Analysis of microvascular blood flow and oxygenation: Discrimination between two haemodynamic steady states using nonlinear measures and multiscale analysis
This study investigates the feasibility of the use of nonlinear complexity methods as a tool to identify altered microvascular function often associated with pathological conditions. We evaluate the efficacy of multiscale nonlinear complexity methods to account for the multiple time-scales of proces...
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| description | This study investigates the feasibility of the use of nonlinear complexity methods as a tool to identify altered microvascular function often associated with pathological conditions. We evaluate the efficacy of multiscale nonlinear complexity methods to account for the multiple time-scales of processes modulating microvascular network perfusion.
Microvascular blood flux (BF) and oxygenation (OXY: oxyHb, deoxyHb, totalHb and SO2%) signals were recorded simultaneously at the same site, from the skin of 15 healthy young male volunteers using combined laser Doppler fluximetry (LDF) and white light spectroscopy. Skin temperature was clamped at 33 °C prior to warming to 43 °C to generate a local thermal hyperaemia (LTH). Conventional and multiscale variants of sample entropy (SampEn) were used to quantify signal regularity and Lempel and Ziv (LZ) and effort to compress (ETC) to determine complexity.
SampEn showed a decrease in entropy during LTH in BF (p = 0.007) and oxygenated haemoglobin (oxyHb) (p = 0.029). Complexity analysis using LZ and ETC also showed a significant reduction in complexity of BF (LZ, p = 0.003; ETC, p = 0.002) and oxyHb (p |
| doi_str_mv | 10.1016/j.compbiomed.2018.09.026 |
| format | Article |
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Microvascular blood flux (BF) and oxygenation (OXY: oxyHb, deoxyHb, totalHb and SO2%) signals were recorded simultaneously at the same site, from the skin of 15 healthy young male volunteers using combined laser Doppler fluximetry (LDF) and white light spectroscopy. Skin temperature was clamped at 33 °C prior to warming to 43 °C to generate a local thermal hyperaemia (LTH). Conventional and multiscale variants of sample entropy (SampEn) were used to quantify signal regularity and Lempel and Ziv (LZ) and effort to compress (ETC) to determine complexity.
SampEn showed a decrease in entropy during LTH in BF (p = 0.007) and oxygenated haemoglobin (oxyHb) (p = 0.029). Complexity analysis using LZ and ETC also showed a significant reduction in complexity of BF (LZ, p = 0.003; ETC, p = 0.002) and oxyHb (p < 0.001, for both) with LTH. Multiscale complexity methods were better able to discriminate between haemodynamic states (p < 0.001) than conventional ones over multiple time-scales.
Our findings show that there is a good discrimination in complexity of both BF and oxyHb signals between two haemodynamic steady states which is consistent across multiple scales.
Complexity-based and multiscale-based analysis of BF and OXY signals can identify different microvascular functional states and thus has potential for clinical application in the prognosis and the diagnosis of pathophysiological conditions such as microvascular dysfunction observed in non-alcoholic fatty liver disease and type 2 diabetes.
[Display omitted]
•We studied the utility of nonlinear methods as a tool for differentiating between haemodynamic steady states in human skin.•We analysed the complexity of blood flux (BF) and tissue oxygenation (OXY) signals derived from the microvasculature.•The local skin temperature clamped at 33 °C and during vasodilation induced through local thermal hyperaemia (LTH) at 43 °C.•Both signals presented lower values of complexity during LTH as compared with those at 33 °C and were well discriminated.•Complexity and multiscale-based analysis has potential in the prognosis and the diagnosis of pathophysiological conditions.</description><identifier>ISSN: 0010-4825</identifier><identifier>EISSN: 1879-0534</identifier><identifier>DOI: 10.1016/j.compbiomed.2018.09.026</identifier><identifier>PMID: 30286411</identifier><language>eng</language><publisher>United States: Elsevier Ltd</publisher><subject>Blood flow ; Complexity ; Diabetes mellitus ; Diabetes mellitus (non-insulin dependent) ; Effort to compress complexity ; Entropy ; Fatty liver ; Feasibility studies ; Flexibility ; Hemodynamics ; Hemoglobin ; Hyperemia ; Identification methods ; Lasers ; Lempel and Ziv complexity ; Liver ; Liver diseases ; Metabolic disorders ; Microvasculature ; Multiscale analysis ; Nonlinear analysis ; Oxygenation ; Perfusion ; Physiology ; Sample entropy ; Skin ; Skin temperature ; Spectroscopy ; Standard deviation ; Steady state ; Sulfur dioxide ; Tissue oxygenation ; Wavelet transforms ; White light</subject><ispartof>Computers in biology and medicine, 2018-11, Vol.102, p.157-167</ispartof><rights>2018</rights><rights>Copyright © 2018. Published by Elsevier Ltd.</rights><rights>Copyright Elsevier Limited Nov 1, 2018</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c452t-7dc1f668af62f935c5e7be0cc48f98af5c1a57c3cffd84531f2e787288604c613</citedby><cites>FETCH-LOGICAL-c452t-7dc1f668af62f935c5e7be0cc48f98af5c1a57c3cffd84531f2e787288604c613</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/2125627396?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,778,782,3539,27907,27908,45978,64366,64368,64370,72220</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30286411$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Thanaj, Marjola</creatorcontrib><creatorcontrib>Chipperfield, Andrew J.</creatorcontrib><creatorcontrib>Clough, Geraldine F.</creatorcontrib><title>Analysis of microvascular blood flow and oxygenation: Discrimination between two haemodynamic steady states using nonlinear measures and multiscale analysis</title><title>Computers in biology and medicine</title><addtitle>Comput Biol Med</addtitle><description>This study investigates the feasibility of the use of nonlinear complexity methods as a tool to identify altered microvascular function often associated with pathological conditions. We evaluate the efficacy of multiscale nonlinear complexity methods to account for the multiple time-scales of processes modulating microvascular network perfusion.
Microvascular blood flux (BF) and oxygenation (OXY: oxyHb, deoxyHb, totalHb and SO2%) signals were recorded simultaneously at the same site, from the skin of 15 healthy young male volunteers using combined laser Doppler fluximetry (LDF) and white light spectroscopy. Skin temperature was clamped at 33 °C prior to warming to 43 °C to generate a local thermal hyperaemia (LTH). Conventional and multiscale variants of sample entropy (SampEn) were used to quantify signal regularity and Lempel and Ziv (LZ) and effort to compress (ETC) to determine complexity.
SampEn showed a decrease in entropy during LTH in BF (p = 0.007) and oxygenated haemoglobin (oxyHb) (p = 0.029). Complexity analysis using LZ and ETC also showed a significant reduction in complexity of BF (LZ, p = 0.003; ETC, p = 0.002) and oxyHb (p < 0.001, for both) with LTH. Multiscale complexity methods were better able to discriminate between haemodynamic states (p < 0.001) than conventional ones over multiple time-scales.
Our findings show that there is a good discrimination in complexity of both BF and oxyHb signals between two haemodynamic steady states which is consistent across multiple scales.
Complexity-based and multiscale-based analysis of BF and OXY signals can identify different microvascular functional states and thus has potential for clinical application in the prognosis and the diagnosis of pathophysiological conditions such as microvascular dysfunction observed in non-alcoholic fatty liver disease and type 2 diabetes.
[Display omitted]
•We studied the utility of nonlinear methods as a tool for differentiating between haemodynamic steady states in human skin.•We analysed the complexity of blood flux (BF) and tissue oxygenation (OXY) signals derived from the microvasculature.•The local skin temperature clamped at 33 °C and during vasodilation induced through local thermal hyperaemia (LTH) at 43 °C.•Both signals presented lower values of complexity during LTH as compared with those at 33 °C and were well discriminated.•Complexity and multiscale-based analysis has potential in the prognosis and the diagnosis of pathophysiological conditions.</description><subject>Blood flow</subject><subject>Complexity</subject><subject>Diabetes mellitus</subject><subject>Diabetes mellitus (non-insulin dependent)</subject><subject>Effort to compress complexity</subject><subject>Entropy</subject><subject>Fatty liver</subject><subject>Feasibility studies</subject><subject>Flexibility</subject><subject>Hemodynamics</subject><subject>Hemoglobin</subject><subject>Hyperemia</subject><subject>Identification methods</subject><subject>Lasers</subject><subject>Lempel and Ziv complexity</subject><subject>Liver</subject><subject>Liver diseases</subject><subject>Metabolic disorders</subject><subject>Microvasculature</subject><subject>Multiscale analysis</subject><subject>Nonlinear analysis</subject><subject>Oxygenation</subject><subject>Perfusion</subject><subject>Physiology</subject><subject>Sample entropy</subject><subject>Skin</subject><subject>Skin temperature</subject><subject>Spectroscopy</subject><subject>Standard deviation</subject><subject>Steady state</subject><subject>Sulfur dioxide</subject><subject>Tissue oxygenation</subject><subject>Wavelet transforms</subject><subject>White 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Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Thanaj, Marjola</au><au>Chipperfield, Andrew J.</au><au>Clough, Geraldine F.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Analysis of microvascular blood flow and oxygenation: Discrimination between two haemodynamic steady states using nonlinear measures and multiscale analysis</atitle><jtitle>Computers in biology and medicine</jtitle><addtitle>Comput Biol Med</addtitle><date>2018-11-01</date><risdate>2018</risdate><volume>102</volume><spage>157</spage><epage>167</epage><pages>157-167</pages><issn>0010-4825</issn><eissn>1879-0534</eissn><abstract>This study investigates the feasibility of the use of nonlinear complexity methods as a tool to identify altered microvascular function often associated with pathological conditions. We evaluate the efficacy of multiscale nonlinear complexity methods to account for the multiple time-scales of processes modulating microvascular network perfusion.
Microvascular blood flux (BF) and oxygenation (OXY: oxyHb, deoxyHb, totalHb and SO2%) signals were recorded simultaneously at the same site, from the skin of 15 healthy young male volunteers using combined laser Doppler fluximetry (LDF) and white light spectroscopy. Skin temperature was clamped at 33 °C prior to warming to 43 °C to generate a local thermal hyperaemia (LTH). Conventional and multiscale variants of sample entropy (SampEn) were used to quantify signal regularity and Lempel and Ziv (LZ) and effort to compress (ETC) to determine complexity.
SampEn showed a decrease in entropy during LTH in BF (p = 0.007) and oxygenated haemoglobin (oxyHb) (p = 0.029). Complexity analysis using LZ and ETC also showed a significant reduction in complexity of BF (LZ, p = 0.003; ETC, p = 0.002) and oxyHb (p < 0.001, for both) with LTH. Multiscale complexity methods were better able to discriminate between haemodynamic states (p < 0.001) than conventional ones over multiple time-scales.
Our findings show that there is a good discrimination in complexity of both BF and oxyHb signals between two haemodynamic steady states which is consistent across multiple scales.
Complexity-based and multiscale-based analysis of BF and OXY signals can identify different microvascular functional states and thus has potential for clinical application in the prognosis and the diagnosis of pathophysiological conditions such as microvascular dysfunction observed in non-alcoholic fatty liver disease and type 2 diabetes.
[Display omitted]
•We studied the utility of nonlinear methods as a tool for differentiating between haemodynamic steady states in human skin.•We analysed the complexity of blood flux (BF) and tissue oxygenation (OXY) signals derived from the microvasculature.•The local skin temperature clamped at 33 °C and during vasodilation induced through local thermal hyperaemia (LTH) at 43 °C.•Both signals presented lower values of complexity during LTH as compared with those at 33 °C and were well discriminated.•Complexity and multiscale-based analysis has potential in the prognosis and the diagnosis of pathophysiological conditions.</abstract><cop>United States</cop><pub>Elsevier Ltd</pub><pmid>30286411</pmid><doi>10.1016/j.compbiomed.2018.09.026</doi><tpages>11</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | Blood flow Complexity Diabetes mellitus Diabetes mellitus (non-insulin dependent) Effort to compress complexity Entropy Fatty liver Feasibility studies Flexibility Hemodynamics Hemoglobin Hyperemia Identification methods Lasers Lempel and Ziv complexity Liver Liver diseases Metabolic disorders Microvasculature Multiscale analysis Nonlinear analysis Oxygenation Perfusion Physiology Sample entropy Skin Skin temperature Spectroscopy Standard deviation Steady state Sulfur dioxide Tissue oxygenation Wavelet transforms White light |
| title | Analysis of microvascular blood flow and oxygenation: Discrimination between two haemodynamic steady states using nonlinear measures and multiscale analysis |
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