On the empirical mode decomposition performance in white gaussian noise biomedical signals

Karagiannis, A; Constantinou, PH

dc.contributor.author	Karagiannis, A	en
dc.contributor.author	Constantinou, PH	en
dc.date.accessioned	2014-03-01T02:52:43Z
dc.date.available	2014-03-01T02:52:43Z
dc.date.issued	2010	en
dc.identifier.issn	16800737	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/36020
dc.subject	Biomedical signal processing	en
dc.subject	Empirical Mode Decomposition	en
dc.subject	White Gaussian Noise	en
dc.subject.other	Biomedical fields	en
dc.subject.other	Biomedical signal	en
dc.subject.other	Biomedical signal processing	en
dc.subject.other	Empirical Mode Decomposition	en
dc.subject.other	High-frequency noise	en
dc.subject.other	Information contents	en
dc.subject.other	Intrinsic mode functions	en
dc.subject.other	Pre-processing	en
dc.subject.other	Processing Time	en
dc.subject.other	White Gaussian Noise	en
dc.subject.other	Biochemical engineering	en
dc.subject.other	Bioelectric phenomena	en
dc.subject.other	Electrocardiography	en
dc.subject.other	Electrochromic devices	en
dc.subject.other	Medical computing	en
dc.subject.other	Power quality	en
dc.subject.other	Signal analysis	en
dc.subject.other	Signal processing	en
dc.subject.other	Signal to noise ratio	en
dc.subject.other	White noise	en
dc.subject.other	Gaussian distribution	en
dc.title	On the empirical mode decomposition performance in white gaussian noise biomedical signals	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1007/978-3-642-13039-7_26	en
heal.identifier.secondary	http://dx.doi.org/10.1007/978-3-642-13039-7_26	en
heal.publicationDate	2010	en
heal.abstract	Empirical Mode Decomposition (EMD) is widely used in biomedical field for electrocardiogram (ECG) processing. Removal of high-frequency noise which is one the main artifacts that corrupt ECG, is carried out by proper selection of Intrinsic Mode Functions (IMF) produced by EMD and partial signal reconstruction. In this paper a study of the influence of White Gaussian Noise in synthetic electrocardiograms of various Signal to Noise ratios (SNR) in terms of total number of Intrinsic Mode Functions is presented. Simulations reveal that a pre-processing stage before the application of EMD optimizes processing time by reducing the total number of IMFs without significant loss of information content. © 2010 International Federation for Medical and Biological Engineering.	en
heal.journalName	IFMBE Proceedings	en
dc.identifier.doi	10.1007/978-3-642-13039-7_26	en
dc.identifier.volume	29	en
dc.identifier.spage	101	en
dc.identifier.epage	106	en