Yan Kanghui, Wan Xiangkui, Li Minggui, Xiang Dingcheng
Information Engineering College, Guangdong University of Technology, Guangzhou 510006, China.
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2013 Aug;30(4):860-5.
T-wave alternans (TWA) refers to a phenomenon appearing in the surface electrocardiograph (ECG) as a consistent fluctuation in morphology and amplitude of the T wave on an "every-other-beat" basis. Correlation method (CM) has a certain ability to detect the non-stationary TWA, but it is very sensitive to noise. In this paper we propose a modified correlation method to ensure a stable and accurate detection of non-stationary TWA. Compared to the CM, the method modifies the judge condition and uses the linear fitting to limit the noise to gain the ability of detecting of non-stationary TWA. Our simulation and clinical data assessment study demonstrates the improved performance of the proposed algorithm.
T波交替(TWA)是指在体表心电图(ECG)中出现的一种现象,即T波的形态和幅度以“每隔一个心动周期”为基础出现一致的波动。相关方法(CM)具有一定检测非平稳TWA的能力,但它对噪声非常敏感。在本文中,我们提出了一种改进的相关方法,以确保稳定、准确地检测非平稳TWA。与CM相比,该方法修改了判断条件,并使用线性拟合来限制噪声,从而获得检测非平稳TWA的能力。我们的模拟和临床数据评估研究证明了所提算法性能的提升。