在心电信号处理过程中，为了避免产生Gibbs 振荡现象和严重的频率混叠现象，提出一种基于双树复小波变换，并结合最大后验估计确定阈值的心电信号去噪方法。文中采用了信噪比和均方误差来评价双树复小波变换和离散小波变换两种方法对心电信号的去噪效果。实验结果表明: 与传统离散小波变换相比，双树复小波变换去噪更彻底，边界、纹理等特征能较好地保留，可以作为一种生物医学信号降噪处理的新方法。-In ECG signal processing， in order to avoid the phenomena of Gibbs oscillation and severe frequency aliasing，a new ECG signal denoising algorithm is presented，which is based on dual-tree complex wavelet transform and combined with the maximum a posteriori estimation to determine the threshold． The signal-to-noise ratio and mean square error are used to　uate the denoising effects of the dual-tree complex wavelet transform and discrete wavelet transform． The experimental result shows that compared with traditional discrete wavelet transform， the dual-tree complex wavelet transform reduces noise more thoroughly and retains boundary and texture characteristics better． The dualtree complex wavelet transform can be used as a new denoising method for biomedical signal denoising processing．