A New Algorithm for Removal Baseline Wander in ECG Signal Based on Empirical Mode Decomposition

摘要：

Removal of baseline wander in ECG signal is a classical problem. In this paper, we propose a new method for removing the baseline wander interferences based on Empirical Mode Decomposition (EMD). The method is very sensitive to end conditions, that is, the end effect. We propose a novel method to restrict the end effect and improve the precision of EMD. EMD can adaptively decompose ECG signal into a series of Intrinsic Mode Functions. The baseline wander is mainly involved in special IMFs. Then selective reconstruction is performed to restore the clean ECG signal. To evaluate the performance of the method, Clinic ECG signals are used. Results indicate that the method is powerful and useful in removing the baseline wander in ECG signal and does not distort the ECG signal.

关键词： ECG baseline wander empirical modede composition

作者: ZHAO Zhidong SUN Shuqiang

作者单位: School of Communication Engineering, HangZhou Dianzi University, Hangzhou, 310018, China

会议类型: 国际会议

会议名称: 第七届国际测试技术研讨会

会议地点: 北京

会议语种:英文

在线出版日期: 2007-08-05（万方平台首次上网日期，不代表论文的发表时间）