Wavelet time entropy, T wave morphology and myocardial ischemia

Abstract

Using wavelets, we computed the entropy of the signal at various frequency levels (Wavelet Time Entropy) and thus find an optimal measure to differentiate normal states from ischemic ones. This new indicator is independent from the ST segment and yet provide a conclusive detection of the ischemic states.

Keywords

Wavelets, Electrocardiology, Myocardial ischemia, ST segment, T wave abnormalities.

Reference

Daniel Lemire, Chantal Pharand, Jean-Claude Rajaonah, Bruno Dubé, A.-Robert LeBlanc, Wavelet time entropy, T wave morphology and myocardial ischemia, IEEE Transactions in Biomedical Engineering, vol. 47, no. 7, July 2000.

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BibTeX

@article{lemireieee2000,
   author    = {Daniel Lemire and Chantal Pharand and Jean-Claude Rajaonah and Bruno Dubé and A.-Robert LeBlanc},
   title     = {Wavelet time entropy, T wave morphology and myocardial ischemia},
   journal   = {IEEE Transactions in Biomedical Engineering},
   year      = {2000},
   month     = {July},
   volume    = {47},
   number    = {7},
   url = {http://www.daniel-lemire.com/fr/documents/igb/IGBarticle28sept98_13.pdf}
}

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Citations

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  3. R. LePage, Analyse de l'onde P d'un électrocardiogramme: application au risque de fibrillation auriculaire, Ph.D. Thesis, Ecole Nationale Supérieure des Télécommunications de Bretagne, February 2003.
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