dc.contributor.author |
Alexandridi, A |
en |
dc.contributor.author |
Panagopoulos, I |
en |
dc.contributor.author |
Manis, G |
en |
dc.contributor.author |
Papakonstantinou, G |
en |
dc.date.accessioned |
2014-03-01T02:49:21Z |
|
dc.date.available |
2014-03-01T02:49:21Z |
|
dc.date.issued |
2003 |
en |
dc.identifier.uri |
https://dspace.lib.ntua.gr/xmlui/handle/123456789/34539 |
|
dc.subject |
Bandpass Filter |
en |
dc.subject |
Haar Wavelet |
en |
dc.subject |
Hardware Implementation |
en |
dc.subject |
Peak Detection |
en |
dc.title |
R-peak detection with alternative Haar wavelet filter |
en |
heal.type |
conferenceItem |
en |
heal.identifier.primary |
10.1109/ISSPIT.2003.1341099 |
en |
heal.identifier.secondary |
http://dx.doi.org/10.1109/ISSPIT.2003.1341099 |
en |
heal.publicationDate |
2003 |
en |
heal.abstract |
This work presents a new filtering method for the Pan-Tompkins algorithm. The Haar wavelet is substituted for the bandpass filter commonly used in the algorithm and is applied to sample the data from two popular databases. We found that the application of the Haar wavelet as a filtering step produces a much clearer signal after the integration phase of the |
en |
heal.journalName |
IEEE International Symposium on Signal Processing and Information Technology |
en |
dc.identifier.doi |
10.1109/ISSPIT.2003.1341099 |
en |