MNG was calculated as the normalized amplitude of the V ˙ O 2 signal in frequency-domain. The MNG was validated considering the time constant τ obtained from time-domain analysis as reference. The intra-subject consistency of the MNG was checked by testing the same participant on different days and times of the day. The MNG and τ were strongly negatively correlated ( r = ?0.86 and p = 0.005). The MNG measured on different days and periods of the day was similar between conditions. Calculations for the MNG have inherent filtering characteristics enhancing reliability for the evaluation of the aerobic system temporal dynamics. In conclusion, the present study successfully validated the use of the MNG for aerobic system analysis and as a potential complementary tool to assess changes in physical fitness.
机译:中等运动期间摄氧的时间动态(V˙O 2)经典地与身体健康有关,而较慢的V˙O 2动力学则与身体健康恶化有关。然而,更好地表征有氧系统时间动态的方法仍然具有挑战性。这项研究的目的是开发一种新的方法(称为平均归一化增益,MNG)来系统地表征V˙O2时空动力学。八名健康的年轻人(28±6岁,175±7 cm和79±13 kg)在一天的不同日期和时间进行了多个伪随机二元序列循环方案。 MNG计算为频域中V˙O 2信号的归一化幅度。考虑从时域分析获得的时间常数τ,对MNG进行了验证。通过在一天的不同日期和时间测试同一参与者来检查MNG的对象内部一致性。 MNG和τ呈极显着负相关(r = 0.86,p = 0.005)。不同条件下,在不同日期和一天中不同时段测得的MNG相似。 MNG的计算具有固有的过滤特性,从而增强了有氧系统时间动力学评估的可靠性。总而言之,本研究成功地验证了MNG在有氧系统分析中的应用,并作为评估身体适应性变化的潜在补充工具。

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