Poli R, Cagnoni S, Valli G
Department of Electronic Engineering (DIE), University of Florence, Italy.
IEEE Trans Biomed Eng. 1995 Nov;42(11):1137-41. doi: 10.1109/10.469381.
This paper describes an approach to the design of optimum QRS detectors. We report on detectors including a linear or nonlinear polynomial filter, which enhances and rectifies the QRS complex, and a simple, adaptive maxima detector. The parameters of the filter and the detector, and the samples to be processed are selected by a genetic algorithm which minimizes the detection errors made on a set of reference ECG signals. Three different architectures and the experimental results achieved on the MIT-BIH Arrhythmia Database are described.
本文描述了一种设计最佳QRS波检测器的方法。我们报告了多种检测器，包括一个线性或非线性多项式滤波器，用于增强和整流QRS波群，以及一个简单的自适应最大值检测器。滤波器和检测器的参数以及要处理的样本由遗传算法选择，该算法可使在一组参考心电图信号上产生的检测误差最小化。文中描述了三种不同的架构以及在麻省理工学院-比赫心律失常数据库上取得的实验结果。
