Please use this identifier to cite or link to this item: https://dspace.upt.ro/xmlui/handle/123456789/1392
Title: Wavelet transform based ECG signal analysis [articol]
Authors: Germán-Salló, Zoltán
Subjects: Wavelet transform
Multiresolution analysis
Wavelet decomposition
ECG
QRS detection
Issue Date: 2005
Publisher: Timişoara: Editura Politehnica
Citation: Germán-Salló, Zoltán. Wavelet transform based ECG signal analysis. Timişoara: Editura Politehnica, 2005
Series/Report no.: Seria electronică şi telecomunicaţii, Tom 50(64), fasc. 1 (2005)
Abstract: The Electrocardiogram (ECG) is the most important biosignal used by cardiologists for diagnoses purposes, which provides key information about the electrical activity of the heart. Detection of abnormalities in ECG signal is a critical step in health care. This paper briefly introduces theory of wavelet transform and shows a few promising applications in ECG signal processing, as noise suppression , baseline wandering removal, ECG characteristic points detection. Wavelets provide efficient localization in both time and frequency (or scale) due to the multiresolution analysis (provided by the wavelet basis).
URI: http://primo.upt.ro:1701/primo-explore/fulldisplay?docid=40TUT000136477&context=L&vid=40TUT_V1&lang=ro_RO&search_scope=40TUT&adaptor=Local%20Search%20Engine&tab=default_tab&query=any,contains,Wavelet%20transform%20based%20ECG%20signal%20analysis&offset=0 Link Primo
Appears in Collections:Articole stiintifice/Scientific articles

Files in This Item:
File Description SizeFormat 
BUPT_ART_Germán-Salló_f.pdf1.01 MBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.