Chinese Journal of Tissue Engineering Research ›› 2011, Vol. 15 ›› Issue (13): 2394-2397.doi: 10.3969/j.issn.1673-8225.2011.13.027

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Fetal electrocardiogram extraction based on independent component and wavelet analyses

Du Yan-qin, Huang Hua   

  1. School of Electrical Engineering and Information, Sichuan University, Chengdu  610065, Sichuan Province, China
  • Received:2010-10-09 Revised:2011-01-05 Online:2011-03-26 Published:2013-10-23
  • About author:Du Yan-qin★, Studying for master’s degree, School of Electrical Engineering and Information, Sichuan University, Chengdu 610065, Sichuan Province, China duyanqin@126.com

Abstract:

BACKGROUND: In the fetal electrocardiogram (ECG) acquisition process, it is interfered by maternal ECG and other noise. It becomes important that how to extract rapidly and effectively fetal ECG.
OBJECTIVE: Using independent component analysis and wavelet analysis to isolate maternal detection signals to obtain effective fetal ECG.
METHODS: Fetal ECG was extracted using the method combining independent component analysis and wavelet analysis. First, noised signals underwent wavelet transform to eliminate strange signals and non-stable random signals, followed by rapid independent component analysis.
RESULTS AND CONCLUSION: Fetal ECG collection was interfered by maternal ECG and other noise, but these signals are random, not related, and can be considered independent of each other. Each independent component could be extracted effectively by using the method combining independent component analysis and wavelet analysis. Experiments show that the method is effective.

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