06090597

j

06090597 Wang, Ying Zeng, Guangyu Denoising processing of ECG signal based on comparison with wavelet denoising and the EMD denoising in qualitative and quantitative. J. Numer. Methods Comput. Appl. 32, No. 4, 274-282 (2011). 2011 ZH ECG signal denoising processing wavelet transform empirical mode decomposition Summary: There are inevitably strong disturbance and noise in the measured ECG signal. How to extract the ECG wave accurately with strong background disturbance and noise is an important part in the intelligent diagnosis of heart disease. In this paper, a new method based on comparison with wavelet denoising and the EMD denoising in qualitative and quantitative is presented. Firstly, the signal is disposed by wavelet decomposition and decomposed to multiple scales ones. Secondly, we choose several layers of those signals, which are processed with EMD decomposition, then eliminate the noise intrinsic mode function and reconstruction the left signal. At last, the serious disturbance and noise are removed and the signal is extracted. The proposed method is verified using the simulation with noise ECG signals and the data from MIT-BIH Noise Stress Test Database (nstdb). The wavelet threshold value method and EMD decomposition method are analyzed and compared with the new method in this paper. The results indicate that this method is superior to other two methods and simple, effective, suitable for practical applications.