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On the determination of ventilatory threshold and respiratory compensation point via respiratory frequency.

机译:通过呼吸频率确定通气阈值和呼吸补偿点。

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This study examined the validity of a quantitative respiratory frequency (f(R)) analysis to detect the ventilatory threshold (theta(Vent)) and respiratory compensation point (RCP). Thirty-six amateur competitive cyclists completed a maximal graded exercise test on an electromagnetically-braked cycle ergometer. theta(Vent) and RCP were determined using multiple gas exchange criteria and by f(R) analysis (theta(Vent)f(R) and RCP(f(R))), employing an iterative least-squares linear regression technique. Fifteen subjects were excluded from the analyses due to a low signal-to-noise ratio and/or high risk for pseudo-threshold resulting from hyperventilation early in the exercise protocol. A Bland-Altman procedure for inter-analysis comparison completed on the remaining participants' data (n=21; age=29+/-7 years; height=177+/-9 cm; weight=76.0+/-15.8 kg; VO(2max)=4.415+/-0.971 lmin(-1); 58.7+/-10.7 ml kg(-1) min(-1)) revealed mean bias+/-95% Limits of Agreement (LOA) of 1.53+/-50.2 W for theta(Vent) and theta(Vent)f(R). The same inter-anlysis comparison (n=21) for RCP and RCP(f(R)) resulted in a mean bias+/-LOA of 12.6+/-26.9 W. The analysis techniques in the present investigation revealed substantial limits of agreement and/or bias for all estimations, and these data indicated f(R) analyses were unsatisfactory to determine theta(Vent) and RCP in trained cyclists.
机译:这项研究检查了定量呼吸频率(f(R))分析以检测通气阈值(theta(Vent))和呼吸补偿点(RCP)的有效性。三十六名业余竞技自行车手通过电磁制动的自行车测功机完成了最大等级的运动测试。使用多种气体交换标准并通过f(R)分析(theta(Vent)f(R)和RCP(f(R)))确定theta(Vent)和RCP(采用迭代最小二乘线性回归技术)。由于低信噪比和/或运动方案早期因过度换气导致假阈值的高风险,因此将15名受试者排除在分析之外。根据其余参与者的数据完成了一项Bland-Altman程序,用于进行内部分析比较(n = 21;年龄= 29 +/- 7岁;身高= 177 +/- 9 cm;体重= 76.0 +/- 15.8 kg; VO (2max)= 4.415 +/- 0.971 lmin(-1); 58.7 +/- 10.7 ml kg(-1)min(-1))显示平均偏差+/- 95%协议限制(LOA)为1.53 +/- theta(Vent)和theta(Vent)f(R)的功率为50.2W。对于RCP和RCP(f(R)),相同的分析间比较(n = 21)导致平均偏差+/- LOA为12.6 +/- 26.9W。本研究中的分析技术显示出一致性和/或所有估计值都有偏差,这些数据表明f(R)分析无法确定训练有素的自行车手的theta(Vent)和RCP。

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