Recognition of short-term changes in physiological signals with the wavelet-based multifractal formalism

Alexey N. Pavlov; Olga A. Sindeeva; Sergey S. Sindeev; Olga N. Pavlova; Elena V. Rybalova; Oxana V. Semyachkina-Glushkovskaya

doi:10.1117/12.2211378

17 March 2016 Recognition of short-term changes in physiological signals with the wavelet-based multifractal formalism

Alexey N. Pavlov, Olga A. Sindeeva, Sergey S. Sindeev, Olga N. Pavlova, Elena V. Rybalova, Oxana V. Semyachkina-Glushkovskaya

Author Affiliations +

Proceedings Volume 9707, Dynamics and Fluctuations in Biomedical Photonics XIII; 970718 (2016) https://doi.org/10.1117/12.2211378
Event: SPIE BiOS, 2016, San Francisco, California, United States

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.

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Alexey N. Pavlov, Olga A. Sindeeva, Sergey S. Sindeev, Olga N. Pavlova, Elena V. Rybalova, and Oxana V. Semyachkina-Glushkovskaya "Recognition of short-term changes in physiological signals with the wavelet-based multifractal formalism", Proc. SPIE 9707, Dynamics and Fluctuations in Biomedical Photonics XIII, 970718 (17 March 2016); https://doi.org/10.1117/12.2211378

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