title: A Fetal Electrocardiogram Signal Extraction Algorithm Based on the Temporal Structure and the Non-Gaussianity.
abstract: Fetal electrocardiogram (FECG) extraction is an important issue in biomedical signal processing. In this paper, we develop an objective function for extraction of FECG. The objective function is based on the non-Gaussianity and the temporal structure of source signals. Maximizing the objective function, we can extract the desired FECG. Combining with the solution vector obtained by maximizing the objective function, we further improve the accuracy of the extracted FECG. In addition, the feasibility of the innovative methods is analyzed by mathematical derivation theoretically and the efficiency of the proposed approaches is illustrated with the computer simulations experimentally.
authors.affiliation: College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China.
authors.forename: Yibing
authors.initials: Y
authors.lastname: Li
authors.affiliation: College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China.
authors.forename: Wei
authors.initials: W
authors.lastname: Nie
authors.affiliation: College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China.
authors.forename: Fang
authors.initials: F
authors.lastname: Ye
authors.affiliation: School of Computer Science and Technology, Harbin University of Science and Technology, Harbin 150080, China.
authors.forename: Ao
authors.initials: A
authors.lastname: Li
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D004562:Electrocardiography / Q000379:methods*; D005260:Female; D005323:Fetal Monitoring / Q000379:methods*; D006801:Humans; D016014:Linear Models; D016011:Normal Distribution; D011247:Pregnancy; D012815:Signal Processing, Computer-Assisted