基于Ⅰ导联ECG的心肌梗死特征提取

Feature Extraction of Myocardial Infarction Based on Lead Ⅰ ECG

提出了基于ECG导联Ⅰ的单周期信号的心肌梗死特征提取算法,避免了利用多导联ECG检测心肌梗死带来的不便。首先对导联Ⅰ的ECG信号进行去噪处理;然后,引入小波包算法提取QRS波群、T波的主频带,重构QRS波群、T波的波形并确定ST段的始末位置;最后,运用小波的多分辨分析对ST段进行分解并提取导联Ⅰ信号的心肌梗死的特征波形。实验结果表明,本文算法具有较高识别率,这为ECG导联Ⅰ信号用于心肌梗死的检测与诊断提供了依据。

This paper presents a myocardial infarction feature extraction algorithm, and whereby using single-cycle signal of electrocardiogram （ECG） lead Ⅰ , we solved the problem of inconvenience in using multi-lead ECG. First- ly, the noise is eliminated from the signal of ECG lead Ⅰ , and then, wavelet packet algorithm is introduced to ex- tract the main frequency band of QRS complex and T wave, and reconstruct the QRS complex and T wave shape so as to determine the original and end positions of ST segment. Finally, ST segment is decomposed and the waveform characteristics of myocardial infarction from ECG lead Ⅰ signal is obtained based on the analysis of wavelet＇s multi- resolution. Simulation results showed that the algorithm achieved a high recognition rate, which provides fundamen- tal principle for the detection of myocardial infarction by using the ECG lead Ⅰ signal.