title: [Application of independent component analysis for separating phonocardiogram signals].
abstract: Independent component analysis (ICA) is a novel method developed in recent years for Blind Source Separation. In this paper, the phonocardiogram (PCG) was separated into three components by applying ICA. The basic principle of ICA was introduced in this paper. A fast and robust fixed-point algorithm for ICA was used to analyze PCG signals in this study. The experiments showed that ICA could separate the components of heart sounds from PCG signals successfully.
authors.affiliation: Department of Communication, Yunnan University, Kunming 650091, China.
authors.forename: Xiumei
authors.initials: X
authors.lastname: Yang
authors.forename: Jiahua
authors.initials: J
authors.lastname: Pan
authors.forename: Zuxing
authors.initials: Z
authors.lastname: Zhang
authors.forename: Libin
authors.initials: L
authors.lastname: Fang
authors.forename: Yuanxia
authors.initials: Y
authors.lastname: Ji
authors.forename: Yun
authors.initials: Y
authors.lastname: Fan
authors.forename: Weilian
authors.initials: W
authors.lastname: Wang
mesh_terms: D000465:Algorithms; D006347:Heart Sounds; D006801:Humans; D010701:Phonocardiography / Q000379:methods*; D025341:Principal Component Analysis; D012815:Signal Processing, Computer-Assisted