Turner T R, Thomson P J, Cameron M A
Department of Mathematics and Statistics, University of New Brunswick, Fredericton, Canada.
IEEE Trans Biomed Eng. 1993 Sep;40(9):985-9. doi: 10.1109/10.245621.
The problem of classifying ventricular arrhythmias from intracardial electrograms is considered. Standard statistical discrimination procedures are applied using a simple parametric model for the shape of the pulse near its peak. This approach makes simultaneous use of the model parameters, has well known statistical properties, and involves computations that can be carried out efficiently. Preliminary analyses of real data sets, using both linear and quadratic discrimination functions, yield promising results.
研究了从心内电图中对室性心律失常进行分类的问题。使用脉冲峰值附近形状的简单参数模型应用标准统计判别程序。这种方法同时利用了模型参数，具有众所周知的统计特性，并且涉及可以高效执行的计算。使用线性和二次判别函数对真实数据集进行的初步分析产生了有希望的结果。
