Improved complete ensemble EMD: A suitable tool for biomedical signal processing

dc.creatorColominas, Marcelo Alejandro
dc.creatorSchlotthauer, Gaston
dc.creatorTorres, Maria Eugenia
dc.date.accessioned2018-02-14T15:22:16Z
dc.date.accessioned2018-11-06T12:04:53Z
dc.date.available2018-02-14T15:22:16Z
dc.date.available2018-11-06T12:04:53Z
dc.date.created2018-02-14T15:22:16Z
dc.date.issued2014-11
dc.identifierColominas, 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
dc.identifier1746-8094
dc.identifierhttp://hdl.handle.net/11336/36429
dc.identifierCONICET Digital
dc.identifierCONICET
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1862879
dc.description.abstractThe 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.
dc.languageeng
dc.publisherElsevier
dc.relationinfo:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.bspc.2014.06.009
dc.relationinfo:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S1746809414000962
dc.rightshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.subjectEmpirical mode decomposition (EMD)
dc.subjectNoise-assisted data analysis
dc.subjectElectroglottography
dc.subjectVentricular fibrillation
dc.subjectEpileptic seizure
dc.titleImproved complete ensemble EMD: A suitable tool for biomedical signal processing
dc.typeArtículos de revistas
dc.typeArtículos de revistas
dc.typeArtículos de revistas


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