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

被引：0
|
作者：
Pavlov, Alexey N. [1 ,2 ]
Sindeeva, Olga A. [1 ]
Sindeev, Sergey S. [1 ]
Pavlova, Olga N. [1 ]
Rybalova, Elena V. [1 ]
Semyachkina-Glushkovskaya, Oxana V. [1 ]
机构：
[1] Saratov NG Chernyshevskii State Univ, Astrakhanskaya Str 83, Saratov 410012, Russia
[2] Saratov State Tech Univ, Politech Skaya Str 77, Saratov 410054, Russia
来源：
DYNAMICS AND FLUCTUATIONS IN BIOMEDICAL PHOTONICS XIII | 2016年 / 9707卷
关键词：
blood pressure; stress; wavelet-transform; multifractal analysis; SLEEP SPINDLES; DYNAMICS; RATS;
D O I：
10.1117/12.2211378
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
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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页数：6
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