DocumentCode :
319696
Title :
A wavelet based assessment of abnormal intra-QRS potentials in patients with ventricular tachycardia
Author :
Bezerianos, A. ; Popescu, M. ; Laskaris, N. ; Manolis, A. ; Hiladakis, I. ; Stathopoulos, C. ; Cristea, P.
Author_Institution :
Dept. of Med. Phys., Patras Univ., Greece
Volume :
4
fYear :
1996
fDate :
31 Oct-3 Nov 1996
Firstpage :
1394
Abstract :
The concept of late potentials may be expanded if early abnormal activation of the myocardium can be linked to arrhythmogenesis. The detection of abnormal intra-QRS potentials in patients with ventricular tachycardia has been achieved from the raw ECG data based upon a two step wavelet transformation/feature extraction process. The beat-to-beat variance of the QRS-corresponding wavelet coefficients and the modulus maxima evolution across scales have been tested as distinguishing features of arrhythmogenicity. Their comparison with convential late potentials revealed improvements in ventricular tachycardia risk assessment
Keywords :
electrocardiography; feature extraction; medical signal processing; wavelet transforms; QRS-corresponding wavelet coefficients; abnormal intra-QRS potentials; arrhythmogenesis; beat-to-beat variance; electrodiagnostics; modulus maxima evolution across scales; raw ECG data; two step wavelet transformation/feature extraction process; ventricular tachycardia patients; ventricular tachycardia risk assessment; wavelet based assessment; Cardiology; Data mining; Electrocardiography; Feature extraction; Linearity; Myocardium; Physics; Testing; Wavelet coefficients; Wavelet transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 1996. Bridging Disciplines for Biomedicine. Proceedings of the 18th Annual International Conference of the IEEE
Conference_Location :
Amsterdam
Print_ISBN :
0-7803-3811-1
Type :
conf
DOI :
10.1109/IEMBS.1996.647471
Filename :
647471
Link To Document :
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