Title :
Wavelet time entropy, T wave morphology and myocardial ischemia
Author :
Lemire, Daniel ; Pharand, Chantal ; Rajaonah, Jean-Claude ; Dubé, Bruce ; LeBlanc, A.Robert
Author_Institution :
Inst. de Genie Biomed., Montreal Univ., Que., Canada
fDate :
7/1/2000 12:00:00 AM
Abstract :
Using wavelets, the authors 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 :
diseases; electrocardiography; entropy; medical signal processing; muscle; wavelet transforms; ECG analysis; ST segment; T wave morphology; electrodiagnostics; ischemic states; myocardial ischemia; normal states differentiation; signal entropy computation; wavelet time entropy; Entropy; Frequency measurement; Heart rate detection; Heart rate variability; Ischemic pain; Medical services; Morphology; Myocardium; Time measurement; Wavelet coefficients; Algorithms; Biomedical Engineering; Electrocardiography; Humans; Models, Cardiovascular; Myocardial Ischemia; Signal Processing, Computer-Assisted;
Journal_Title :
Biomedical Engineering, IEEE Transactions on
