• 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