Denoising ECG Signal Based on Ensemble Empirical Mode Decomposition

摘要：

The electrocardiogram (ECG) has been used extensively for detection of heart disease. Frequently the signal is corrupted by various kinds of noise such as muscle noise, electromyogram (EMG) interference, instrument noise etc. In this paper, a new ECG denoising method is proposed based on the recently developed ensemble empirical mode decomposition (EEMD). Noisy ECG signal is decomposed into a series of intrinsic mode functions (IMFs). The statistically significant information content is build by the empirical energy model of IMFs. Noisy ECG signal collected from clinit recording is processed using the method. The results show that on contrast with traditional methods, the novel denoising method can achieve the optimal denoising of the ECG signal.

关键词： ECG denoising EEMD

作者: Zhao Zhi-dong Liu Juan Wang Sheng-tao

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

会议类型: 国际会议

会议名称: 2010 International Conference on Signal and Information Processing(2010年IEEE信号与信息处理国际会议 ICSIP2010)

会议地点: 长沙

会议语种:英文

页码: 656-659

在线出版日期: 2010-12-14（万方平台首次上网日期，不代表论文的发表时间）