Multifractal spectrum of physiological signals: a mechanism-related approach

Alexey N. Pavlov; Olga N. Pavlova; Arkady S. Abdurashitov; Pavel A. Arinushkin; Anastasiya E. Runnova; Oxana V. Semyachkina-Glushkovskaya

doi:10.1117/12.2267692

14 April 2017 Multifractal spectrum of physiological signals: a mechanism-related approach

Alexey N. Pavlov, Olga N. Pavlova, Arkady S. Abdurashitov, Pavel A. Arinushkin, Anastasiya E. Runnova, Oxana V. Semyachkina-Glushkovskaya

Author Affiliations +

Proceedings Volume 10337, Saratov Fall Meeting 2016: Laser Physics and Photonics XVII; and Computational Biophysics and Analysis of Biomedical Data III; 1033711 (2017) https://doi.org/10.1117/12.2267692
Event: Saratov Fall Meeting 2016: Fourth International Symposium on Optics and Biophotonics, 2016, Saratov, Russian Federation

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.

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Alexey N. Pavlov, Olga N. Pavlova, Arkady S. Abdurashitov, Pavel A. Arinushkin, Anastasiya E. Runnova, and Oxana V. Semyachkina-Glushkovskaya "Multifractal spectrum of physiological signals: a mechanism-related approach", 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); https://doi.org/10.1117/12.2267692

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