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Comparison of wavelet transform based techniques in the denoising of ECG signals

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dc.contributor.authorAdiguezel, Volkan
dc.contributor.authorDurakz, Luetfiye
dc.date.accessioned2026-06-27T13:04:36Z
dc.date.issued2007
dc.description.abstractIn this paper, wavelet decomposition tree and wavelet-domain Wiener filtering techniques are applied on ECG signals for denoising and their denoising performance is compared. Wavelet-domain Wiener filtering has affected some of the basic features of ECG signal and original characteristics have been removed besides the noise. On the other hand, the denoised signal by wavelet decomposition technique keeps much more characteristics of the original ECG signal. This paper presents the comparison by performing denoising simulations of noisy ECG signals.en
dc.identifier.endpage+
dc.identifier.isbn978-1-4244-0719-4
dc.identifier.startpage257
dc.identifier.urihttps://hdl.handle.net/20.500.14981/49369
dc.identifier.wos000252924600065
dc.language.isotur
dc.publisherIEEE
dc.relation.conferenceIEEE 15th Signal Processing and Communications Applications Conference
dc.relation.ispartof2007 IEEE 15TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS, VOLS 1-3
dc.subjectComputer Science
dc.subjectEngineering
dc.subjectTelecommunications
dc.titleComparison of wavelet transform based techniques in the denoising of ECG signals
dc.typeProceedings Paper
dspace.entity.typePublication
local.import.sourceWOS

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