心电T波交替现象与室性心动过速和室颤易发性有关,已成为预测心脏性猝死的一个无创的临床指标。目前T波交替变异性分析中常用平均功率谱分析方法,为弥补其不具备时间分辨率的不足,将Wigner-Ville时频分布(WVD)应用于T波交替变异性分析中,可反映T波交替随时间的动态变化。并提出基于相位谱修正的波形对准算法,降低了低采样率下心电信号误对准噪声对T波交替检测的影响。经仿真实验及MIT-BIH数据验证,该方法可使T波交替分析的应用范围从原先1kHz以上的高采样率心电数据扩展至200Hz及以上的低采样率心电数据。 T wave alternating ECG and ventricular tachycardia and ventricular fibrillation prone, has become a predictable sudden cardiac death a non-invasive clinical indicators. In order to make up for the lack of time resolution, Wigner-Ville time-frequency distribution (WVD) is applied to the analysis of T-wave alternating variability, which can reflect the T wave Alternate dynamic changes over time. The algorithm of waveform alignment based on phase spectrum correction is proposed, which can reduce the influence of misalignment noise of ECG signal on T-wave alternation detection under low sampling rate. The simulation experiments and MIT-BIH data validation show that this method can extend the range of applications of T-wave analysis from high-sampling ECG data over 1kHz to low-sampling ECG data of 200Hz and above.