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Article Dans Une Revue Medical and Biological Engineering and Computing Année : 2000

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

Résumé

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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Dates et versions

hal-00356219 , version 1 (26-01-2009)

Identifiants

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

Citer

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, 2000, 38 (6), pp.666-73. ⟨hal-00356219⟩
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