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Analysis of the Noise Immunity of Emission Prediction in the Dynamics of the Heartbeat Using Information about Short-Term and Long-Term Dependencies

DOI: 10.4236/oalib.1105888, PP. 1-12

Subject Areas: Computational Physics

Keywords: Physiological Systems, Cardiology, Multifractal Series, Prognosis, Analysis

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Abstract

A comparative analysis of the effectiveness of prediction using PRT and RIA approaches, using, respectively, exclusively the linear component of long-term memory and, along with the linear, non-linear component, is given. The noise immunity of prediction is considered in both approaches in the presence of ad-ditive noise with a normal or uniform distribution.

Cite this paper

Abdullayev, N. T. , Dyshin, O. A. , Ibrahimova, I. D. and Ahmadova, K. R. (2019). Analysis of the Noise Immunity of Emission Prediction in the Dynamics of the Heartbeat Using Information about Short-Term and Long-Term Dependencies. Open Access Library Journal, 6, e5888. doi: http://dx.doi.org/10.4236/oalib.1105888.

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