Artículo
Improved complete ensemble EMD: A suitable tool for biomedical signal processing
Fecha de publicación:
11/2014
Editorial:
Elsevier
Revista:
Biomedical Signal Processing and Control
ISSN:
1746-8094
Idioma:
Inglés
Tipo de recurso:
Artículo publicado
Clasificación temática:
Resumen
The empirical mode decomposition (EMD) decomposes non-stationary signals that may stem from nonlinear systems, in a local and fully data-driven manner. Noise-assisted versions have been proposed to alleviate the so-called “mode mixing” phenomenon, which may appear when real signals are analyzed. Among them, the complete ensemble EMD with adaptive noise (CEEMDAN) recovered the completeness property of EMD. In this work we present improvements on this last technique, obtaining components with less noise and more physical meaning. Artificial signals are analyzed to illustrate the capabilities of the new method. Finally, several real biomedical signals are decomposed, obtaining components that represent physiological phenomenons.
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Articulos(SEDE CENTRAL)
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Articulos de SEDE CENTRAL
Citación
Colominas, Marcelo Alejandro; Schlotthauer, Gaston; Torres, Maria Eugenia; Improved complete ensemble EMD: A suitable tool for biomedical signal processing; Elsevier; Biomedical Signal Processing and Control; 14; 11-2014; 19-29
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