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