Wavelet time entropy, T wave morphology and myocardial ischemia.
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.
Lemire
D
D
Insitut de génie biomédical, Université de Montréal, Centre-Ville, Canada. daniel.lemire@videotron.ca
Pharand
C
C
Rajaonah
J C
JC
Dubé
B
B
LeBlanc
A R
AR
D000465:Algorithms; D001698:Biomedical Engineering; D004562:Electrocardiography; D006801:Humans; D008955:Models, Cardiovascular; D017202:Myocardial Ischemia / Q000175:diagnosis* / Q000503:physiopathology; D012815:Signal Processing, Computer-Assisted