A Novel Detection of Ventricular Tachycardia and Fibrillation Based on Degree Centrality of Complex Network
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-319-63309-1_30
Reference26 articles.
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2. Zhang, X.S., Zhu, Y.S., Thakor, N.V., Wang, Z.Z.: Detecting ventricular tachycardia and fibrillation by complexity measure. IEEE Trans. Biomed. Eng. 46(5), 548–555 (1999)
3. Zhang, H.X., Zhu, Y.S., Xu, Y.H.: Complexity information based analysis of pathological ECG rhythm for ventricular tachycardia and ventricular fibrillation. Int. J. Bifurc. Chaos 12(10), 2293–2303 (2002)
4. Zhang, H.X., Zhu, Y.S.: Qualitative chaos analysis for ventricular tachycardia and fibrillation based on symbol complexity. Med. Eng. Phys. 23(8), 523–528 (2001)
5. Owis, M.I., Abou-Zied, A.H., Youssef, A.B.M.: Study of features based on nonlinear dynamical modeling in ECG arrhythmia detection and classification. IEEE Trans. Biomed. Eng. 49(7), 733–736 (2002)
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