Chinese Journal of Tissue Engineering Research ›› 2010, Vol. 14 ›› Issue (26): 4809-4811.doi: 10.3969/j.issn.1673-8225.2010.26.014

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Application of a modified fast independent component analysis in fetal electrocardiogram extraction  

Du Yan-qin, Huang Hua   

  1. Department of Medical Information Engineering, Sichuan University, Chengdu  610065, Sichuan Province, China
  • Online:2010-06-25 Published:2010-06-25
  • Contact: Huang Hua, Doctoral supervisor, Professor, Department of Medical Information Engineering, Sichuan University, Chengdu 610065, Sichuan Province, China hhua@scu.edu.cn
  • About author:Du Yan-qin, Studying for master’s degree, Department of Medical Information Engineering, Sichuan University, Chengdu 610065, Sichuan Province, China duyanqin@126.com

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Abstract:

BACKGROUND: Fetal electrocardiogram (FECG) is an objective index of the activities of fetal cardiac electrophysiology, but the obtained FECG is interferenced by maternal ECG. How to extract the FECG quickly and effectively has become an important research topic.
OBJECTIVE: To separate FECG signal from the mother's ECG more rapidly and accurately by using improved fast (ICA) algorithm in order to achieve a more accurate FECG examination from fetal health purposes.
METHORDS: Relaxation factor and the closeness measure function were added to fast ICA, the differences of speed and accuracy between the improved algorithm and the original ICA algorithm for rapid separation of the mother and FECG signal were observed.
RESULTS AND CONCLUSION: The simulation shows that the modified fast ICA can extract FECG from the mixed-signal quickly and efficiently and maintain the other signal simultaneously.

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