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自动量化 NN 间期记录的 Poincaré 图不对称性。

Automatic quantification of the Poincaré plot asymmetry of NN-interval recordings.

机构信息

Department of Internal Medicine, Division of Cardiology, Otto-von-Guericke University Magdeburg, Leipziger Str. 44, 39130 Magdeburg, Germany.

出版信息

Physiol Meas. 2010 Mar;31(3):395-413. doi: 10.1088/0967-3334/31/3/008. Epub 2010 Feb 10.

Abstract

We investigated the electrocardiographic substrate underlying the asymmetry of Poincaré plots of NN intervals (NNI) on different time scales and conceived a method for automatic asymmetry quantification (AQUA), which is based on the observation that left-sided comet asymmetry (A(L)) is due to sudden increases (SIC), and right-sided comet asymmetry (A(R)) to sudden decreases (SDC) of cycle lengths, and that both the SIC and SDC episodes were consistently associated with significant changes in P-wave magnitude and/or polarity indicating a shift in dominant pacemaker activity. The performance of AQUA was validated in 15 endurance trained athletes (age: 29 +/- 6 years) exhibiting marked comet asymmetry, and 11 untrained controls (age: 40 +/- 15 years) with symmetrical comet patterns. SICs were reliably identified by AQUA with a sensitivity of 0.950 and a specificity of 0.985, and SDCs with a sensitivity of 0.952 and a specificity of 0.965. In the athletes, the magnitude of SICs exceeded that of SDCs significantly, and the occurrence of SICs and SDCs was closely correlated with periods of increased efferent vagal activity. It is concluded that AQUA is a useful tool for the identification and quantification of specific aspects of nonlinear heart rate dynamics manifesting as Poincaré plot asymmetries.

摘要

我们研究了不同时间尺度上 NN 间期(NNI) Poincaré 图不对称性的心电图基质,并构思了一种自动不对称量化(AQUA)的方法,该方法基于以下观察结果:左侧彗星不对称性(A(L))是由于周期长度的突然增加(SIC),而右侧彗星不对称性(A(R))是由于周期长度的突然减少(SDC),并且 SIC 和 SDC 发作都与 P 波幅度和/或极性的显著变化相关,表明主导起搏器活动发生了变化。AQUA 的性能在 15 名耐力训练的运动员(年龄:29 ± 6 岁)中得到了验证,这些运动员表现出明显的彗星不对称性,以及 11 名未经训练的对照者(年龄:40 ± 15 岁),彗星模式对称。AQUA 可靠地识别了 SIC,其敏感性为 0.950,特异性为 0.985,而 SDC 的敏感性为 0.952,特异性为 0.965。在运动员中,SIC 的幅度明显超过 SDC 的幅度,并且 SIC 和 SDC 的发生与传出迷走神经活动增加的时期密切相关。结论是,AQUA 是识别和量化表现为 Poincaré 图不对称的非线性心率动力学特定方面的有用工具。

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