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不同生理条件下心率动力学的广义庞加莱图分析:训练有素的男性与未训练的男性。

Generalized Poincaré plots analysis of heart period dynamics in different physiological conditions: Trained vs. untrained men.

机构信息

Institute of Biophysics, Faculty of Medicine, University of Belgrade, Belgrade, Serbia.

Laboratory of Radiobiology and Molecular Genetics, Institute of Nuclear Sciences "Vinča", University of Belgrade, Belgrade, Serbia.

出版信息

PLoS One. 2019 Jul 5;14(7):e0219281. doi: 10.1371/journal.pone.0219281. eCollection 2019.

Abstract

BACKGROUND

Recently we proposed a new method called generalized Poincaré plot (gPp) analysis which gave a new insight into the pattern of neurocaridac control. In this study we examined potential of gPp method to reveal changes in cardiac neural control in young athletes during three conditions: supine rest, running and relaxation, with respect to untrained subjects.

METHODS

This method is based on the quantification of Pearson's correlation coefficients r(j, k), between symmetrical (j = k) and asymmetrical summed j previous and k following RR intervals up to the 100th order (j,k≤100).

RESULTS

Differences between groups were obtained at all levels of this analysis. The main result is the significant difference of NAI, normalized index of asymmetry, between groups in running, which was originated in different positions of local maxima of r(j, k). Compared with untrained subjects, these findings indicate modified neural control and altered intrinsic heart rate behavior in athletes which are related to some kind of memory mechanism between RR intervals.

CONCLUSION

Obtained results provide great potential of gPp method analysis in the recognition of changes in neurocardiac control in healthy subjects. Further studies are needed for identification of altered cardiac regulatory mechanisms whose background may be useful in the evaluation of genesis of athletes neurocardiovascular pathology.

摘要

背景

最近,我们提出了一种新的方法,称为广义庞加莱图(gPp)分析,该方法为神经心控模式提供了新的见解。在这项研究中,我们研究了 gPp 方法在三种情况下(仰卧休息、跑步和放松)揭示年轻运动员心脏神经控制变化的潜力,与未训练的受试者相比。

方法

该方法基于量化 Pearson 相关系数 r(j, k),即对称(j = k)和不对称的总和,前 j 个和后 k 个 RR 间隔达到第 100 阶(j,k≤100)。

结果

在该分析的所有水平上都获得了组间差异。主要结果是在跑步时,NAI(不对称归一化指数)在组间存在显著差异,这源于 r(j, k)的局部最大值的不同位置。与未训练的受试者相比,这些发现表明运动员的神经控制发生了改变,固有心率行为发生了改变,这与 RR 间隔之间的某种记忆机制有关。

结论

获得的结果为 gPp 方法分析在识别健康受试者中心神经控制变化方面提供了巨大潜力。需要进一步的研究来确定改变的心脏调节机制,其背景可能有助于评估运动员神经心血管病理学的发生。

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