Ventricular Tachycardia and Ventricular Fibrillation Analysis Based on Jensen-Shannon Divergence Analysis

Article Preview

Abstract:

t is an important method for using electrocardiogram (ECG) to detect and diagnose heart function in clinical practice of medicine. Ventricular tachycardia (VT) and ventricular fibrillation (VF) are serious threats for peoples lives, they often bring about cardiac sudden death. In this paper, the complexity analysis method based on Jensen-Shannon Divergence was used to calculate the complexity of the normal sinus rhythm signals, VT, VF. The study found that the VF was highest, followed by that of VT, and that of normal sinus rhythm signals was minimum. The result can be used to assisted clinical diagnosis.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

712-715

Citation:

Online since:

June 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] J.H. Lin, "Divergence Measure Based on the Shannon Entropy", IEEE Trans. On Inform. Theory, vol. 37, pp.145-151, 1991..

DOI: 10.1109/18.61115

Google Scholar

[2] P.W. Lamberti and A.P. Majtey, "Non-logarithmic Jensen–Shannon divergence", Physica A, vol. 329, pp.81-90, 2003.

DOI: 10.1016/s0378-4371(03)00566-1

Google Scholar

[3] W.L. Hung and M.S. Yang, "On the J-divergence of intuitionistic fuzzy sets with its application to pattern recognition", Information Sci., vol. 178, pp.1641-1650, 2008.

DOI: 10.1016/j.ins.2007.11.006

Google Scholar

[4] J.X. Zhang, Z.Y. Xu, and X.B. Zhao, "Study on the methods for finding borders between coding and noncod- ing DNA regions", China J. of Bioinformatics, vol. 8, pp.110-113, 2010.

Google Scholar

[5] O.A. Rosso, H.A. Larrondo, M.T. Martin, A. Plastino, and M.A. Fuentes, "Distinguishing Noise from Chaos", Phys. Rev. Lett., vol. 99, p.154102, 2007.

DOI: 10.1103/physrevlett.99.154102

Google Scholar

[6] M.T. Martin, A. plastino, and O.A. Rosso, "Generalized statistical complexity measures: Geometrical and analytical properties", Physica A, vol. 369, pp.439-462, (2006)

DOI: 10.1016/j.physa.2005.11.053

Google Scholar