体表心电图中T波交替现象的检测

摘要

Detection of T-wave alternans( TWA) is of great significance for prediction of malignant ventricular arrhythmias. Firstly, empirical mode decomposition ( EMD) -based denoising method was used to reduce noises and interference from body surface ECG. Then recognition of ECG characteristic points was achieved using wavelet transform ,and finally a method of extracting T-wave windows around the T-wave peaks was advanced. By analyzing the power spectrums of 128 consequent T-wave windows, it is indicated that the proposed method achieved the detection of microvolt TWA ,and it can be applied to clinical diagnosis of TWA.%T波交替(T-wave alternans,TWA)的检测对于预测室性心律失常有重要意义.本文首先利用基于经验模态分解(empirical mode decomposition,EMD)的降噪方法进行心电信号的降噪,然后采用小波变换进行心电信号特征点的识别,最后给出以T波峰值点为参考点提取T波窗口的方法.通过对连续的128个T波窗口进行功率谱分析证实,上述方法实现了微伏级TWA的检测,可用于TWA的临床诊断.