Du Xiaochuan, Rao Nini, Ou Feng, Xu Guogong, Yin Lixue, Wang Gang
School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China.
Ann Noninvasive Electrocardiol. 2013 May;18(3):262-70. doi: 10.1111/anec.12034. Epub 2013 Jan 20.
This article is to propose an algorithm for improving T-wave ends location during atrial fibrillation (AF). The traditional algorithms do not take the irregular baseline fibrillation of AF into consideration, so their location accuracy is relatively low. Based on simple assumptions that AF is a random signal while T waves and QRS complexes are deterministic signals, we suggest a novel method to suppress f wave for improving location of T-wave ends during AF. We firstly define a new cardiac cycle and then match R peaks and T peaks in the three adjacent cardiac cycles. Finally, we suppress the interference of the f wave by averaging. When evaluating with the PhysioNet QT database and simulated AF signals in terms of the mean and the standard deviation of the T-wave ends location errors, the proposed algorithm improves the performance of existing popular methods. Besides, the clinical significance of the proposed method is illustrated.
本文旨在提出一种用于改善心房颤动（AF）期间T波终点定位的算法。传统算法未考虑AF的不规则基线颤动，因此其定位精度相对较低。基于AF是随机信号而T波和QRS复合波是确定性信号这一简单假设，我们提出了一种抑制f波的新方法，以改善AF期间T波终点的定位。我们首先定义一个新的心动周期，然后在三个相邻心动周期中匹配R波峰和T波峰。最后，通过平均来抑制f波的干扰。当使用PhysioNet QT数据库和模拟AF信号根据T波终点定位误差的均值和标准差进行评估时，所提出的算法提高了现有流行方法的性能。此外，还阐述了所提方法的临床意义。
