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.
Artículo
en Chino
| 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.
Texto completo:
Disponible
Índice:
WPRIM (Pacífico Occidental)
Asunto principal:
Fonocardiografía
/
Algoritmos
/
Procesamiento de Señales Asistido por Computador
/
Ruidos Cardíacos
/
Análisis de Componente Principal
/
Métodos
Límite:
Humanos
Idioma:
Chino
Revista:
Journal of Biomedical Engineering
Año:
2008
Tipo del documento:
Artículo
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