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.
Artigo
em Chinês
| WPRIM (Pacífico Ocidental)
| ID: wpr-342747
Biblioteca responsável:
WPRO
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.
Texto completo:
Disponível
Base de dados:
WPRIM (Pacífico Ocidental)
Assunto principal:
Fonocardiografia
/
Algoritmos
/
Processamento de Sinais Assistido por Computador
/
Ruídos Cardíacos
/
Análise de Componente Principal
/
Métodos
Limite:
Humanos
Idioma:
Chinês
Revista:
Journal of Biomedical Engineering
Ano de publicação:
2008
Tipo de documento:
Artigo