Application of three kinds of method for extracting nonlinear trend in biomedical signal analysis / 中国医疗器械杂志
Chinese Journal of Medical Instrumentation
; (6): 237-239, 2014.
Article
en Zh
| WPRIM
| ID: wpr-259883
Biblioteca responsable:
WPRO
ABSTRACT
Biomedical signal analysis often needs to separate the trend component from the non-trend component to achieve different purposes and applications in signal analysis. This article introduces three kinds of detrending nonlinear component methods used in the process of biomedical signal analysis: wavelet analysis, empirical mode decomposition, smoothness priors approach as well as the application in the separation of the actual biomedical data. The different separation methods should be selected according to different research goals as well as the feature of the signal.
Texto completo:
1
Base de datos:
WPRIM
Asunto principal:
Algoritmos
/
Procesamiento de Señales Asistido por Computador
/
Dinámicas no Lineales
/
Análisis de Ondículas
Idioma:
Zh
Revista:
Chinese Journal of Medical Instrumentation
Año:
2014
Tipo del documento:
Article