Improvement of the fetal electrocardiogram signals

Authors:
Shih-Lin Lin;Pi-Cheng Tung;Peng-Hui Wang;Jien-Chen Chen
Affiliations:
Department of Mechanical Engineering, National Central University, Jhongli City, Taoyuan County, Taiwan;Department of Mechanical Engineering, National Central University, Taiwan;Department of Obstetrics and Gynecology Taipei Veterans General Hospital, Taipei, Taiwan;Department of Mechanical Engineering, National Central University, Taiwan
Venue:
MMACTE'05 Proceedings of the 7th WSEAS International Conference on Mathematical Methods and Computational Techniques In Electrical Engineering
Year:
2005

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Abstract

The health of the fetus is of major concern to both obstetricians and expectant mothers. A non-invasive fetal electrocardiogram (FECG) system can monitor fetal cardiac condition during pregnancy. However, the FECG signal is often very weak or drowned out by the mother's ECG (MECG) and other noises. This study uses a FastICA algorithm to the isolate FECG signal from other noise interference. The results show that such mixed signals can be separated by FastICA into MECG, FECG, and noises, thus enabling obstetrician to clearly understand the fetal condition through FECG monitoring.