基于平稳小波变换的心电信号去噪研究

De-noising of ECG Signal Based on Stationary Wavelet Transform

讨论了经典的离散小波去噪原理和平稳小波变换的原理,分析了阈值以及阈值函数的选取方法。并将经典的离散小波和平稳小波用于心电信号去噪处理。通过在不同阈值和不同阈值函数条件下对心电信号处理的去噪效果的对比研究,说明了平稳小波相对于离散小波不仅提高了信噪比,还较好的抑制了Gibbs现象,取得了更好的去噪效果。

In this paper, the principles of the Discrete Wavelet Transform and Stationary Wavelet Transform denoising are discussed . Selection rules of thresholding value and the thresholding operations are analyed. Discrete Wavelet Transform and Stationary Wavelet Transform are used to denoise the ECG signal , the results are compared with different thresholding values and different thresholding operations. The experiment results show that Stationary Wavelet Transform is obviously better than Discrete Wavelet Transform,not only gets a better SNR,but also suppresses Gibbs phenomena.