Quantitative evaluation of a wavelet-based method in ventricular late potential detection
Author:
Publisher
Elsevier BV
Subject
Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software
Reference21 articles.
1. A. Taboada Crispi, Improving ventricular late potentials detection effectiveness, Ph.D. Thesis, The University of New Brunswick, Canada, 2002.
2. Comparative analysis on wavelet-based detection of finite duration low-amplitude signals related to ventricular late potentials;Mousa;Physiol. Meas.,2004
3. Use of signals in the terminal QRS complex to identify patients with ventricular tachycardia after myocardial infarction;Simson;Circulation,1981
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5. Beat-to-beat ECG ventricular late potentials variance detection by filter bank and wavelet transform as beat-sequence filter;Vai;IEEE Trans. Biomed. Eng.,2004
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