Comparative study of empirical mode decomposition applied in experimental biosignals

Karagiannis, A

dc.contributor.author	Karagiannis, A	en
dc.date.accessioned	2014-03-01T02:51:34Z
dc.date.available	2014-03-01T02:51:34Z
dc.date.issued	2008	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/35563
dc.subject.other	Biosignal	en
dc.subject.other	Biosignals	en
dc.subject.other	Classic techniques	en
dc.subject.other	Comparative studies	en
dc.subject.other	Decomposition methods	en
dc.subject.other	Empirical Mode Decomposition	en
dc.subject.other	Heart function	en
dc.subject.other	Pathological situations	en
dc.subject.other	Acoustic signal processing	en
dc.subject.other	Bioinformatics	en
dc.subject.other	Signal processing	en
dc.subject.other	Wireless sensor networks	en
dc.title	Comparative study of empirical mode decomposition applied in experimental biosignals	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/BIBE.2008.4696768	en
heal.identifier.secondary	4696768	en
heal.identifier.secondary	http://dx.doi.org/10.1109/BIBE.2008.4696768	en
heal.publicationDate	2008	en
heal.abstract	Electrocardiogram is a widely used biosignal for diagnosis of pathological situation concerning heart function. Interpretation and analysis of this signal is critical for the selection of the appropriate treatment and this highlights the necessity for clean signals without any kind of artifacts. Several methods have been developed in order to remove artifacts and delineate the characteristics of the ECG that physicians need to evaluate. In this paper, Empirical Mode Decomposition (EMD) is considered and the application of the decomposition method in experimental signals acquired by means of a wireless sensor network is evaluated. The proposed technique is based on the EMD and is studied comparatively to classic techniques of signal processing. Certain metrics are implemented to evaluate the performance of the technique and the results show good results of the EMD based method.	en
heal.journalName	8th IEEE International Conference on BioInformatics and BioEngineering, BIBE 2008	en
dc.identifier.doi	10.1109/BIBE.2008.4696768	en