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。 A single-cycle myocardial infarction feature extraction algorithm based on ECG lead Ⅰ was proposed to avoid the inconvenience of using multi-lead ECG to detect myocardial infarction. Firstly, the ECG signal of lead Ⅰ is denoised. Then, the wavelet packet algorithm is introduced to extract the main frequency band of QRS complex and T wave, reconstruct the waveform of QRS complex and T wave and determine the beginning and end position of ST segment. Finally, , Using multiresolution analysis of wavelet to decompose ST segment and extract the characteristic waveform of lead Ⅰ signal myocardial infarction. Experimental results show that the proposed algorithm has high recognition rate, which provides a basis for the detection and diagnosis of myocardial infarction using ECG lead Ⅰ signal.