Implementation of non-invasive brain physiological monitoring concepts.
Identifieur interne : 000612 ( PubMed/Corpus ); précédent : 000611; suivant : 000613Implementation of non-invasive brain physiological monitoring concepts.
Auteurs : Arminas Ragauskas ; Gediminas Daubaris ; Vytautas Ragaisis ; Vytautas PetkusSource :
- Medical engineering & physics [ 1350-4533 ] ; 2003.
English descriptors
- KwdEn :
- Adult, Blood Pressure, Blood Pressure Determination (instrumentation), Blood Pressure Determination (methods), Brain (blood supply), Brain (physiopathology), Brain Injuries (physiopathology), Brain Injuries (ultrasonography), Cerebrovascular Circulation, Computer Simulation, Echoencephalography (instrumentation), Echoencephalography (methods), Equipment Failure Analysis, Humans, Intracranial Pressure, Middle Aged, Models, Cardiovascular, Models, Neurological, Pulsatile Flow.
- MESH :
- blood supply : Brain.
- instrumentation : Blood Pressure Determination, Echoencephalography.
- methods : Blood Pressure Determination, Echoencephalography.
- physiopathology : Brain, Brain Injuries.
- ultrasonography : Brain Injuries.
- Adult, Blood Pressure, Cerebrovascular Circulation, Computer Simulation, Equipment Failure Analysis, Humans, Intracranial Pressure, Middle Aged, Models, Cardiovascular, Models, Neurological, Pulsatile Flow.
Abstract
The paper presents innovative methods and technology for non-invasive intracranial hemodynamics monitoring based on the measurement of brain parenchyma acoustic properties. The clinical investigation of new technology shows the similarity between the invasively recorded intracranial pressure (ICP) and non-invasively recorded intracranial blood volume (IBV) pulse waves, slow waves and slow trends under intensive care unit (ICU) conditions. Also, the applicability of the non-invasive IBV slow wave monitoring technique for cerebrovascular autoregulation non-invasive long-term monitoring is demonstrated by theoretical and experimental studies.
PubMed: 12900182
Links to Exploration step
pubmed:12900182Le document en format XML
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<author><name sortKey="Ragauskas, Arminas" sort="Ragauskas, Arminas" uniqKey="Ragauskas A" first="Arminas" last="Ragauskas">Arminas Ragauskas</name>
<affiliation><nlm:affiliation>Kaunas University of Technology, Telematics Scientific Laboratory, Studentu 50 448, Kaunas 3031, Lithuania. telematics@tef.ktu.lt</nlm:affiliation>
</affiliation>
</author>
<author><name sortKey="Daubaris, Gediminas" sort="Daubaris, Gediminas" uniqKey="Daubaris G" first="Gediminas" last="Daubaris">Gediminas Daubaris</name>
</author>
<author><name sortKey="Ragaisis, Vytautas" sort="Ragaisis, Vytautas" uniqKey="Ragaisis V" first="Vytautas" last="Ragaisis">Vytautas Ragaisis</name>
</author>
<author><name sortKey="Petkus, Vytautas" sort="Petkus, Vytautas" uniqKey="Petkus V" first="Vytautas" last="Petkus">Vytautas Petkus</name>
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<author><name sortKey="Ragauskas, Arminas" sort="Ragauskas, Arminas" uniqKey="Ragauskas A" first="Arminas" last="Ragauskas">Arminas Ragauskas</name>
<affiliation><nlm:affiliation>Kaunas University of Technology, Telematics Scientific Laboratory, Studentu 50 448, Kaunas 3031, Lithuania. telematics@tef.ktu.lt</nlm:affiliation>
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<author><name sortKey="Daubaris, Gediminas" sort="Daubaris, Gediminas" uniqKey="Daubaris G" first="Gediminas" last="Daubaris">Gediminas Daubaris</name>
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<author><name sortKey="Ragaisis, Vytautas" sort="Ragaisis, Vytautas" uniqKey="Ragaisis V" first="Vytautas" last="Ragaisis">Vytautas Ragaisis</name>
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<author><name sortKey="Petkus, Vytautas" sort="Petkus, Vytautas" uniqKey="Petkus V" first="Vytautas" last="Petkus">Vytautas Petkus</name>
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<series><title level="j">Medical engineering & physics</title>
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<imprint><date when="2003" type="published">2003</date>
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<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adult</term>
<term>Blood Pressure</term>
<term>Blood Pressure Determination (instrumentation)</term>
<term>Blood Pressure Determination (methods)</term>
<term>Brain (blood supply)</term>
<term>Brain (physiopathology)</term>
<term>Brain Injuries (physiopathology)</term>
<term>Brain Injuries (ultrasonography)</term>
<term>Cerebrovascular Circulation</term>
<term>Computer Simulation</term>
<term>Echoencephalography (instrumentation)</term>
<term>Echoencephalography (methods)</term>
<term>Equipment Failure Analysis</term>
<term>Humans</term>
<term>Intracranial Pressure</term>
<term>Middle Aged</term>
<term>Models, Cardiovascular</term>
<term>Models, Neurological</term>
<term>Pulsatile Flow</term>
</keywords>
<keywords scheme="MESH" qualifier="blood supply" xml:lang="en"><term>Brain</term>
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<keywords scheme="MESH" qualifier="instrumentation" xml:lang="en"><term>Blood Pressure Determination</term>
<term>Echoencephalography</term>
</keywords>
<keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Blood Pressure Determination</term>
<term>Echoencephalography</term>
</keywords>
<keywords scheme="MESH" qualifier="physiopathology" xml:lang="en"><term>Brain</term>
<term>Brain Injuries</term>
</keywords>
<keywords scheme="MESH" qualifier="ultrasonography" xml:lang="en"><term>Brain Injuries</term>
</keywords>
<keywords scheme="MESH" xml:lang="en"><term>Adult</term>
<term>Blood Pressure</term>
<term>Cerebrovascular Circulation</term>
<term>Computer Simulation</term>
<term>Equipment Failure Analysis</term>
<term>Humans</term>
<term>Intracranial Pressure</term>
<term>Middle Aged</term>
<term>Models, Cardiovascular</term>
<term>Models, Neurological</term>
<term>Pulsatile Flow</term>
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<front><div type="abstract" xml:lang="en">The paper presents innovative methods and technology for non-invasive intracranial hemodynamics monitoring based on the measurement of brain parenchyma acoustic properties. The clinical investigation of new technology shows the similarity between the invasively recorded intracranial pressure (ICP) and non-invasively recorded intracranial blood volume (IBV) pulse waves, slow waves and slow trends under intensive care unit (ICU) conditions. Also, the applicability of the non-invasive IBV slow wave monitoring technique for cerebrovascular autoregulation non-invasive long-term monitoring is demonstrated by theoretical and experimental studies.</div>
</front>
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<DateCreated><Year>2003</Year>
<Month>08</Month>
<Day>05</Day>
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<DateCompleted><Year>2004</Year>
<Month>02</Month>
<Day>20</Day>
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<DateRevised><Year>2006</Year>
<Month>11</Month>
<Day>15</Day>
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<Article PubModel="Print"><Journal><ISSN IssnType="Print">1350-4533</ISSN>
<JournalIssue CitedMedium="Print"><Volume>25</Volume>
<Issue>8</Issue>
<PubDate><Year>2003</Year>
<Month>Oct</Month>
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<Title>Medical engineering & physics</Title>
<ISOAbbreviation>Med Eng Phys</ISOAbbreviation>
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<ArticleTitle>Implementation of non-invasive brain physiological monitoring concepts.</ArticleTitle>
<Pagination><MedlinePgn>667-78</MedlinePgn>
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<Abstract><AbstractText>The paper presents innovative methods and technology for non-invasive intracranial hemodynamics monitoring based on the measurement of brain parenchyma acoustic properties. The clinical investigation of new technology shows the similarity between the invasively recorded intracranial pressure (ICP) and non-invasively recorded intracranial blood volume (IBV) pulse waves, slow waves and slow trends under intensive care unit (ICU) conditions. Also, the applicability of the non-invasive IBV slow wave monitoring technique for cerebrovascular autoregulation non-invasive long-term monitoring is demonstrated by theoretical and experimental studies.</AbstractText>
</Abstract>
<AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Ragauskas</LastName>
<ForeName>Arminas</ForeName>
<Initials>A</Initials>
<AffiliationInfo><Affiliation>Kaunas University of Technology, Telematics Scientific Laboratory, Studentu 50 448, Kaunas 3031, Lithuania. telematics@tef.ktu.lt</Affiliation>
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<Author ValidYN="Y"><LastName>Daubaris</LastName>
<ForeName>Gediminas</ForeName>
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<Author ValidYN="Y"><LastName>Ragaisis</LastName>
<ForeName>Vytautas</ForeName>
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<Author ValidYN="Y"><LastName>Petkus</LastName>
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<MeshHeadingList><MeshHeading><DescriptorName MajorTopicYN="N" UI="D000328">Adult</DescriptorName>
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<QualifierName MajorTopicYN="N" UI="Q000379">methods</QualifierName>
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<MeshHeading><DescriptorName MajorTopicYN="N" UI="D001921">Brain</DescriptorName>
<QualifierName MajorTopicYN="Y" UI="Q000098">blood supply</QualifierName>
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<MeshHeading><DescriptorName MajorTopicYN="N" UI="D001930">Brain Injuries</DescriptorName>
<QualifierName MajorTopicYN="N" UI="Q000503">physiopathology</QualifierName>
<QualifierName MajorTopicYN="N" UI="Q000736">ultrasonography</QualifierName>
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<MeshHeading><DescriptorName MajorTopicYN="N" UI="D002560">Cerebrovascular Circulation</DescriptorName>
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<MeshHeading><DescriptorName MajorTopicYN="N" UI="D003198">Computer Simulation</DescriptorName>
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<MeshHeading><DescriptorName MajorTopicYN="N" UI="D004453">Echoencephalography</DescriptorName>
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<QualifierName MajorTopicYN="N" UI="Q000379">methods</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName MajorTopicYN="N" UI="D019544">Equipment Failure Analysis</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName MajorTopicYN="N" UI="D006801">Humans</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName MajorTopicYN="Y" UI="D007427">Intracranial Pressure</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName MajorTopicYN="N" UI="D008875">Middle Aged</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName MajorTopicYN="Y" UI="D008955">Models, Cardiovascular</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName MajorTopicYN="N" UI="D008959">Models, Neurological</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName MajorTopicYN="N" UI="D011673">Pulsatile Flow</DescriptorName>
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