基于二代小波变换的心电信号去噪算法

e-nosing methods based on wavelet transform cannot be applied to real-time ECG signals processing due to computation complexity, and some traditional algorithms cannot provide desired effect in actual use. In this paper lifting scheme, also called second generation wavelet transform, is used to speed up wavelet decomposition, to reduce memory demand, and combining with threshold de-nosing method to deal with noised ECG signals. To validate the actual effect of the method, signals in MIT-BIH ECG signal database are analyzed. Results show that the de-noised signal has little distortion, and the added electrode motion artifact and muscle artifact are successfully removed, the computing speed promotes significantly comparing with algorithm using wavelet transform.