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Proceedings Paper

Multifractal spectrum of physiological signals: a mechanism-related approach
Author(s): Alexey N. Pavlov; Olga N. Pavlova; Arkady S. Abdurashitov; Pavel A. Arinushkin; Anastasiya E. Runnova; Oxana V. Semyachkina-Glushkovskaya
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Paper Abstract

In this paper we discuss an approach for mechanism-related analysis of physiological signals performed with the wavelet-based multifractal formalism. This approach assumes estimation of the singularity spectrum for the band-pass filtered processes at different physiological conditions in order to provide explanation of the occurred changes in the Hölder exponents and the multi-fractality degree. We illustrate the considered approach using two examples, namely, the dynamics of the cerebral blood flow (CBF) and the electrical activity of the brain.

Paper Details

Date Published: 14 April 2017
PDF: 6 pages
Proc. SPIE 10337, Saratov Fall Meeting 2016: Laser Physics and Photonics XVII; and Computational Biophysics and Analysis of Biomedical Data III, 1033711 (14 April 2017); doi: 10.1117/12.2267692
Show Author Affiliations
Alexey N. Pavlov, Saratov State Technical Univ. (Russian Federation)
Saratov State Univ. (Russian Federation)
Olga N. Pavlova, Saratov State Univ. (Russian Federation)
Arkady S. Abdurashitov, Saratov State Univ. (Russian Federation)
Pavel A. Arinushkin, Saratov State Univ. (Russian Federation)
Anastasiya E. Runnova, Saratov State Technical Univ. (Russian Federation)
Oxana V. Semyachkina-Glushkovskaya, Saratov State Univ. (Russian Federation)


Published in SPIE Proceedings Vol. 10337:
Saratov Fall Meeting 2016: Laser Physics and Photonics XVII; and Computational Biophysics and Analysis of Biomedical Data III
Vladimir L. Derbov; Vladimir L. Derbov; Dmitry Engelevich Postnov; Dmitry Engelevich Postnov, Editor(s)

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