Investigating performance of empirical mode decomposition application on electrocardiogam

Karagiannis, A; Constantinou, P

dc.contributor.author	Karagiannis, A	en
dc.contributor.author	Constantinou, P	en
dc.date.accessioned	2014-03-01T02:46:51Z
dc.date.available	2014-03-01T02:46:51Z
dc.date.issued	2010	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/32891
dc.subject	Algorithm modeling	en
dc.subject	Biomedical engineering	en
dc.subject	Computation time	en
dc.subject	Electrocardiogram	en
dc.subject	Empirical Mode Decomposition	en
dc.subject.other	Accurate timing	en
dc.subject.other	Biomedical fields	en
dc.subject.other	Computation time	en
dc.subject.other	Data stream	en
dc.subject.other	Efficient computation	en
dc.subject.other	Electrocardiogram	en
dc.subject.other	Electrocardiogram signal	en
dc.subject.other	Embedded computing	en
dc.subject.other	Empirical Mode Decomposition	en
dc.subject.other	Higher frequencies	en
dc.subject.other	Hilbert Huang transforms	en
dc.subject.other	Hilbert transform	en
dc.subject.other	Incremental algorithm	en
dc.subject.other	Integral transform technique	en
dc.subject.other	Nonstationary signals	en
dc.subject.other	Resource management	en
dc.subject.other	Signal processing chips	en
dc.subject.other	Time series characteristic	en
dc.subject.other	Algorithms	en
dc.subject.other	Biomedical engineering	en
dc.subject.other	Biophysics	en
dc.subject.other	Electrocardiography	en
dc.subject.other	Electrochromic devices	en
dc.subject.other	Integral equations	en
dc.subject.other	Mathematical transformations	en
dc.subject.other	Signal processing	en
dc.subject.other	Time series	en
dc.subject.other	Computational efficiency	en
dc.title	Investigating performance of empirical mode decomposition application on electrocardiogam	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/CIBEC.2010.5716048	en
heal.identifier.secondary	http://dx.doi.org/10.1109/CIBEC.2010.5716048	en
heal.identifier.secondary	5716048	en
heal.publicationDate	2010	en
heal.abstract	Empirical Mode Decomposition (EMD) is widely used in biomedical field especially for electrocardiogram (ECG) signal processing. The combination of EMD with Hilbert Transform, the Hilbert Huang Transform (HHT), offers higher frequency resolution and more accurate timing of transient non-stationary signals than conventional integral transform techniques. Embedded computing and signal processing chips with sufficient performance are involved in the application of HHT in data streams. The original HHT algorithm, especially in the case of EMD, is not suitable in such systems so an incremental algorithm is necessary for efficient computation. In this paper an investigation of the EMD performance is presented in terms of computation time that is necessary for smart resource management. A metric is proposed aiming at the a priori calculation of computation time based on ECG time series characteristics. © 2010 IEEE.	en
heal.journalName	2010 5th Cairo International Biomedical Engineering Conference, CIBEC 2010	en
dc.identifier.doi	10.1109/CIBEC.2010.5716048	en
dc.identifier.spage	1	en
dc.identifier.epage	4	en