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Adding Two Dimensions to Heart Rate Variability Research

机译:在心率变异性研究中增加两个维度

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Introduction: Heart rate variability (HRV) analysis tools have been mainly available for analysis of human electrocardiographic derived heart rate. We explore extending HRV analysis to two additional dimensions: (1) analysis across multiple mammalian species and (2) analysis across different levels of integration for example sinoatrial tissue. Methods: We analyzed the beating rate variability (BRV) across the two additional dimensions using the PhysioZoo computer program that we recently introduced. We used published databases of electrocardiograms from four mammal types: human $(n=18)$, dog $(n=17)$, rabbit $(n=4)$ and mouse $(n=8)$. We computed the BRV measures for each. We also show how the PhysioZoo program can be used for the analysis of sinoatrial node tissue BRV. Results: The study of typical mammalian heart and respiration rates (obtained from the dominant high frequency peak) revealed a linear relationship between these two quantities. Analysis of the rabbit sinoatrial node tissue BRV showed that it had reduced overall variability when compared to in vivo heart BRV.
机译:简介:心率变异性(HRV)分析工具主要用于分析人类心电图得出的心率。我们探索将HRV分析扩展到两个附加维度:(1)跨多种哺乳动物物种的分析和(2)跨不同整合水平(例如窦房组织)的分析。方法:我们使用最近引入的PhysioZoo计算机程序分析了另外两个维度上的跳动率变异性(BRV)。我们使用了来自以下四种哺乳动物类型的心电图的已公开数据库: $(n = 18)$ , 狗 $(n = 17)$ , 兔子 $(n = 4)$ 和鼠标 $(n = 8)$ 。我们为每个计算了BRV量度。我们还展示了PhysioZoo程序如何用于分析窦房结组织BRV。结果:对典型的哺乳动物心脏和呼吸频率(从占主导地位的高频峰获得)的研究表明,这两个量之间存在线性关系。对兔窦房结组织BRV的分析表明,与体内心脏BRV相比,其总体变异性降低。

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