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健康志愿者的心率不对称性与呼吸比率一致。

Heart rate asymmetry follows the inspiration/expiration ratio in healthy volunteers.

机构信息

Medical Faculty, Heart Institute, University of Pécs, Ifjúság str 13, P´ecs 7624, Hungary.

出版信息

Physiol Meas. 2012 Oct;33(10):1717-31. doi: 10.1088/0967-3334/33/10/1717. Epub 2012 Sep 26.

DOI:10.1088/0967-3334/33/10/1717
PMID:23010911
Abstract

Heart rate asymmetry (HRA) quantifies the uneven distribution of points above and below the identity-line in a Poincaré plot of RR-intervals. The authors investigated if HRA could be influenced by the inspiration/expiration ratio. Healthy volunteers (n = 18) were studied in the supine position at 4.5 s metronome breathing. ECG and breathing signals were recorded for 360 s at each breathing pattern: inspiration controlled, inspiration/expiration controlled (1:2, 1:1, 2:1 ratio), inspiration controlled again. Time domain, frequency domain and Poincaré plot heart rate variability (HRV) analysis with Porta's and Guzik's indices were performed on 300 s tachograms. There were no statistically significant differences in time domain, frequency domain and standard Poincaré plot parameters during the various breathing patterns, whereas Porta's and Guzik's indices significantly rose at 1:1 and 2:1 compared to physiological 1:2 breathing. There were no significant differences in the HRA parameters between the first and the last runs. In our population the inspiration/expiration ratio significantly influenced HRA, but not standard HRV parameters. Positive correlation of Guzik's and Porta's index reflects reciprocal changes of the number of points and their dispersion in the accelerating and decelerating sets of RR-intervals. HRA-analysis can be a promising method for investigating cardiovascular regulation/health particularly with further spreading of wearable monitors.

摘要

心率不对称(HRA)量化了 Poincaré 图中 RR 间期上方和下方点的不均匀分布。作者研究了 HRA 是否会受到呼吸比的影响。健康志愿者(n=18)在仰卧位以 4.5 s 节拍器呼吸进行研究。在每种呼吸模式下,分别记录心电图和呼吸信号 360 s:受控吸气、受控吸气/呼气(1:2、1:1、2:1 比)、再次受控吸气。在 300 s 心动图上进行时域、频域和 Poincaré 图心率变异性(HRV)分析,并使用 Porta 和 Guzik 指数进行分析。在各种呼吸模式下,时域、频域和标准 Poincaré 图参数均无统计学差异,而 Porta 和 Guzik 指数在 1:1 和 2:1 时明显高于生理 1:2 呼吸。HRA 参数在第一和最后一次运行之间无显著差异。在我们的人群中,呼吸比显著影响 HRA,但不影响标准 HRV 参数。Guzik 和 Porta 指数的正相关反映了 RR 间期加速和减速集合中点的数量及其分散度的相互变化。HRA 分析可能是一种有前途的方法,可用于研究心血管调节/健康,特别是随着可穿戴监测器的进一步普及。

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