DocumentCode
1346437
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
Volume
47
Issue
7
fYear
2000
fDate
7/1/2000 12:00:00 AM
Firstpage
967
Lastpage
970
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;
fLanguage
English
Journal_Title
Biomedical Engineering, IEEE Transactions on
Publisher
ieee
ISSN
0018-9294
Type
jour
DOI
10.1109/10.846692
Filename
846692
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