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An Attempt to Predict Changes in Heart Rate Variability in the Training Intensification Process among Cyclists

机译:试图预测骑自行车者训练强化过程中​​心率变异性的变化

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摘要

Individual changes in resting heart rate variability (HRV) parameters were assessed in seven Polish cyclists during a training process consisting of: a six-week period (P1) of predominantly low- and moderate-intensity training (L-MIT) and a six-week period (P2) where the proportion of high-intensity interval training (HIT) increased. Daily recorded HRV parameters included high-frequency spectral power (HF), square root of the mean squared difference between successive normal-to-normal RR intervals (RMSSD), and standard deviation of normal-to-normal RR intervals (SDNN). In each training microcycle, the average values of HFav, RMSSDav, and SDNNav were calculated individually for each participant. In three cyclists, HF was higher in P2 compared to P1, whereas in one cyclist, HF was higher in P1 than in P2. Each of these four cyclists presented an individual correlation between the average daily duration HIT effort in training microcycles (HITav) and HFav. Cyclists with low baseline values of HRV parameters showed increased activity of the parasympathetic nervous system, while in the cyclist with high baseline values of HRV parameters, an opposite change was observed. In conclusion, changes in resting HRV parameters between period P1 and P2 can be individualised. In the investigated group, it was possible to predict how HRV would change as a result of training intensification on the basis of HRV baseline values.
机译:在培训过程中,在七个波兰骑自行车者中评估了休息心率变异性(HRV)参数的个体变化:主要是低于和中等强度训练(L-MIT)的六周时间(P1)和六个 - 周期(P2)高强度间隔培训(命中)的比例增加。每日记录的HRV参数包括高频光谱功率(H​​F),平均平均平均差异在连续的正常到正常的RR间隔(RMSD)之间,以及正常到正常的RR间隔的标准偏差(SDNN)。在每个训练微循环中,针对每个参与者单独计算HFAV,RMSSDAV和SDNNAV的平均值。在三个骑自行车的人中,与P1相比,HF较高,而在一个骑自行车的人中,P1的HF高于P2。这四个骑自行车者中的每一个都在训练微循环(HitaV)和HFAV中的平均日常持续时间之间的个人相关性。 HRV参数低基线值的骑自行车者显示出副交感神经系统的活性增加,而在HRV参数高基线值的骑自行车者中,观察到相反的变化。总之,可以个性化P1和P2之间静态HRV参数的变化。在调查组中,可以预测基于HRV基线值的培训强化的结果如何改变。

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