Application of independent component analysis for separating phonocardiogram signals / 生物医学工程学杂志
Journal of Biomedical Engineering
;
(6): 766-769, 2008.
Article
in Chinese
| WPRIM
| ID: wpr-342747
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.
Full text:
Available
Index:
WPRIM (Western Pacific)
Main subject:
Phonocardiography
/
Algorithms
/
Signal Processing, Computer-Assisted
/
Heart Sounds
/
Principal Component Analysis
/
Methods
Limits:
Humans
Language:
Chinese
Journal:
Journal of Biomedical Engineering
Year:
2008
Type:
Article
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