Fuzzy Unordered Rule Induction for evaluating cardiac Arrhythmia
Author:
Publisher
Springer Science and Business Media LLC
Subject
Biomedical Engineering
Link
http://link.springer.com/content/pdf/10.1007/s13534-013-0096-9.pdf
Reference22 articles.
1. Couderc JP, Xia X, Peterson DR, McNitt S, Zhao H, Polonsky S, Zareba W. T-wave morphology abnormalities in benign, potent, and arrhythmogenic I〈 sub〉kr〈/sub〉 inhibition. Heart Rhythm. 2011; 8(7):1036–1043.
2. El-Sherif N, Caref EB, Yin H, Restivo M. The electrophysiological mechanism of ventricular arrhythmias in the long QT syndrome: tridimensional mapping of activation and recovery patterns. Circ Res. 1996; 79(3):474–492.
3. Saxena SC, Kumar V, Hamde ST. Feature extraction from ECG signals using wavelet transforms for disease diagnostics. Int J Syst Sci. 2002; 33(13):1073–1085.
4. Raghavendra BS, Bera D, Bopardikar AS, Narayanan R. Cardiac arrhythmia detection using dynamic time warping of ECG beats in e-healthcare systems. IEEE Int Sym Wireless, Mobile, Multimedia Networks. 2011. pp. 1–6.
5. McSharry PE, Clifford GD, Terassenko L, Smith LA. A dynamical model for generating synthetic electrocardiogram signals. IEEE T Bio-med Eng. 2003; 50(3):289–294.
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