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International Workshop on Biometric Authentication

BIOMET 2014: Biometric Authentication pp 258–264Cite as

Multifractal Analysis of Posturograms of Young and Elderly Persons

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Abstract

Multifractality \(Sw\), auto- and crosscorrelations \(h_2\) of mediolateral and anteroposterior postural sways of healthy young and elderly subjects is studied by the MDFA, WTMM and MDCA methods. MDFA and MDCA reveal a random walk like time series with \(h_2\sim 1.7\). Vibrating soles or aging decreases \(h_2\) of the elderly persons. \(Sw\) of the mediolateral sways is lesser than the anteroposterior sways. The random permutation of the series vanishes the multifractality which is related with the long-range power-low correlations.

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Author information

Authors and Affiliations

  1. Institute of Information and Communication Technologies, Institute of General and Inorganic Chemistry, Bulgarian Academy of Sciences, Sofia, Bulgaria

    Peter Dojnow

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  1. Peter Dojnow
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Correspondence to Peter Dojnow .

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Editors and Affiliations

  1. University of Pavia, Pavia, Italy

    Virginio Cantoni

  2. Bulgarian Academy of Sciences, Sofia, Bulgaria

    Dimo Dimov

  3. University of Sassari, Alghero, Sassari, Italy

    Massimo Tistarelli

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Dojnow, P. (2014). Multifractal Analysis of Posturograms of Young and Elderly Persons. In: Cantoni, V., Dimov, D., Tistarelli, M. (eds) Biometric Authentication. BIOMET 2014. Lecture Notes in Computer Science(), vol 8897. Springer, Cham. https://doi.org/10.1007/978-3-319-13386-7_21

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  • DOI: https://doi.org/10.1007/978-3-319-13386-7_21

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-13385-0

  • Online ISBN: 978-3-319-13386-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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