Risk evaluation of ventricular tachycardia using wavelet transform irregularity of the high-resolution electrocardiogram.

Abstract : A new method for analysis of high-resolution ECG signals using a wavelet transform based on a modified Morlet function is presented. A polynomial filter is used to reduce low-frequency, high-amplitude noise components in the analysed signals. The method is tested on test ECG signals with simulated late potentials and finally verified on two post-infarction patient (PP) groups: 62 PPs with ventricular tachycardia and 44 PPs without arrhythmia. A new quantitative parameter, the irregularity factor, is proposed for discrimination between the study groups. The results show a significant difference in the parameter values for tachycardia patients compared with those for patients without arrhythmia. The sensitivity of the proposed method is 85%, and the specificity is 93%.
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https://hal.archives-ouvertes.fr/hal-00356219
Contributor : Olivier Meste <>
Submitted on : Monday, January 26, 2009 - 9:50:31 PM
Last modification on : Wednesday, January 31, 2018 - 10:24:04 AM

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  • HAL Id : hal-00356219, version 1
  • PUBMED : 11217885

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Piotr Lewandowski, Olivier Meste, R. Maniewski, T. Mroczka, K. Steinbach, et al.. Risk evaluation of ventricular tachycardia using wavelet transform irregularity of the high-resolution electrocardiogram.. Medical and Biological Engineering and Computing, Springer Verlag, 2000, 38 (6), pp.666-73. ⟨hal-00356219⟩

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