The University of Southampton
University of Southampton Institutional Repository

Time-dependent behavior of microvascular blood flow and oxygenation: a predictor of functional outcomes

Time-dependent behavior of microvascular blood flow and oxygenation: a predictor of functional outcomes
Time-dependent behavior of microvascular blood flow and oxygenation: a predictor of functional outcomes
This study investigates the timedependent behaviour and algorithmic complexity of low frequency, periodic oscillations in blood flux and oxygenation signals from the microvasculature. Methods: Microvascular blood flux (BF) and oxygenation (OXY: oxyHb, deoxyHb, totalHb and SO2%) was recorded from 15 healthy young adult males using combined laser Doppler fluximetry and white light spectroscopy with local skin temperature clamped to 33°C and during local thermal hyperaemia (LTH) at 43°C. Power spectral density (PSD) of the BF and OXY signals was evaluated within the frequency range (0.0095-1.6Hz). Signal complexity was determined using the Lempel-Ziv (LZ) algorithm. Results: Foldincrease in BF during LTH was 15.6 (10.3,22.8) and in OxyHb 4.8 (3.5,5.9) (median, range). All BF and OXY signals exhibited multiple oscillatory components with clear differences in signal power distribution across frequency bands at 33°C and 43°C. Significant reduction in the intrinsic variability and complexity of the microvascular signals during LTH was found, with mean LZ complexity of BF and OxyHb falling by 25% and 49%, respectively (p<0.001). Conclusion: These results provide corroboration that in human skin microvascular blood flow and oxygenation are influenced by multiple, time-varying oscillators that adapt to local influences and become more predictable during increased haemodynamic flow. Significance: Recent evidence strongly suggests that the inability of microvascular networks to adapt to an imposed stressor is symptomatic of disease risk which might be assessed via BF and OXY via the combination signal analysis techniques desc
Flow motion, power spectral density, Lempel Ziv Complexity, microcirculation, skin, blood flow, tissue oxygenation, laser Doppler flowmetry, white light spectrometry
0018-9294
Kuliga, Katarzyna Z.
6679d3c0-c1da-46c4-aae2-cfaf0a417350
Gush, Rodney
cfdfe7f0-88c8-4f76-ae3a-e37a73eb04c5
Clough, Geraldine F.
9f19639e-a929-4976-ac35-259f9011c494
Chipperfield, Andrew J.
524269cd-5f30-4356-92d4-891c14c09340
Kuliga, Katarzyna Z.
6679d3c0-c1da-46c4-aae2-cfaf0a417350
Gush, Rodney
cfdfe7f0-88c8-4f76-ae3a-e37a73eb04c5
Clough, Geraldine F.
9f19639e-a929-4976-ac35-259f9011c494
Chipperfield, Andrew J.
524269cd-5f30-4356-92d4-891c14c09340

Kuliga, Katarzyna Z., Gush, Rodney, Clough, Geraldine F. and Chipperfield, Andrew J. (2017) Time-dependent behavior of microvascular blood flow and oxygenation: a predictor of functional outcomes. IEEE Transactions on Biomedical Engineering. (doi:10.1109/TBME.2017.2737328).

Record type: Article

Abstract

This study investigates the timedependent behaviour and algorithmic complexity of low frequency, periodic oscillations in blood flux and oxygenation signals from the microvasculature. Methods: Microvascular blood flux (BF) and oxygenation (OXY: oxyHb, deoxyHb, totalHb and SO2%) was recorded from 15 healthy young adult males using combined laser Doppler fluximetry and white light spectroscopy with local skin temperature clamped to 33°C and during local thermal hyperaemia (LTH) at 43°C. Power spectral density (PSD) of the BF and OXY signals was evaluated within the frequency range (0.0095-1.6Hz). Signal complexity was determined using the Lempel-Ziv (LZ) algorithm. Results: Foldincrease in BF during LTH was 15.6 (10.3,22.8) and in OxyHb 4.8 (3.5,5.9) (median, range). All BF and OXY signals exhibited multiple oscillatory components with clear differences in signal power distribution across frequency bands at 33°C and 43°C. Significant reduction in the intrinsic variability and complexity of the microvascular signals during LTH was found, with mean LZ complexity of BF and OxyHb falling by 25% and 49%, respectively (p<0.001). Conclusion: These results provide corroboration that in human skin microvascular blood flow and oxygenation are influenced by multiple, time-varying oscillators that adapt to local influences and become more predictable during increased haemodynamic flow. Significance: Recent evidence strongly suggests that the inability of microvascular networks to adapt to an imposed stressor is symptomatic of disease risk which might be assessed via BF and OXY via the combination signal analysis techniques desc

Text
TBME-00999-2017-preprint - Accepted Manuscript
Download (940kB)

More information

Accepted/In Press date: 3 August 2017
e-pub ahead of print date: 9 August 2017
Additional Information: Dataset: http//dx.doi.org/105258/SOTON/D0179 from project: https://www.southampton.ac.uk/engineering/research/projects/development_and_evaluation_new_device_blood_flow_tissue_oxygenation.page Development and evaluation of a new device for the clinical measurement of tissue blood flow and tissue oxygenation
Keywords: Flow motion, power spectral density, Lempel Ziv Complexity, microcirculation, skin, blood flow, tissue oxygenation, laser Doppler flowmetry, white light spectrometry

Identifiers

Local EPrints ID: 415385
URI: http://eprints.soton.ac.uk/id/eprint/415385
ISSN: 0018-9294
PURE UUID: 0a7c5d6c-5f75-4b89-9e78-d848e03dcd0c
ORCID for Geraldine F. Clough: ORCID iD orcid.org/0000-0002-6226-8964
ORCID for Andrew J. Chipperfield: ORCID iD orcid.org/0000-0002-3026-9890

Catalogue record

Date deposited: 08 Nov 2017 17:30
Last modified: 16 Mar 2024 03:31

Export record

Altmetrics

Contributors

Author: Katarzyna Z. Kuliga
Author: Rodney Gush

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.

×