Wireless monitoring of liver hemodynamics in vivo.
Identifieur interne : 002415 ( PubMed/Corpus ); précédent : 002414; suivant : 002416Wireless monitoring of liver hemodynamics in vivo.
Auteurs : Tony J. Akl ; Mark A. Wilson ; M Nance Ericson ; Ethan Farquhar ; Gerard L. CotéSource :
- PloS one [ 1932-6203 ] ; 2014.
English descriptors
- KwdEn :
- MESH :
- instrumentation : Monitoring, Physiologic.
- metabolism : Liver.
- methods : Monitoring, Physiologic.
- physiology : Liver.
- Animals, Female, Hemodynamics, Liver Transplantation, Male, Oxygen Consumption, Photoplethysmography, Spectroscopy, Near-Infrared, Swine, Wireless Technology.
Abstract
Liver transplants have their highest technical failure rate in the first two weeks following surgery. Currently, there are limited devices for continuous, real-time monitoring of the graft. In this work, a three wavelengths system is presented that combines near-infrared spectroscopy and photoplethysmography with a processing method that can uniquely measure and separate the venous and arterial oxygen contributions. This strategy allows for the quantification of tissue oxygen consumption used to study hepatic metabolic activity and to relate it to tissue stress. The sensor is battery operated and communicates wirelessly with a data acquisition computer which provides the possibility of implantation provided sufficient miniaturization. In two in vivo porcine studies, the sensor tracked perfusion changes in hepatic tissue during vascular occlusions with a root mean square error (RMSE) of 0.135 mL/min/g of tissue. We show the possibility of using the pulsatile wave to measure the arterial oxygen saturation similar to pulse oximetry. The signal is also used to extract the venous oxygen saturation from the direct current (DC) levels. Arterial and venous oxygen saturation changes were measured with an RMSE of 2.19% and 1.39% respectively when no vascular occlusions were induced. This error increased to 2.82% and 3.83% when vascular occlusions were induced during hypoxia. These errors are similar to the resolution of a commercial oximetry catheter used as a reference. This work is the first realization of a wireless optical sensor for continuous monitoring of hepatic hemodynamics.
DOI: 10.1371/journal.pone.0102396
PubMed: 25019160
Links to Exploration step
pubmed:25019160Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Wireless monitoring of liver hemodynamics in vivo.</title><author><name sortKey="Akl, Tony J" sort="Akl, Tony J" uniqKey="Akl T" first="Tony J" last="Akl">Tony J. Akl</name><affiliation><nlm:affiliation>Department of Biomedical Engineering, Texas A&M University, College Station, Texas, United States of America.</nlm:affiliation></affiliation></author><author><name sortKey="Wilson, Mark A" sort="Wilson, Mark A" uniqKey="Wilson M" first="Mark A" last="Wilson">Mark A. Wilson</name><affiliation><nlm:affiliation>Department of Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America; Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, Pennsylvania, United States of America.</nlm:affiliation></affiliation></author><author><name sortKey="Ericson, M Nance" sort="Ericson, M Nance" uniqKey="Ericson M" first="M Nance" last="Ericson">M Nance Ericson</name><affiliation><nlm:affiliation>Oak Ridge National Laboratory, Oak Ridge, Tennessee, United States of America.</nlm:affiliation></affiliation></author><author><name sortKey="Farquhar, Ethan" sort="Farquhar, Ethan" uniqKey="Farquhar E" first="Ethan" last="Farquhar">Ethan Farquhar</name><affiliation><nlm:affiliation>Oak Ridge National Laboratory, Oak Ridge, Tennessee, United States of America.</nlm:affiliation></affiliation></author><author><name sortKey="Cote, Gerard L" sort="Cote, Gerard L" uniqKey="Cote G" first="Gerard L" last="Coté">Gerard L. Coté</name><affiliation><nlm:affiliation>Department of Biomedical Engineering, Texas A&M University, College Station, Texas, United States of America.</nlm:affiliation></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2014">2014</date><idno type="RBID">pubmed:25019160</idno><idno type="pmid">25019160</idno><idno type="doi">10.1371/journal.pone.0102396</idno><idno type="wicri:Area/PubMed/Corpus">002415</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Corpus" wicri:corpus="PubMed">002415</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Wireless monitoring of liver hemodynamics in vivo.</title><author><name sortKey="Akl, Tony J" sort="Akl, Tony J" uniqKey="Akl T" first="Tony J" last="Akl">Tony J. Akl</name><affiliation><nlm:affiliation>Department of Biomedical Engineering, Texas A&M University, College Station, Texas, United States of America.</nlm:affiliation></affiliation></author><author><name sortKey="Wilson, Mark A" sort="Wilson, Mark A" uniqKey="Wilson M" first="Mark A" last="Wilson">Mark A. Wilson</name><affiliation><nlm:affiliation>Department of Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America; Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, Pennsylvania, United States of America.</nlm:affiliation></affiliation></author><author><name sortKey="Ericson, M Nance" sort="Ericson, M Nance" uniqKey="Ericson M" first="M Nance" last="Ericson">M Nance Ericson</name><affiliation><nlm:affiliation>Oak Ridge National Laboratory, Oak Ridge, Tennessee, United States of America.</nlm:affiliation></affiliation></author><author><name sortKey="Farquhar, Ethan" sort="Farquhar, Ethan" uniqKey="Farquhar E" first="Ethan" last="Farquhar">Ethan Farquhar</name><affiliation><nlm:affiliation>Oak Ridge National Laboratory, Oak Ridge, Tennessee, United States of America.</nlm:affiliation></affiliation></author><author><name sortKey="Cote, Gerard L" sort="Cote, Gerard L" uniqKey="Cote G" first="Gerard L" last="Coté">Gerard L. Coté</name><affiliation><nlm:affiliation>Department of Biomedical Engineering, Texas A&M University, College Station, Texas, United States of America.</nlm:affiliation></affiliation></author></analytic><series><title level="j">PloS one</title><idno type="eISSN">1932-6203</idno><imprint><date when="2014" type="published">2014</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Animals</term><term>Female</term><term>Hemodynamics</term><term>Liver (metabolism)</term><term>Liver (physiology)</term><term>Liver Transplantation</term><term>Male</term><term>Monitoring, Physiologic (instrumentation)</term><term>Monitoring, Physiologic (methods)</term><term>Oxygen Consumption</term><term>Photoplethysmography</term><term>Spectroscopy, Near-Infrared</term><term>Swine</term><term>Wireless Technology</term></keywords><keywords scheme="MESH" qualifier="instrumentation" xml:lang="en"><term>Monitoring, Physiologic</term></keywords><keywords scheme="MESH" qualifier="metabolism" xml:lang="en"><term>Liver</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Monitoring, Physiologic</term></keywords><keywords scheme="MESH" qualifier="physiology" xml:lang="en"><term>Liver</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Animals</term><term>Female</term><term>Hemodynamics</term><term>Liver Transplantation</term><term>Male</term><term>Oxygen Consumption</term><term>Photoplethysmography</term><term>Spectroscopy, Near-Infrared</term><term>Swine</term><term>Wireless Technology</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Liver transplants have their highest technical failure rate in the first two weeks following surgery. Currently, there are limited devices for continuous, real-time monitoring of the graft. In this work, a three wavelengths system is presented that combines near-infrared spectroscopy and photoplethysmography with a processing method that can uniquely measure and separate the venous and arterial oxygen contributions. This strategy allows for the quantification of tissue oxygen consumption used to study hepatic metabolic activity and to relate it to tissue stress. The sensor is battery operated and communicates wirelessly with a data acquisition computer which provides the possibility of implantation provided sufficient miniaturization. In two in vivo porcine studies, the sensor tracked perfusion changes in hepatic tissue during vascular occlusions with a root mean square error (RMSE) of 0.135 mL/min/g of tissue. We show the possibility of using the pulsatile wave to measure the arterial oxygen saturation similar to pulse oximetry. The signal is also used to extract the venous oxygen saturation from the direct current (DC) levels. Arterial and venous oxygen saturation changes were measured with an RMSE of 2.19% and 1.39% respectively when no vascular occlusions were induced. This error increased to 2.82% and 3.83% when vascular occlusions were induced during hypoxia. These errors are similar to the resolution of a commercial oximetry catheter used as a reference. This work is the first realization of a wireless optical sensor for continuous monitoring of hepatic hemodynamics.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">25019160</PMID><DateCreated><Year>2014</Year><Month>07</Month><Day>15</Day></DateCreated><DateCompleted><Year>2016</Year><Month>01</Month><Day>01</Day></DateCompleted><DateRevised><Year>2017</Year><Month>02</Month><Day>20</Day></DateRevised><Article PubModel="Electronic-eCollection"><Journal><ISSN IssnType="Electronic">1932-6203</ISSN><JournalIssue CitedMedium="Internet"><Volume>9</Volume><Issue>7</Issue><PubDate><Year>2014</Year></PubDate></JournalIssue><Title>PloS one</Title><ISOAbbreviation>PLoS ONE</ISOAbbreviation></Journal><ArticleTitle>Wireless monitoring of liver hemodynamics in vivo.</ArticleTitle><Pagination><MedlinePgn>e102396</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1371/journal.pone.0102396</ELocationID><Abstract><AbstractText>Liver transplants have their highest technical failure rate in the first two weeks following surgery. Currently, there are limited devices for continuous, real-time monitoring of the graft. In this work, a three wavelengths system is presented that combines near-infrared spectroscopy and photoplethysmography with a processing method that can uniquely measure and separate the venous and arterial oxygen contributions. This strategy allows for the quantification of tissue oxygen consumption used to study hepatic metabolic activity and to relate it to tissue stress. The sensor is battery operated and communicates wirelessly with a data acquisition computer which provides the possibility of implantation provided sufficient miniaturization. In two in vivo porcine studies, the sensor tracked perfusion changes in hepatic tissue during vascular occlusions with a root mean square error (RMSE) of 0.135 mL/min/g of tissue. We show the possibility of using the pulsatile wave to measure the arterial oxygen saturation similar to pulse oximetry. The signal is also used to extract the venous oxygen saturation from the direct current (DC) levels. Arterial and venous oxygen saturation changes were measured with an RMSE of 2.19% and 1.39% respectively when no vascular occlusions were induced. This error increased to 2.82% and 3.83% when vascular occlusions were induced during hypoxia. These errors are similar to the resolution of a commercial oximetry catheter used as a reference. This work is the first realization of a wireless optical sensor for continuous monitoring of hepatic hemodynamics.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Akl</LastName><ForeName>Tony J</ForeName><Initials>TJ</Initials><AffiliationInfo><Affiliation>Department of Biomedical Engineering, Texas A&M University, College Station, Texas, United States of America.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Wilson</LastName><ForeName>Mark A</ForeName><Initials>MA</Initials><AffiliationInfo><Affiliation>Department of Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America; Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, Pennsylvania, United States of America.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Ericson</LastName><ForeName>M Nance</ForeName><Initials>MN</Initials><AffiliationInfo><Affiliation>Oak Ridge National Laboratory, Oak Ridge, Tennessee, United States of America.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Farquhar</LastName><ForeName>Ethan</ForeName><Initials>E</Initials><AffiliationInfo><Affiliation>Oak Ridge National Laboratory, Oak Ridge, Tennessee, United States of America.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Coté</LastName><ForeName>Gerard L</ForeName><Initials>GL</Initials><AffiliationInfo><Affiliation>Department of Biomedical Engineering, Texas A&M University, College Station, Texas, United States of America.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><GrantList CompleteYN="Y"><Grant><GrantID>5R01-GM077150</GrantID><Acronym>GM</Acronym><Agency>NIGMS NIH HHS</Agency><Country>United States</Country></Grant></GrantList><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D052061">Research Support, N.I.H., Extramural</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2014</Year><Month>07</Month><Day>14</Day></ArticleDate></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>PLoS One</MedlineTA><NlmUniqueID>101285081</NlmUniqueID><ISSNLinking>1932-6203</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><CommentsCorrectionsList><CommentsCorrections RefType="Cites"><RefSource>Neuroimage. 2010 Nov 1;53(2):553-64</RefSource><PMID Version="1">20600975</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>J Biomed Opt. 2013 Aug;18(8):87005</RefSource><PMID Version="1">23942635</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>J Appl Physiol (1985). 1999 Jul;87(1):348-55</RefSource><PMID Version="1">10409594</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Neuroimage. 2001 Jan;13(1):76-90</RefSource><PMID Version="1">11133311</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Transplantation. 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MajorTopicYN="Y">physiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D016031" MajorTopicYN="Y">Liver Transplantation</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008991" MajorTopicYN="N">Monitoring, Physiologic</DescriptorName><QualifierName UI="Q000295" MajorTopicYN="N">instrumentation</QualifierName><QualifierName UI="Q000379" MajorTopicYN="Y">methods</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D010101" MajorTopicYN="N">Oxygen Consumption</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D017156" MajorTopicYN="N">Photoplethysmography</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D019265" MajorTopicYN="N">Spectroscopy, Near-Infrared</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D013552" MajorTopicYN="N">Swine</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D059015" 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