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Comparative Analysis of Electrocardiogram Data by Means of Temporal Locality Approach with Additional Normalization

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Transactions on Computational Science I

Part of the book series: Lecture Notes in Computer Science ((TCOMPUTATSCIE,volume 4750))

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Abstract

Evolution of cardiac activity is investigated by means of nonlinear dynamics, namely the method of temporal localization on the attractor reconstructed from a digitized electrocardiogram signal. Convergence for the function of topological instability at changing dimensionality is proven both theoretically and numerically, independently from personal features of subjects in a latter case. This provides an opportunity to estimate the complexity (expressed through the number of freedom degrees) of cardiac dynamics. On the other hand, this instability function normalized by its average displays a different kind of behavior that somewhat differs for various persons and reflects their individual features. The essential reduction of computation time and necessary statistics are also attained by means of the developed algorithm.

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Authors and Affiliations

  1. Institute of Informatics Problems NAS of Belarus, Surganov St. 6, 220012, Minsk, Belarus

    Victor F. Dailyudenko

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  1. Victor F. Dailyudenko
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Marina L. Gavrilova C. J. Kenneth Tan

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Dailyudenko, V.F. (2008). Comparative Analysis of Electrocardiogram Data by Means of Temporal Locality Approach with Additional Normalization. In: Gavrilova, M.L., Tan, C.J.K. (eds) Transactions on Computational Science I. Lecture Notes in Computer Science, vol 4750. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-79299-4_6

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  • DOI: https://doi.org/10.1007/978-3-540-79299-4_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-79298-7

  • Online ISBN: 978-3-540-79299-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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