Improved complete ensemble EMD: A suitable tool for biomedicalsignal processing

MARCELO ALEJANDRO COLOMINAS; GASTÓN SCHLOTTHAUER; MARÍA EUGENIA TORRES

BIOMEDICAL SIGNAL PROCESSING AND CONTROL

ELSEVIER SCI LTD

Lugar: Amsterdam; Año: 2014 vol. 14 p. 19 - 29

1746-8094

The empirical mode decomposition (EMD) decomposes non-stationary signals that may stem from non-linear 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.