Multifractal approach to study of salt induced hypertension and baroreflex dysfunction in salt sensitive Dahl rats

Srimonti Dutta and Kakoli Mukherjee

Physica A: Statistical Mechanics and its Applications, 2019, vol. 515, issue C, 526-536

Abstract: This paper studies the multifractal properties of blood pressure (BP) time series of Salt Sensitive (SS) Dahl rats subject to low salt and high salt diet. The results are compared to those of the non hypertensive SSBN13 rats which are also subject to low salt and high salt diet. The time series exhibits multifractal properties in all cases. The BP time series is more complex in case of SS rats. The SSBN13 rats exhibit a higher degree of correlation compared to the SS rats. The results are interpreted and compared with results of previous investigation performed on the same samples The original time series was further decomposed into sign magnitude series of the increments and the analysis was repeated for the magnitude series. It was very interesting to observe that investigation of the original series as well as the magnitude series provide a better insight to the study. Some parameters which do not show significant variation for original series show considerable amount of change for magnitude series.

Keywords: Hypertension; Baroreflex dysfunction; Multifractality; Degree of multifractality; Degree of correlation (search for similar items in EconPapers)
Date: 2019
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S037843711831238X
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:515:y:2019:i:c:p:526-536

DOI: 10.1016/j.physa.2018.09.105

Access Statistics for this article

Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().