title: [Fetal electrocardiogram extraction based on robust independent component analysis].
abstract: Independent component analysis (ICA) aims at decomposing an observed random vector into statistically independent variables. Fast independent component analysis (FastICA) algorithm and its variants are catching more attention because of their simplicity and convergence speed. In this paper, a novel method referred to robust independent component analysis (RobustICA), based on normalized kurtosis and optimal step-size, is analyzed in detail. When applied to fetal electrocardiogram (FECG) extraction and compared with FastICA, it gave decent results and showed prosperous future usages.
authors.forename: Wenpo
authors.initials: W
authors.lastname: Yao
authors.forename: Jun
authors.initials: J
authors.lastname: Wang
mesh_terms: D000465:Algorithms; D004562:Electrocardiography; D005260:Female; D005318:Fetal Heart / Q000502:physiology*; D005323:Fetal Monitoring; D005333:Fetus; D006801:Humans; D011247:Pregnancy; D025341:Principal Component Analysis; D012815:Signal Processing, Computer-Assisted