基于小波变换的心电微弱信号处理的研究

Information obtained in modern scientific research often contains noise. When the signal is relatively weak, the extraction of useful information becomes very difficult. In this paper, a new threshold de-noising algorithm based on the wavelet transform is developed in view of the EMG interference, frequency interference, baseline drift, noise and so on that are often introduced in ECG monitoring process, which combines the advantages of both soft and hard thresholds. Under the MATLAB environment simulation is made to generate ECG signal, add noise source, and then use wavelet de-noising improved algorithm on the polluted heart electric signal. Simulation results show that de-noising effect based on the improved threshold de-noising method to ECG weak signal is more ideal.