Wireless Monitoring of Liver Hemodynamics In Vivo
Identifieur interne : 002987 ( Ncbi/Merge ); précédent : 002986; suivant : 002988Wireless Monitoring of Liver Hemodynamics In Vivo
Auteurs : Tony J. Akl [États-Unis] ; Mark A. Wilson [États-Unis] ; M. Nance Ericson [États-Unis] ; Ethan Farquhar [États-Unis] ; Gerard L. Coté [États-Unis]Source :
- PLoS ONE [ 1932-6203 ] ; 2014.
Descripteurs français
- KwdFr :
- MESH :
- métabolisme : Foie.
- physiologie : Foie.
- instrumentation : Animaux, Consommation d'oxygène, Femelle, Hémodynamique, Monitorage physiologique, Mâle, Photopléthysmographie, Spectroscopie proche infrarouge, Suidae, Technologie sans fil, Transplantation hépatique.
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
Url:
DOI: 10.1371/journal.pone.0102396
PubMed: 25019160
PubMed Central: 4097065
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PMC:4097065Le document en format XML
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<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>
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<term>Femelle</term>
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<term>Foie (physiologie)</term>
<term>Hémodynamique</term>
<term>Monitorage physiologique ()</term>
<term>Monitorage physiologique (instrumentation)</term>
<term>Mâle</term>
<term>Photopléthysmographie</term>
<term>Spectroscopie proche infrarouge</term>
<term>Suidae</term>
<term>Technologie sans fil</term>
<term>Transplantation hépatique</term>
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<keywords scheme="MESH" xml:lang="en"><term>Animals</term>
<term>Female</term>
<term>Hemodynamics</term>
<term>Liver Transplantation</term>
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<term>Oxygen Consumption</term>
<term>Photoplethysmography</term>
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<term>Photopléthysmographie</term>
<term>Spectroscopie proche infrarouge</term>
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<front><div type="abstract" xml:lang="en"><p>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 <italic>in vivo</italic>
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.</p>
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<double pmid="25019160"><pmc><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Wireless Monitoring of Liver Hemodynamics <italic>In Vivo</italic>
</title>
<author><name sortKey="Akl, Tony J" sort="Akl, Tony J" uniqKey="Akl T" first="Tony J." last="Akl">Tony J. Akl</name>
<affiliation wicri:level="2"><nlm:aff id="aff1"><addr-line>Department of Biomedical Engineering, Texas A&M University, College Station, Texas, United States of America</addr-line>
</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Department of Biomedical Engineering, Texas A&M University, College Station, Texas</wicri:regionArea>
<placeName><region type="state">Texas</region>
</placeName>
</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 wicri:level="4"><nlm:aff id="aff2"><addr-line>Department of Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America</addr-line>
</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Department of Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania</wicri:regionArea>
<placeName><region type="state">Pennsylvanie</region>
<settlement type="city">Pittsburgh</settlement>
</placeName>
<orgName type="university">Université de Pittsburgh</orgName>
</affiliation>
<affiliation wicri:level="2"><nlm:aff id="aff3"><addr-line>Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, Pennsylvania, United States of America</addr-line>
</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, Pennsylvania</wicri:regionArea>
<placeName><region type="state">Pennsylvanie</region>
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</author>
<author><name sortKey="Ericson, M Nance" sort="Ericson, M Nance" uniqKey="Ericson M" first="M. Nance" last="Ericson">M. Nance Ericson</name>
<affiliation wicri:level="2"><nlm:aff id="aff4"><addr-line>Oak Ridge National Laboratory, Oak Ridge, Tennessee, United States of America</addr-line>
</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Oak Ridge National Laboratory, Oak Ridge, Tennessee</wicri:regionArea>
<placeName><region type="state">Tennessee</region>
</placeName>
</affiliation>
</author>
<author><name sortKey="Farquhar, Ethan" sort="Farquhar, Ethan" uniqKey="Farquhar E" first="Ethan" last="Farquhar">Ethan Farquhar</name>
<affiliation wicri:level="2"><nlm:aff id="aff4"><addr-line>Oak Ridge National Laboratory, Oak Ridge, Tennessee, United States of America</addr-line>
</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Oak Ridge National Laboratory, Oak Ridge, Tennessee</wicri:regionArea>
<placeName><region type="state">Tennessee</region>
</placeName>
</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 wicri:level="2"><nlm:aff id="aff1"><addr-line>Department of Biomedical Engineering, Texas A&M University, College Station, Texas, United States of America</addr-line>
</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Department of Biomedical Engineering, Texas A&M University, College Station, Texas</wicri:regionArea>
<placeName><region type="state">Texas</region>
</placeName>
</affiliation>
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<idno type="pmid">25019160</idno>
<idno type="pmc">4097065</idno>
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<idno type="RBID">PMC:4097065</idno>
<idno type="doi">10.1371/journal.pone.0102396</idno>
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<sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Wireless Monitoring of Liver Hemodynamics <italic>In Vivo</italic>
</title>
<author><name sortKey="Akl, Tony J" sort="Akl, Tony J" uniqKey="Akl T" first="Tony J." last="Akl">Tony J. Akl</name>
<affiliation wicri:level="2"><nlm:aff id="aff1"><addr-line>Department of Biomedical Engineering, Texas A&M University, College Station, Texas, United States of America</addr-line>
</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Department of Biomedical Engineering, Texas A&M University, College Station, Texas</wicri:regionArea>
<placeName><region type="state">Texas</region>
</placeName>
</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 wicri:level="4"><nlm:aff id="aff2"><addr-line>Department of Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America</addr-line>
</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Department of Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania</wicri:regionArea>
<placeName><region type="state">Pennsylvanie</region>
<settlement type="city">Pittsburgh</settlement>
</placeName>
<orgName type="university">Université de Pittsburgh</orgName>
</affiliation>
<affiliation wicri:level="2"><nlm:aff id="aff3"><addr-line>Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, Pennsylvania, United States of America</addr-line>
</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, Pennsylvania</wicri:regionArea>
<placeName><region type="state">Pennsylvanie</region>
</placeName>
</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 wicri:level="2"><nlm:aff id="aff4"><addr-line>Oak Ridge National Laboratory, Oak Ridge, Tennessee, United States of America</addr-line>
</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Oak Ridge National Laboratory, Oak Ridge, Tennessee</wicri:regionArea>
<placeName><region type="state">Tennessee</region>
</placeName>
</affiliation>
</author>
<author><name sortKey="Farquhar, Ethan" sort="Farquhar, Ethan" uniqKey="Farquhar E" first="Ethan" last="Farquhar">Ethan Farquhar</name>
<affiliation wicri:level="2"><nlm:aff id="aff4"><addr-line>Oak Ridge National Laboratory, Oak Ridge, Tennessee, United States of America</addr-line>
</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Oak Ridge National Laboratory, Oak Ridge, Tennessee</wicri:regionArea>
<placeName><region type="state">Tennessee</region>
</placeName>
</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 wicri:level="2"><nlm:aff id="aff1"><addr-line>Department of Biomedical Engineering, Texas A&M University, College Station, Texas, United States of America</addr-line>
</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Department of Biomedical Engineering, Texas A&M University, College Station, Texas</wicri:regionArea>
<placeName><region type="state">Texas</region>
</placeName>
</affiliation>
</author>
</analytic>
<series><title level="j">PLoS ONE</title>
<idno type="eISSN">1932-6203</idno>
<imprint><date when="2014">2014</date>
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<front><div type="abstract" xml:lang="en"><p>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 <italic>in vivo</italic>
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.</p>
</div>
</front>
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<pubmed><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 wicri:level="2"><nlm:affiliation>Department of Biomedical Engineering, Texas A&M University, College Station, Texas, United States of America.</nlm:affiliation>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Department of Biomedical Engineering, Texas A&M University, College Station, Texas</wicri:regionArea>
<placeName><region type="state">Texas</region>
</placeName>
</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 wicri:level="4"><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>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Department of Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America; Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, Pennsylvania</wicri:regionArea>
<placeName><region type="state">Pennsylvanie</region>
<settlement type="city">Pittsburgh</settlement>
</placeName>
<orgName type="university">Université de Pittsburgh</orgName>
</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 wicri:level="2"><nlm:affiliation>Oak Ridge National Laboratory, Oak Ridge, Tennessee, United States of America.</nlm:affiliation>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Oak Ridge National Laboratory, Oak Ridge, Tennessee</wicri:regionArea>
<placeName><region type="state">Tennessee</region>
</placeName>
</affiliation>
</author>
<author><name sortKey="Farquhar, Ethan" sort="Farquhar, Ethan" uniqKey="Farquhar E" first="Ethan" last="Farquhar">Ethan Farquhar</name>
<affiliation wicri:level="2"><nlm:affiliation>Oak Ridge National Laboratory, Oak Ridge, Tennessee, United States of America.</nlm:affiliation>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Oak Ridge National Laboratory, Oak Ridge, Tennessee</wicri:regionArea>
<placeName><region type="state">Tennessee</region>
</placeName>
</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 wicri:level="2"><nlm:affiliation>Department of Biomedical Engineering, Texas A&M University, College Station, Texas, United States of America.</nlm:affiliation>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Department of Biomedical Engineering, Texas A&M University, College Station, Texas</wicri:regionArea>
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<date when="2014">2014</date>
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<author><name sortKey="Akl, Tony J" sort="Akl, Tony J" uniqKey="Akl T" first="Tony J" last="Akl">Tony J. Akl</name>
<affiliation wicri:level="2"><nlm:affiliation>Department of Biomedical Engineering, Texas A&M University, College Station, Texas, United States of America.</nlm:affiliation>
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<author><name sortKey="Wilson, Mark A" sort="Wilson, Mark A" uniqKey="Wilson M" first="Mark A" last="Wilson">Mark A. Wilson</name>
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<placeName><region type="state">Tennessee</region>
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</author>
<author><name sortKey="Farquhar, Ethan" sort="Farquhar, Ethan" uniqKey="Farquhar E" first="Ethan" last="Farquhar">Ethan Farquhar</name>
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<author><name sortKey="Cote, Gerard L" sort="Cote, Gerard L" uniqKey="Cote G" first="Gerard L" last="Coté">Gerard L. Coté</name>
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<series><title level="j">PloS one</title>
<idno type="eISSN">1932-6203</idno>
<imprint><date when="2014" type="published">2014</date>
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<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="KwdFr" xml:lang="fr"><term>Animaux</term>
<term>Consommation d'oxygène</term>
<term>Femelle</term>
<term>Foie (métabolisme)</term>
<term>Foie (physiologie)</term>
<term>Hémodynamique</term>
<term>Monitorage physiologique ()</term>
<term>Monitorage physiologique (instrumentation)</term>
<term>Mâle</term>
<term>Photopléthysmographie</term>
<term>Spectroscopie proche infrarouge</term>
<term>Suidae</term>
<term>Technologie sans fil</term>
<term>Transplantation hépatique</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="métabolisme" xml:lang="fr"><term>Foie</term>
</keywords>
<keywords scheme="MESH" qualifier="physiologie" xml:lang="fr"><term>Foie</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>
<keywords scheme="MESH" qualifier="instrumentation" xml:lang="fr"><term>Animaux</term>
<term>Consommation d'oxygène</term>
<term>Femelle</term>
<term>Hémodynamique</term>
<term>Monitorage physiologique</term>
<term>Mâle</term>
<term>Photopléthysmographie</term>
<term>Spectroscopie proche infrarouge</term>
<term>Suidae</term>
<term>Technologie sans fil</term>
<term>Transplantation hépatique</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>
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