基于窗口斜率表示法的心电波形相似性分析

ECG waveform similarity analysis based on window-slope representation

针对心电波形形态相似度高和分类困难的问题,提出一种新的心电波形特征表示方法———窗口斜率法。该方法对心电波形在平面内进行窗口划分,以每个窗口内最大最小幅值差与窗口宽度的比值作为心电波形的特征信息,进行相似性分析。实验结果表明,在基于距离的分类方法中,这种特征表示方法在降低维度同时,能够减小同类波形之间的差距,扩大不同类波形之间的差距。将此方法用于心电波形的分类,可以提高分类的准确性和效率,以及分类灵敏度和特异度的稳定性。

It is often difficult to classify Electrocardiogram （ECG） waveform automatically due to high similarity. A new feature representation of ECG waveform was proposed -- window-slope method. In this method, an ECG waveform was divided into different windows in a plane, and the slope of maximum and minimum amplitude in a window was extracted as feature information to perform similarity analysis. The experimental results show that the method can not only reduce the dimension, but also can enlarge the difference between different types of waveforms under distance-based classification. The classification accuracy and efficiency can be improved by using the method; meanwhile the sensitivity and specificity of classification can be stabilized at a higher level.