基于小波变换的心电信号去噪研究

Ecg signal acquisition process is often mixed with myoelectricity interference noise, power frequency interference and baseline drift signal, impact analysis of ecg signal.By exploiting wavelet transform to analyze signals both in time and frequency domain, this paper analyzes the noise characteristics and noise frequency distribution of the ECG signal. At the same time, this paper analysis many unfavorable conditions of traditional denoising method in ECG signal denoising process. On the basis of that, a new thresholding function is proposed for wavelet threshold, ECG signal denoising, the simulation results show that the algorithm is better than traditional wavelet thresholding denoising effect is more significant, and the reconstructed signal get closer to the original signal,and simulation results obtained in the improved threshold estimation algorithm for ECG signal denoising by wavelet.