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Wavelet time entropy, T wave morphology and myocardial ischemia

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CONTRIBUTORS:
  Author Lemire, Daniel (Université du Québec à Montréal (UQAM))
JOURNAL:
  IEEE Transactions in Biomedical Engineering, 47(7), ?? - ??.
YEAR: 2000
PUB TYPE: Journal Article
SUBJECT(S): Wavelets, Electrocardiology, Myocardial ischemia, ST segment, T wave abnormalities.
DISCIPLINE: Engineering and Applied Sciences
HTTP: http://www.ondelette.com/lemire/abstracts/IEEE2000.html
LANGUAGE: English
PUB ID: 103-399-838 (Last edited on 2004/02/18 19:27:42 US/Mountain)
SPONSOR(S):
 
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.
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