title: [The extraction of fetal electrocardiogram singal based on improved ICA algorithm].
abstract: The present paper is a research on independent component analysis (ICA) method in the fetal electrocardiogram (FECG) extraction. Based on the fundamental model for the ICA and the fixed-point FastICA algorithm using negentropy, damped Newton iteration was used in place of Newton iteration. The algorithm was improved in order to overcome the drawbacks where it is more sensitive to choosing the initial value. The improved algorithm was used to extract the FECG. A synthetic ECG was used in the experiments, and three simulation signal sources were selected, including two sources of ECG and one Gaussian noise source. The experimental results were satisfactory, The convergence rate was faster and the error was smaller.
authors.affiliation: Signal and Information Processing, Northeastern University, Shenyang 110004, China.
authors.forename: Shi
authors.initials: S
authors.lastname: Zhang
authors.forename: Miao
authors.initials: M
authors.lastname: Zhao
authors.forename: Mingquan
authors.initials: M
authors.lastname: Wang
authors.forename: Chunli
authors.initials: C
authors.lastname: Wu
mesh_terms: D000465:Algorithms; D004562:Electrocardiography / Q000379:methods*; D005260:Female; D005318:Fetal Heart / Q000502:physiology*; D006801:Humans; D011247:Pregnancy; D025341:Principal Component Analysis / Q000379:methods*; D012815:Signal Processing, Computer-Assisted