dc.contributor.author |
Karagiannis, A |
en |
dc.contributor.author |
Ph, C |
en |
dc.date.accessioned |
2014-03-01T02:51:19Z |
|
dc.date.available |
2014-03-01T02:51:19Z |
|
dc.date.issued |
2008 |
en |
dc.identifier.uri |
https://dspace.lib.ntua.gr/xmlui/handle/123456789/35471 |
|
dc.subject |
Decomposition Method |
en |
dc.subject |
Electrocardiogram |
en |
dc.subject |
Empirical Mode Decomposition |
en |
dc.subject |
Signal Processing |
en |
dc.subject |
Wireless Sensor Network |
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 |
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 |
en |
heal.journalName |
IEEE International Conference on Bioinformatics and Bioengineering |
en |
dc.identifier.doi |
10.1109/BIBE.2008.4696768 |
en |