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Multiscale analysis of microvascular blood flow and oxygenation

Multiscale analysis of microvascular blood flow and oxygenation
Multiscale analysis of microvascular blood flow and oxygenation

The purpose of this study is to investigate the feasibility of nonlinear methods for differentiating between haemodynamic steady states as a potential method of identifying microvascular dysfunction. As conventional nonlinear measures do not take into account the multiple time scales of the processes modulating microvascular function, here we evaluate the efficacy of multiscale analysis as a better discriminator of changes in microvascular health. We describe the basis and the implementation of the multiscale analysis of the microvascular blood flux (BF) and tissue oxygenation (OXY: oxyHb) signals recorded from the skin of 15 healthy male volunteers, age 29.2 ± 8.1y (mean ± SD), in two haemodynamic steady states at 33 °C and during warming at 43 °C to generate a local thermal hyperaemia (LTH). To investigate the influence of varying process time scales, multiscale analysis is employed on Sample entropy (MSE), to quantify signal regularity and Lempel and Ziv (MSLZ) and effort to compress (METC) complexity, to measure the randomness of the time series. Our findings show that there was a good discrimination in the multiscale indexes of both the BF (p = 0.001) and oxyHb (MSE, p = 0.002; METC and MSLZ, p < 0.001) signals between the two haemodynamic steady states, having the highest classification accuracy in oxyHb signals (MSE: 86.67%, MSLZ: 90.00% and METC: 93.33%). This study shows that “multiscale-based” analysis of blood flow and tissue oxygenation signals can identify different microvascular functional states and thus has potential for the clinical assessment and diagnosis of pathophysiological conditions.

Blood flow, Effort to compress complexity, Lempel and Ziv complexity, Multiscale analysis, Sample entropy, Skin microcirculation, Tissue oxygenation
1680-0737
195-200
Thanaj, Marjola
fb9baacc-4255-483d-8efa-e4fa983a9b2f
Chipperfield, Andrew J.
524269cd-5f30-4356-92d4-891c14c09340
Clough, Geraldine F.
9f19639e-a929-4976-ac35-259f9011c494
Thanaj, Marjola
fb9baacc-4255-483d-8efa-e4fa983a9b2f
Chipperfield, Andrew J.
524269cd-5f30-4356-92d4-891c14c09340
Clough, Geraldine F.
9f19639e-a929-4976-ac35-259f9011c494

Thanaj, Marjola, Chipperfield, Andrew J. and Clough, Geraldine F. (2019) Multiscale analysis of microvascular blood flow and oxygenation. IFMBE Proceedings, 68 (2), 195-200. (doi:10.1007/978-981-10-9038-7_36).

Record type: Article

Abstract

The purpose of this study is to investigate the feasibility of nonlinear methods for differentiating between haemodynamic steady states as a potential method of identifying microvascular dysfunction. As conventional nonlinear measures do not take into account the multiple time scales of the processes modulating microvascular function, here we evaluate the efficacy of multiscale analysis as a better discriminator of changes in microvascular health. We describe the basis and the implementation of the multiscale analysis of the microvascular blood flux (BF) and tissue oxygenation (OXY: oxyHb) signals recorded from the skin of 15 healthy male volunteers, age 29.2 ± 8.1y (mean ± SD), in two haemodynamic steady states at 33 °C and during warming at 43 °C to generate a local thermal hyperaemia (LTH). To investigate the influence of varying process time scales, multiscale analysis is employed on Sample entropy (MSE), to quantify signal regularity and Lempel and Ziv (MSLZ) and effort to compress (METC) complexity, to measure the randomness of the time series. Our findings show that there was a good discrimination in the multiscale indexes of both the BF (p = 0.001) and oxyHb (MSE, p = 0.002; METC and MSLZ, p < 0.001) signals between the two haemodynamic steady states, having the highest classification accuracy in oxyHb signals (MSE: 86.67%, MSLZ: 90.00% and METC: 93.33%). This study shows that “multiscale-based” analysis of blood flow and tissue oxygenation signals can identify different microvascular functional states and thus has potential for the clinical assessment and diagnosis of pathophysiological conditions.

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More information

Accepted/In Press date: 30 May 2018
e-pub ahead of print date: 30 May 2018
Published date: 2019
Venue - Dates: World Congress on Medical Physics and Biomedical Engineering 2018, Czech Republic, 2018-06-03 - 2018-06-08
Keywords: Blood flow, Effort to compress complexity, Lempel and Ziv complexity, Multiscale analysis, Sample entropy, Skin microcirculation, Tissue oxygenation

Identifiers

Local EPrints ID: 421670
URI: http://eprints.soton.ac.uk/id/eprint/421670
ISSN: 1680-0737
PURE UUID: 1457916d-1ccd-4529-abc5-aee7c9271ec6
ORCID for Marjola Thanaj: ORCID iD orcid.org/0000-0002-1789-7112
ORCID for Andrew J. Chipperfield: ORCID iD orcid.org/0000-0002-3026-9890
ORCID for Geraldine F. Clough: ORCID iD orcid.org/0000-0002-6226-8964

Catalogue record

Date deposited: 20 Jun 2018 16:30
Last modified: 07 Oct 2020 01:48

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Author: Marjola Thanaj ORCID iD

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