The University of Southampton
University of Southampton Institutional Repository
Warning ePrints Soton is experiencing an issue with some file downloads not being available. We are working hard to fix this. Please bear with us.

Multi-scale, multi-domain analysis of microvascular flow dynamics

Multi-scale, multi-domain analysis of microvascular flow dynamics
Multi-scale, multi-domain analysis of microvascular flow dynamics
To date, time and frequency domain metrics of signals acquired through laser Doppler fluximetry have been unable to provide consistent and robust measures of the changes that occur in the microcirculation either in healthy individuals at rest, or in response to a provocation, or in patient cohorts. Recent studies have shown that in many disease states, such as metabolic and cardiovascular disease, there appears to be a reduction in the adaptive capabilities of the microvascular network and a consequent reduction in physiological information content. Here, we introduce nonlinear measures for assessing the information content of fluximetry signals and demonstrate how they can yield deeper understanding of network behaviour. In addition, we show how these methods may be adapted to accommodate the multiple time scales modulating blood flow and how they can be used in combination with time and frequency domain metrics to discriminate more effectively between the different mechanistic influences on network properties.
0958-0670
Chipperfield, A.J.
524269cd-5f30-4356-92d4-891c14c09340
Thanaj, M.
fb9baacc-4255-483d-8efa-e4fa983a9b2f
Clough, G.F.
9f19639e-a929-4976-ac35-259f9011c494
Chipperfield, A.J.
524269cd-5f30-4356-92d4-891c14c09340
Thanaj, M.
fb9baacc-4255-483d-8efa-e4fa983a9b2f
Clough, G.F.
9f19639e-a929-4976-ac35-259f9011c494

Chipperfield, A.J., Thanaj, M. and Clough, G.F. (2019) Multi-scale, multi-domain analysis of microvascular flow dynamics. Experimental Physiology. (doi:10.1113/EP087874).

Record type: Article

Abstract

To date, time and frequency domain metrics of signals acquired through laser Doppler fluximetry have been unable to provide consistent and robust measures of the changes that occur in the microcirculation either in healthy individuals at rest, or in response to a provocation, or in patient cohorts. Recent studies have shown that in many disease states, such as metabolic and cardiovascular disease, there appears to be a reduction in the adaptive capabilities of the microvascular network and a consequent reduction in physiological information content. Here, we introduce nonlinear measures for assessing the information content of fluximetry signals and demonstrate how they can yield deeper understanding of network behaviour. In addition, we show how these methods may be adapted to accommodate the multiple time scales modulating blood flow and how they can be used in combination with time and frequency domain metrics to discriminate more effectively between the different mechanistic influences on network properties.

Text
Chipperfield et all Exp Phys 2020
Download (1MB)

More information

Accepted/In Press date: 23 December 2019
e-pub ahead of print date: 25 December 2019

Identifiers

Local EPrints ID: 436867
URI: http://eprints.soton.ac.uk/id/eprint/436867
ISSN: 0958-0670
PURE UUID: 52cd431c-2cc6-4f6c-bff8-8bf81f100cfd
ORCID for A.J. Chipperfield: ORCID iD orcid.org/0000-0002-3026-9890
ORCID for M. Thanaj: ORCID iD orcid.org/0000-0002-1789-7112
ORCID for G.F. Clough: ORCID iD orcid.org/0000-0002-6226-8964

Catalogue record

Date deposited: 13 Jan 2020 17:30
Last modified: 22 Nov 2021 07:56

Export record

Altmetrics

Contributors

Author: M. Thanaj ORCID iD
Author: G.F. Clough ORCID iD

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×