Smith Anne-Louise, Reynolds Karen
Flinders Biomedical Engineering, Flinders Medical Centre, Australia.
Australas Phys Eng Sci Med. 2006 Mar;29(1):97-101.
Multiple indices have been developed to characterise the nonperiodic behaviour of heart rate variability displayed in Poincaré plots, particularly with R-R interval data collected over 24hr periods. Some of these indices have been compared to statistical time-domain indices and some to spectral indices, while others have been used to separate data sets such as cardiac abnormalities. A survey of published indices for Poincaré plot analysis was made covering literature through the 1990's to the present day. Statistical time-domain indices and the surveyed Poincaré indices were used to analyse the same data set of R-R intervals that included: supine, standing, deep breathing, light exercise and recovery. This study examined these Poincaré indices and determined their correlations with time-domain indices, and investigated how the correlations are affected by analysing shorter time periods. Further investigation of the Poincaré indices that do not correlate strongly with SD or rMSSD may prove interesting in determining dynamic characteristics of cardiac nervous system activity.
已经开发了多个指标来表征庞加莱图中显示的心率变异性的非周期性行为，特别是对于24小时内收集的R-R间期数据。其中一些指标已与统计时域指标进行比较，一些与频谱指标进行比较，而其他指标则用于区分数据集，如心脏异常情况。对已发表的用于庞加莱图分析的指标进行了调查，涵盖了从20世纪90年代到现在的文献。统计时域指标和所调查的庞加莱指标用于分析同一组R-R间期数据集，该数据集包括：仰卧、站立、深呼吸、轻度运动和恢复状态。本研究检查了这些庞加莱指标，并确定了它们与时域指标的相关性，并研究了分析较短时间段如何影响这些相关性。对与标准差（SD）或平方根连续差值的均值（rMSSD）相关性不强的庞加莱指标进行进一步研究，可能有助于确定心脏神经系统活动的动态特征。
