Application of independent component analysis for separating phonocardiogram signals.
- Author:
Xiumei YANG
1
;
Jiahua PAN
;
Zuxing ZHANG
;
Libin FANG
;
Yuanxia JI
;
Yun FAN
;
Weilian WANG
Author Information
1. Department of Communication, Yunnan University, Kunming 650091, China.
- Publication Type:Journal Article
- MeSH:
Algorithms;
Heart Sounds;
Humans;
Phonocardiography;
methods;
Principal Component Analysis;
Signal Processing, Computer-Assisted
- From:
Journal of Biomedical Engineering
2008;25(4):766-769
- CountryChina
- Language:Chinese
-
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.
