Trahanias P E
Department of Electrical and Computer Engineering, University of Toronto, Ont., Canada.
IEEE Trans Biomed Eng. 1993 Feb;40(2):201-5. doi: 10.1109/10.212060.
An approach to QRS complex detection based on mathematical morphology is presented in this communication. QRS complexes are detected by the application of a simple morphological operator. This operator works as a peak-valley extractor and it is controlled by the shape of the structuring element. A set (horizontal line segment) is used as structuring element resulting in very fast execution times. The accuracy of this approach has been tested using a standard ECG library; a sensitivity of 99.38% and a positive predictivity of 99.48% have been achieved.
本文介绍了一种基于数学形态学的QRS波群检测方法。通过应用一个简单的形态学算子来检测QRS波群。该算子用作峰谷提取器,并由结构元素的形状控制。使用一组(水平线段)作为结构元素,从而实现非常快的执行时间。已使用标准心电图库测试了该方法的准确性;灵敏度达到了99.38%,阳性预测值达到了99.48%。