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Advances of the reverse lactate threshold test: Non-invasive proposal based on heart rate and effect of previous cycling experience

机译:反向乳酸阈值测试的进步:基于心率和前骑自行车经验的效果的非侵入性提案

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摘要

Our first aim was to compare the anaerobic threshold (AnT) determined by the incremental protocol with the reverse lactate threshold test (RLT), investigating the previous cycling experience effect. Secondarily, an alternative RLT application based on heart rate was proposed. Two groups (12 per group-according to cycling experience) were evaluated on cycle ergometer. The incremental protocol started at 25 W with increments of 25 W at each 3 minutes, and the AnT was calculated by bissegmentation, onset of blood lactate concentration and maximal deviation methods. The RLT was applied in two phases: a) lactate priming segment; and b) reverse segment; the AnT (AnTRLT) was calculated based on a second order polynomial function. The AnT from the RLT was calculated based on the heart rate (AnTRLT-HR) by the second order polynomial function. In regard of the Study 1, most of statistical procedures converged for similarity between the AnT determined from the bissegmentation method and AnTRLT. For 83% of non-experienced and 75% of experienced subjects the bias was 4% and 2%, respectively. In Study 2, no difference was found between the AnTRLT and AnTRLT-HR. For 83% of non-experienced and 91% of experienced subjects, the bias between AnTRLT and AnTRLT-HR was similar (i.e. 6%). In summary, the AnT determined by the incremental protocol and RLT are consistent. The AnT can be determined during the RLT via heart rate, improving its applicability. However, future studies are required to improve the agreement between variables.
机译:我们的第一个目的是将由增量协议确定的Anaerobic阈值(Ant)与反向乳酸阈值测试(RLT)进行比较,研究以前的循环经验效果。其次,提出了一种基于心率的替代RLT应用。在循环测力计上评估了两组(每组12次 - 根据循环经验)。增量方案在25W以25W开始,每3分钟的增量为25W,并通过双段,血液乳酸浓度和最大偏差方法计算蚂蚁。 RLT施用于两阶段:a)乳酸灌注段;和b)反向部分;基于二阶多项式函数计算ANT(ANTRLT)。通过二阶多项式函数基于心率(ANTRLT-HR)计算来自RLT的蚂蚁。关于研究1,大多数统计程序会融合来自双击方法和antrlt的蚁之间的相似性。对于83%的非经验丰富的和75%的经验性受试者分别为4%和2%。在研究2中,antrlt和antrlt-hr之间没有发现差异。对于83%的非经验丰富和91%的经验者,Antrlt和Antrlt-HR之间的偏差相似(即6%)。总之,由增量协议和RLT确定的ant是一致的。可以通过心率在RLT期间确定蚂蚁,提高其适用性。但是,未来的研究是为了改善变量之间的协议。

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