心率的Poincare散点图量化指标

Poincare散点图是非线性研究的重要方法之一，它可以有效地描述吸引子的形状，以往的研究大多停留在图形样式的角度上，这给研究带来了描述上的不确定和应用上的不便。因此我们在散点图图形基础上提取出四个定量参数，它们是散点图面积、长轴、短轴和角度。并根据心率的散点图特点，研究出较有效的“龟爬行计数法”将四个定量参数在计算机上得到实现。将四个定量参数应用于临床冠脉病变患者的心率变异研究上，发现这四个定量参数可以很好地描述散点图，也具有一定的特异性，提示这有很好的临床应用价值。

A Quantitative Study of Poincare Dispersed-dot Plot for Heart Rate Variability

Poincare dispersed-dot plot is an important nonlinear dynamics method that can effectively describe the attractor shape. Yet studies in the past generally processed the plot in a graphic mode without further discussion on the quantitative indices. That was not suited for clinical application and studies. So, based on the shape of Poincare dispersed-dot plot, we propose a group of quantitative parameters of Poincare dispersed-dot plot: plot square(SQ), long axis (LA), short axis(SA), and angle related to long-axis and short-axis(ALS). According to the characters of the heart rate Poincare dispersed-dot plot, we have posed the 'tortoise crawling and counting' algorithm to get these four quantitative parameters. We have tested these four quantitative parameters with clinical and animal experiment data. The results demonstrate that these four parameters are of certain specificity to heart diseases, indicating that these parameters might be useful for clinical diagnosis.