A novel ECG signal denoising method based on Hilbert-Huang Transform

摘要：

This paper aims to explore a method about electrocardiogram (ECG) signal denoising based on Hilbert-Huang Transform. The empirical mode decomposition method can decompose the noisy signal into a number of Intrinsic Mode Functions. Energy analysis is conducted on the IMFs to find out the boundary between the noise-dominated IMFs and ECG signal dominated IMFs accurately. The most noisy IMFs are denoised by using Donoho soft-threshold denoising method. The denoised high frequency IMFs are added to the low frequency IMFs to reconstruct the original signal. The simulation experiments show that this method is simpler than the wavelet denoising method. It is not necessary to choose wavelet basis or determine the number of layers and the threshold. The proposed method can come close to or achieve the best level of wavelet denoising.

关键词： ECG signal HUbert-Huang Transform energy analysis soft-threshold denoising

作者: Changnian Zhang Xia Li Mengmeng Zhang

作者单位: College of Information Engineering, North China University of Technology, Beijing, China College of nformation Engineering,North China University of Technology, Beijing, China

会议类型: 国际会议

会议名称: 2010 International Conference on Computer and Communication Technologies in Agriculture Engineering(计算机与通信技术在农业工程国际会议 CCTAE 2010)

会议地点: 成都

会议语种:英文

页码: 284-287

在线出版日期: 2010-06-12（万方平台首次上网日期，不代表论文的发表时间）