WAVELET ANALYSIS OF ABNORMAL ECGS
Abstract
vioft2nntf2t|tblJournal|Abstract_paper|0xf4ffd24d15000000d7f1020001000300
Detection of the warning signals by the heart can be diagnosed from ECG. An accurate and reliable diagnosis of ECG is very important however which is cumbersome and at times ambiguous in time domain due to the presence of noise. Study of ECG in wavelet domain using both continuous Wavelet transform (CWT) and discrete Wavelet transform (DWT), with well known wavelet as well as a wavelet proposed by the authors for this investigation is found to be useful and yields fairly reliable results. In this study, Wavelet analysis of ECGs of Normal, Hypertensive, Diabetic and Cardiac are carried out. The salient feature of the study is that detection of P and T phases in wavelet domain is feasible which are otherwise feeble or absent in raw ECGs.

Authors
Vasudha Nannaparaju1, Sundararajan Narasimman2
Vasavi College of Engineering, India1, Sultan Qaboos University, Sultanate of Oman2

Keywords
Electrocardiogram, Discrete Wavelet Transform, Continuous Wavelet Transform, P and T Phases
Yearly Full Views
JanuaryFebruaryMarchAprilMayJuneJulyAugustSeptemberOctoberNovemberDecember
000000000000
Published By :
ICTACT
Published In :
ICTACT Journal on Image and Video Processing
( Volume: 4 , Issue: 3 , Pages: 733-736 )
Date of Publication :
February 2014
Page Views :
149
Full Text Views :

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.