Enhanced multiresolution wavelet analysis of cerebrovascular dynamics

A.N. Pavlov and O.N. Pavlova

Chaos, Solitons & Fractals, 2021, vol. 146, issue C

Abstract: The responses of cerebral circulation to an abrupt increase in blood pressure caused by pharmacologically induced hypertension are compared by means of multiresolution wavelet analysis (MWA), which uses standard deviations of expansion coefficients as diagnostic criteria, and an enhanced approach, combining MWA with analysis of long-range power-law correlations in the wavelet domain. We discuss how applying both of these approaches elicits different types of reactions of large blood vessels in the brain and capillary network and show that the use of simple statistical measures limits the information that can be extracted during data processing. Taking into account the correlation features in addition to the width of the probability density is a possible way to improve the characterization of the effects produced by “jumps” in blood pressure.

Keywords: Multiresolution wavelet analysis; Detrended fluctuation analysis; Long-range correlations; Cerebral blood flow (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0960077921002782
Full text for ScienceDirect subscribers only

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:chsofr:v:146:y:2021:i:c:s0960077921002782

DOI: 10.1016/j.chaos.2021.110924

Access Statistics for this article

Chaos, Solitons & Fractals is currently edited by Stefano Boccaletti and Stelios Bekiros

More articles in Chaos, Solitons & Fractals from Elsevier
Bibliographic data for series maintained by Thayer, Thomas R. ().