Baseline Wander Removal of ECG Signals Using Empirical Mode Decomposition and Adaptive Filter

摘要：

In this paper, we propose a new method for removing the baseline wander interferences based on Empirical Mode Decomposition (EMD) and adaptive filter. EMD is a relatively new, data-driven adaptive technique used to decompose ECG signal into a series of Intrinsic Mode Functions (IMFs).The baseline wander is mainly involved in special lower frequency IMFs. The adaptive filter is designed to remove the baseline wander, the reference signal of which is produced by selectively reconstruction of IMFs. 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.

作者: Zhao Zhidong Liu Juan

作者单位: School of Electronics & Information, Hangzhou Dianzi University SEI,HDU Hangzhou,China

会议类型: 国际会议

会议名称: The 4th International Conference on Bioinformatics and Biomedical Engineering(第四届IEEE生物信息与生物医学工程国际会议 iCBBE 2010)

会议地点: 成都

会议语种:英文

页码: 1-3

在线出版日期: 2010-06-18（万方平台首次上网日期，不代表论文的发表时间）