摘要
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(empiricalmode 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。
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.
出处
《北京生物医学工程》
2011年第4期387-391,共5页
Beijing Biomedical Engineering
