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Proceedings Paper

Recognition of short-term changes in physiological signals with the wavelet-based multifractal formalism
Author(s): Alexey N. Pavlov; Olga A. Sindeeva; Sergey S. Sindeev; Olga N. Pavlova; Elena V. Rybalova; Oxana V. Semyachkina-Glushkovskaya
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Paper Abstract

In this paper we address the problem of revealing and recognition transitions between distinct physiological states using quite short fragments of experimental recordings. With the wavelet-based multifractal analysis we characterize changes of complexity and correlation properties in the stress-induced dynamics of arterial blood pressure in rats. We propose an approach for association revealed changes with distinct physiological regulatory mechanisms and for quantifying the influence of each mechanism.

Paper Details

Date Published: 17 March 2016
PDF: 6 pages
Proc. SPIE 9707, Dynamics and Fluctuations in Biomedical Photonics XIII, 970718 (17 March 2016); doi: 10.1117/12.2211378
Show Author Affiliations
Alexey N. Pavlov, Saratov State Univ. (Russian Federation)
Saratov State Technical Univ. (Russian Federation)
Olga A. Sindeeva, Saratov State Univ. (Russian Federation)
Sergey S. Sindeev, Saratov State Univ. (Russian Federation)
Olga N. Pavlova, Saratov State Univ. (Russian Federation)
Elena V. Rybalova, Saratov State Univ. (Russian Federation)
Oxana V. Semyachkina-Glushkovskaya, Saratov State Univ. (Russian Federation)


Published in SPIE Proceedings Vol. 9707:
Dynamics and Fluctuations in Biomedical Photonics XIII
Valery V. Tuchin; Kirill V. Larin; Martin J. Leahy; Ruikang K. Wang, Editor(s)

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