Multiscale Analysis of Microvascular Blood Flow and Oxygenation

Thanaj, M., Chipperfield, A.J. and Clough, G.F. 2018. Multiscale Analysis of Microvascular Blood Flow and Oxygenation. World Congress on Medical Physics and Biomedical Engineering 2018. Prague, Czech Republic 03 - 08 Jun 2018 Springer. https://doi.org/10.1007/978-981-10-9038-7_36

TitleMultiscale Analysis of Microvascular Blood Flow and Oxygenation
AuthorsThanaj, M., Chipperfield, A.J. and Clough, G.F.
TypeConference paper
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.

Year2018
ConferenceWorld Congress on Medical Physics and Biomedical Engineering 2018
PublisherSpringer
Publication dates
Published in print2019
Published30 May 2018
JournalWorld Congress on Medical Physics and Biomedical Engineering 2018
Journal citation68 (2)
ISBN9789811090387
9789811090370
Digital Object Identifier (DOI)https://doi.org/10.1007/978-981-10-9038-7_36

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