Characterizing cerebrovascular dynamics with the wavelet-based multifractal formalism

DOI10.1016/j.physa.2015.09.007zbMath1400.92158OpenAlexW1855007173MaRDI QIDQ1618898

O. A. Sindeeva, S. S. Sindeev, O. N. Pavlova, O. V. Semyachkina-Glushkovskaya, G. M. Shihalov, A. S. Abdurashitov, Alexey N. Pavlov

Publication date: 13 November 2018

Published in: Physica A (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.physa.2015.09.007

zbMATH Keywords

wavelet transformmultifractalitycerebrovascular dynamicslaser Speckle contrast imaging

Mathematics Subject Classification ID

Nontrigonometric harmonic analysis involving wavelets and other special systems (42C40) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Physiological flow (92C35)

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Cites Work

• Multifractal characterization of blood pressure dynamics: stress-induced phenomena
• Multiscality in the dynamics of coupled chaotic systems
• THE MULTIFRACTAL FORMALISM REVISITED WITH WAVELETS
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