JBiSE  Vol.6 No.4 , April 2013
On the basis of the morphology of the T-wave alternans: A Poincare mapping method research
ABSTRACT

Presently T-wave alternans (TWA) has become a clinical index of non-invasive diagnosis for heart sudden death prediction, and detecting T-wave alternate accurately is particularly important. This paper introduces an algorithm for detecting TWA using Poincare mapping method which is a technique for nonlinear dynamic systems to display periodic behavior. Sample series of beat to beat cycles were selected to prepare Poincare mapping method. Vector Angle Index (VAI), which is the mean of the difference between θi (the angle between the line connecting the i point to the origin and the X axis) and 45 degrees was used to present the presence or absence of TWA. The value of 0.9 rad ≤ VAI ≤ 1.03 rad is accepted as a level determinative for presence of TWA. VAI via Poincare mapping method (PM) is used for correlation analysis with T-wave alternans voltage (Vtwa) by way of the spectral method (SM). The cross-correlation coefficient between Vtwa and VAI is γ = 0.8601. The algorithm can identify the absence and presence of TWA accurately and provide idea for further study of TWA-PM.


Cite this paper
Guo, H. , Zhao, J. , Li, F. and Li, T. (2013) On the basis of the morphology of the T-wave alternans: A Poincare mapping method research. Journal of Biomedical Science and Engineering, 6, 504-507. doi: 10.4236/jbise.2013.64064.
References
[1]   Janusekl, D., Karczmarewicz, S., et al. (2008) T-wave alternans influence on vectocardiographic parameters. Computers in Cardiology, 35, 327-328.

[2]   Martinez, J.P. and Olmos, S. (2005) Methodological principles of T-wave alternans analysis: A unified framework. IEEE Transactions on Biomedical Engineering, 52, 599-613. doi:10.1109/TBME.2005.844025

[3]   Pawel, S. and Jan, R. (2002) Poincare mapping for detecting abnormal dynamics of cardiac repolarization. IEEE Engineering in Medicine and Biology, 1-2, 62-65.

[4]   Zhao, J., Han, Q.Y., et al. (2003) Reseach on the mobile monitor of life. Ph.D. Thesis, Beijing University of Technology, Beijing.

[5]   Wei, L., Zhao, J., Xu, F.Z., et al. (2009) Reseach on detecting the nonstationary T-wave aternans (TWA) based on correlation method. Progress in Binomedicine, 9, 5151- 3134.

[6]   Li, F., Zhao, J., et al. (2011) Poincare mapping: A potential method for detection of T-wave alternans. The 3rd International Conference on Bioinformatics and Biomedical Technology, Sanya, 188-191.

[7]   Xu, F.-Z., Zhao, J., et al. (2010) Poincare mapping method for T-wave alternans using a nonlinear dynamic system. Journal of Clinical Research, 14, 1645-1648.

[8]   Strumilo, P. and Ruta, J. (2002) Poincare mapping for detecting abnormal dynamics of cardiac repolarization. IEEE Engineering in Medicine & Biology, 1-2, 62-65. doi:10.1109/51.993195

[9]   Jan, R. and Pawel, S. (2001) Usefulness of the Poincare mapping in detection of T-wave althernans in precordial leads of standard ECG—a comparision with the spectral method. Diagnostics and Medical Technology, 7, 471- 476.

[10]   Zhang, Z.G., Zhang, J.X. and Li, C.Y. (2007) Development of the T-wave alternans. International Journal of Biomedical Engineering, 30, 181-186.

[11]   Parker, T.S. and Chua, L.O. (1989) Premature numerical algorithms for chaotic systems. Springer-Verlag, New York. doi:10.1007/978-1-4612-3486-9

[12]   Xu, Z., Ge, J.G. and Xu, Q.P. (2007) Based on the RR period second derivative difference heart rate variability analysis of Poincare mapping method. Journal of Southeast University, 37, 395-398.

 
 
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