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Computer Research and Modeling, 2014, Volume 6, Issue 5, Pages 775–791 (Mi crm358)  

ANALYSIS AND MODELING OF COMPLEX LIVING SYSTEMS

R/s method application in neurological speech disorders analyses

N. P. Kuzenkov, V. M. Loginov

Institute of mathematics, physics and informatics of V. P. Astafiev Krasnoyarsk state pedagogical university, 7 Perensona str., Krasnoyarsk, 660049, Russia

Abstract: Based on modified rescaled range scale computation algorithm, the technique of Hurst exponent and its characteristic time estimation is proposed. The approach of increase the accuracy and simplification automatic Hurst exponent calculation is developed. The Hurst exponent and characteristic time is calculated for power time sets of speech signals with various motor pathologies (aphasias and dysarthrias). Results is statistically analyzed, the correlation between Hurst exponent and characteristic time is estimated.

Keywords: Hurst exponent, nonlinear dynamics, aphasia, dysarthria, permutation test, diagnostics.

Funding Agency Grant Number
Russian Humanitarian Science Foundation 12-06-00256


DOI: https://doi.org/10.20537/2076-7633-2014-6-5-775-791

Full text: PDF file (414 kB)
Full text: http://crm.ics.org.ru/.../2194
References: PDF file   HTML file

UDC: 530.182; 57.087.1; 612.789.3
Received: 07.05.2014
Revised: 22.10.2014

Citation: N. P. Kuzenkov, V. M. Loginov, “R/s method application in neurological speech disorders analyses”, Computer Research and Modeling, 6:5 (2014), 775–791

Citation in format AMSBIB
\Bibitem{KuzLog14}
\by N.~P.~Kuzenkov, V.~M.~Loginov
\paper R/s method application in neurological speech disorders analyses
\jour Computer Research and Modeling
\yr 2014
\vol 6
\issue 5
\pages 775--791
\mathnet{http://mi.mathnet.ru/crm358}
\crossref{https://doi.org/10.20537/2076-7633-2014-6-5-775-791}


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