14 April 2017 Multifractal spectrum of physiological signals: a mechanism-related approach
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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, Alexey N. Pavlov, Olga N. Pavlova, Olga N. Pavlova, Arkady S. Abdurashitov, Arkady S. Abdurashitov, Pavel A. Arinushkin, Pavel A. Arinushkin, Anastasiya E. Runnova, Anastasiya E. Runnova, Oxana V. Semyachkina-Glushkovskaya, 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); doi: 10.1117/12.2267692; https://doi.org/10.1117/12.2267692
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