Comparisons of wavelet packet, lifting wavelet and stationary wavelet transform for de-noising ECG

摘要：

In ECG de-noising, the goal is to recover the valid ECG from the undesired artifacts with the minimum distortion for presenting a signal, which allows easy visual interpretation and auto diagnosis. We adopt three de-noising algorithms based on wavelet packet (WPT), lifting wavelet (LWT) and stationary wavelet transform (SWT) for de-noising ECG signals, respectively. Through using simulated and real noisy ECG signals from MIT–BIH database, we evaluate the denoising results by means of SNR and visual inspection, and conclude that SWT algorithm is the suitable one for de-noising ECG signals.

关键词： ECG de-noising wavelet packet lifting wavelet stationary wavelet transform

作者: Suyi Li Guangda Liu Zhenbao Lin

作者单位: College of Instrument Science and Electrical Engineering Jilin University Changchun, China

会议类型: 国际会议

会议名称: 2009 2nd IEEE International Conference on Computer Science and Information Technology(第二届计算机科学与信息技术国际会议 ICCSIT2009)

会议地点: 北京

会议语种:英文

页码: 1812-1815

在线出版日期: 2009-08-08（万方平台首次上网日期，不代表论文的发表时间）