Statistical modelling of the differences between successive R-R intervals.
Statistical modelling of the differences between successive R-R intervals.
复制标题
连续 R-R 间隔之间差异的统计模型。
DOI：
10.1002/sim.1948
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发表时间：
2005
期刊：
影响因子：
--
通讯作者：
Berntson,GaryG
中科院分区：
文献类型：
--
作者：
Mandrekar,SumithraJ;Nagaraja,HaikadyN;Berntson,GaryG
Understanding the behaviour of R–R interval data and its successive differences is critical to the dynamics of cardiac control. Several time domain measures that quantify R–R interval variability have important clinical significance in terms of risk stratification and evaluating the effectiveness of treatment procedures. The present approach at examining the distributions of successive beat‐to‐beat differences of R–R interval data from different populations and under different conditions (baseline and reaction times) provides a valuable insight into their previously unexplored distributional properties. In particular, our analysis reveals that the successive differences have non‐normal statistical distributions (a contradiction to the commonly used assumption of normality), and the absolute successive R–R interval differences approximately follows a Weibull distribution. As an illustration of the utility of this approach, we explore the statistical properties of the time domain measure: root mean square successive difference, study the association between the Weibull scale parameter estimate and respiratory sinus arrhythmia, and propose improvements in artifact detection algorithms. Copyright © 2004 John Wiley & Sons, Ltd.
