Research and Application of Fetal Electrocardiogram Blind Signal Separation Technology

FECG (Fetal Electrocardiogram) is weak signal indirect monitored between the electrode that placed upon the mother abdominal the matrix surface, which contains all the forms of jamming signal. How to separate the Fetal from the strong background interference has important value of clinical application, but this is a difficult problem in the signal processing field. Independent Component Analysis (ICA) is a kind of Blind Signal Separation (BBS) technology that not need to know prior signal. This study introduced the basic theory of ICA, discussed the application of ICA in the blind mixed FECG signal, given the information maximization (Informax) blind source separation algorithm and simluated the instantaneous mixed FECG signal. The experimental results show that this method can effectively improve the operation efficiency and achieve a good separation effect, the monitoring time error is less than 0.5% and the feature point frequency of spectrum diagram error is less than 1%.