| 体表心电图中T波交替现象的检测 |
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| 引用本文： | 许菲,滕炯华,张泾周.体表心电图中T波交替现象的检测[J].北京生物医学工程,2011,30(4):387-391. |
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| 作者姓名： | 许菲 滕炯华 张泾周 |
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| 作者单位： | 许菲,XU fei(西北工业大学自动化学院,西安,710072;西安近代化学研究所,西安,710065);滕炯华,张泾周,TENG Jionghua,ZHANG Jingzhou(西北工业大学自动化学院,西安,710072) |
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| 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（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.
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| 关 键 词： | T波交替 经验模态分解 T波窗口的提取 功率谱 |
Detection of T-Wave Alternans in Body Surface ECG |
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| XU fei,TENG Jionghua,ZHANG Jingzhou.Detection of T-Wave Alternans in Body Surface ECG[J].Beijing Biomedical Engineering,2011,30(4):387-391. |
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| Authors: | XU fei TENG Jionghua ZHANG Jingzhou |
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| Institution: | 1 College of Automation,North-West Industry University,Xi＇ an 710072 2 Xi＇ an Modern Chemistry Research Institute, Xi＇ an 710065) |
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| Abstract: | 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. |
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| Keywords: | T-wave alternans EMD extraction of T-wave window power spectrum |
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