title: [Research on algorithm of independent component analysis with two channel electrocardiograms].
abstract: According to the independent component analysis (ICA) theory, in order to seperate the fetal electrocardiograms (FECG) from the observed data, we must use the larger number of observed signals than that of independent components. This requires that the number of the sentors on the electrocardiograph must be larger than a particular value, which is in practice hard to be satisfied. So we proposed another algorithm using fewer channels of abdominal electrocardiograms, which combines ICA and adaptive noise cancellation to extract the FECG from two leads of abdominal electrocardiograms. The experiment results showed that we could obtain clear FECG by the method we proposed.
authors.affiliation: School of Electrical and Electronic Engineering, Harbin University of Science and Technology, Harbin 150080, China.
authors.forename: Hailan
authors.initials: H
authors.lastname: Yu
authors.forename: Lixin
authors.initials: L
authors.lastname: Song
mesh_terms: D000465:Algorithms; D004562:Electrocardiography / Q000379:methods*; D005260:Female; D005318:Fetal Heart / Q000502:physiology*; D006801:Humans; D011247:Pregnancy; D025341:Principal Component Analysis; D012815:Signal Processing, Computer-Assisted