An Approach Based on Wavelet Transform to Remove the Noises of ECG

Abstract:

In the acquisition process of ECG, noise, which mainly consists of power line interference baseline drift and the EMG interference, often exists due to the instrument, the human body and other aspects. This noise mixed with the ECG, will causes ECG distortion, which makes the whole ECG waveform blurred, and impacts the subsequent signal processing and analysis. In this paper, Coif4 wavelet is used to make the ECG decomposed by 8 scale; at the same time, the wavelet decomposition and reconstruction method is used to remove baseline drift, and then the improved wavelet threshold method is used to remove power line interference and the EMG interference waveform to obtain accurate geocentric, providing a more accurate basis for the medical diagnosis.

• Periodical: Advanced Materials Research (Volumes 562-564)
• Pages: 1899-1902
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.562-564.1899
• Online since: August 2012
• Authors: Guo Zhuang Liang, Su Fang Sun, Jing Xia Wei
• Keywords: De-Noising, ECG Signals, Imitation, Wavelet Transform (WT)

References

[1] Zhao Qing, Zhao Jie, Wei Long: Based on the wavelet transform of ECG signal de-noising algorithm [J]. Modern biomedical progress, Vol. 10(2007), pp.1566-1568.

[2] Chen Chunxiao, Liu Jianye: Based on wavelet transform to deal with the noise of ECG signal [J]. Journal of biomedical engineering, Vol. 21 (2004), pp.89-92.

[3] Hu Changhua, Li Guohua, Liu Tao: Based on MATLAB 6. x of system analysis and design-wavelet analysis. Xi'an: Xi'an Electronic Science University Press, (2004).

[4] Information on http: /www. physionet. org/physiobank/database/mitdb/. Updated Thurs-day, 19-Mar- (2009)10: 32: 22 EDT.

[5] Su Li, Zhao Guoliang, Zhang Renyan: Based on improved wavelet threshold value method of translation unchanged ECG signals de-noising [J]. Journal of Harbin Engineering University, Vol. 27(2006), pp.839-843.

DOI: 10.1109/iscit.2005.1566931