Karmakar Chandan K, Gubbi Jayavardhana, Khandoker Ahsan H, Palaniswami Marimuthu
ISSNIP, Department of Electrical and Electronic Engineering, The University of Melbourne, VIC, Australia.
J Electrocardiol. 2010 Nov-Dec;43(6):719-24. doi: 10.1016/j.jelectrocard.2010.09.001.
The Poincaré map is a visual technique to recognize the hidden correlation patterns of a time series signal. The standard descriptors of the Poincaré map are used to quantify the plot that measures the gross variability of the time series data. However, the problem lies in capturing temporal information of the plot quantitatively. In this article, we propose a new formulation for calculating the standard descriptors SD1 and SD2 from localized measures SD1^(w) and SD2^(w). To justify the importance of the temporal measure, SD1^(w), SD2^(w) are calculated for the 2 case studies (normal sinus rhythm [NSR] vs congestive heart failure and NSR vs arrhythmia) and are compared with the performance using the overall measures (SD1, SD2). Using overall SD1, receiver operating characteristic areas of 0.72 and 0.86 were obtained for NSR vs congestive heart failure and NSR vs arrhythmia, and using the proposed method resulted in 0.82 and 0.89. Because we have shown that the overall SD1 and SD2 are functions of the respective localized measures SD1^(w) and SD2^(w), we can conclude that use of localized measure provides equal or higher performance in pathology detection compared with the overall SD1 or SD2.
庞加莱映射是一种用于识别时间序列信号隐藏相关模式的可视化技术。庞加莱映射的标准描述符用于量化测量时间序列数据总体变异性的图。然而，问题在于定量捕获该图的时间信息。在本文中，我们提出了一种新的公式，用于从局部测量值SD1^(w)和SD2^(w)计算标准描述符SD1和SD2。为了证明时间测量的重要性，针对两个案例研究（正常窦性心律[NSR]与充血性心力衰竭以及NSR与心律失常）计算了SD1^(w)、SD2^(w)，并将其性能与使用总体测量值（SD1、SD2）的性能进行了比较。使用总体SD1，NSR与充血性心力衰竭以及NSR与心律失常的受试者工作特征面积分别为0.72和0.86，而使用所提出的方法则得到0.82和0.89。由于我们已经表明总体SD1和SD2是各自局部测量值SD1^(w)和SD2^(w)的函数，因此我们可以得出结论，与总体SD1或SD2相比，使用局部测量值在病理检测中提供了同等或更高的性能。
