Noninvasive electrical impedance sensor for in vivo tissue discrimination at radio frequencies.
Identifieur interne : 000680 ( PubMed/Corpus ); précédent : 000679; suivant : 000681Noninvasive electrical impedance sensor for in vivo tissue discrimination at radio frequencies.
Auteurs : Yu Dai ; Jun Du ; Qing Yang ; Jianxun ZhangSource :
- Bioelectromagnetics [ 1521-186X ] ; 2014.
English descriptors
- KwdEn :
- Animals, Electric Impedance, Electrodes, Electronics, Medical, Equipment Design, Feasibility Studies, Kidney (physiology), Mechanical Phenomena, Minimally Invasive Surgical Procedures (instrumentation), Minimally Invasive Surgical Procedures (methods), Models, Biological, Rabbits, Radio Waves, Signal Processing, Computer-Assisted, Stomach (physiology), Swine.
- MESH :
- instrumentation : Minimally Invasive Surgical Procedures.
- methods : Minimally Invasive Surgical Procedures.
- physiology : Kidney, Stomach.
- Animals, Electric Impedance, Electrodes, Electronics, Medical, Equipment Design, Feasibility Studies, Mechanical Phenomena, Models, Biological, Rabbits, Radio Waves, Signal Processing, Computer-Assisted, Swine.
Abstract
Compared to traditional open surgery, minimally invasive surgery (MIS) allows for a more rapid and less painful recovery. However, the lack of significant haptic feedback in MIS can make tissue discrimination difficult. This paper tests a noninvasive electrical impedance sensor for in vivo discrimination of tissue types in MIS. The sensor consists of two stainless steel spherical electrodes used to measure the impedance spectra over the frequency range of 200 kHz to 5 MHz. The sensor helps ensure free movement on an organ surface and prevents soft tissues from being injured during impedance measurement. Since the recorded electrical impedance is correlated with the force pressed on the electrode and the mechanical property of the tissue, the electrode-tissue contact impedance is calculated theoretically. We show that the standard deviation of the impedance ratio at each frequency point is sufficient to distinguish different tissue types. Both in vitro experiment in a pig kidney and in vivo experiment in rabbit organs were performed to demonstrate the feasibility of the electrical impedance sensor. The experimental results indicated that the sensor, used with the proposed data-processing method, provides accurate and reliable biological tissue discrimination.
DOI: 10.1002/bem.21854
PubMed: 24764269
Links to Exploration step
pubmed:24764269Le document en format XML
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However, the lack of significant haptic feedback in MIS can make tissue discrimination difficult. This paper tests a noninvasive electrical impedance sensor for in vivo discrimination of tissue types in MIS. The sensor consists of two stainless steel spherical electrodes used to measure the impedance spectra over the frequency range of 200 kHz to 5 MHz. The sensor helps ensure free movement on an organ surface and prevents soft tissues from being injured during impedance measurement. Since the recorded electrical impedance is correlated with the force pressed on the electrode and the mechanical property of the tissue, the electrode-tissue contact impedance is calculated theoretically. We show that the standard deviation of the impedance ratio at each frequency point is sufficient to distinguish different tissue types. Both in vitro experiment in a pig kidney and in vivo experiment in rabbit organs were performed to demonstrate the feasibility of the electrical impedance sensor. The experimental results indicated that the sensor, used with the proposed data-processing method, provides accurate and reliable biological tissue discrimination.</div></front></TEI><pubmed><MedlineCitation Owner="NLM" Status="MEDLINE"><PMID Version="1">24764269</PMID><DateCreated><Year>2014</Year><Month>08</Month><Day>15</Day></DateCreated><DateCompleted><Year>2015</Year><Month>03</Month><Day>30</Day></DateCompleted><DateRevised><Year>2015</Year><Month>11</Month><Day>19</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1521-186X</ISSN><JournalIssue CitedMedium="Internet"><Volume>35</Volume><Issue>6</Issue><PubDate><Year>2014</Year><Month>Sep</Month></PubDate></JournalIssue><Title>Bioelectromagnetics</Title><ISOAbbreviation>Bioelectromagnetics</ISOAbbreviation></Journal><ArticleTitle>Noninvasive electrical impedance sensor for in vivo tissue discrimination at radio frequencies.</ArticleTitle><Pagination><MedlinePgn>385-95</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1002/bem.21854</ELocationID><Abstract><AbstractText>Compared to traditional open surgery, minimally invasive surgery (MIS) allows for a more rapid and less painful recovery. However, the lack of significant haptic feedback in MIS can make tissue discrimination difficult. This paper tests a noninvasive electrical impedance sensor for in vivo discrimination of tissue types in MIS. The sensor consists of two stainless steel spherical electrodes used to measure the impedance spectra over the frequency range of 200 kHz to 5 MHz. The sensor helps ensure free movement on an organ surface and prevents soft tissues from being injured during impedance measurement. Since the recorded electrical impedance is correlated with the force pressed on the electrode and the mechanical property of the tissue, the electrode-tissue contact impedance is calculated theoretically. We show that the standard deviation of the impedance ratio at each frequency point is sufficient to distinguish different tissue types. Both in vitro experiment in a pig kidney and in vivo experiment in rabbit organs were performed to demonstrate the feasibility of the electrical impedance sensor. The experimental results indicated that the sensor, used with the proposed data-processing method, provides accurate and reliable biological tissue discrimination.</AbstractText><CopyrightInformation>© 2014 Wiley Periodicals, Inc.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Dai</LastName><ForeName>Yu</ForeName><Initials>Y</Initials><AffiliationInfo><Affiliation>Institute of Robotics and Automatic Information System, Tianjin Key Laboratory of Intelligent Robotics, College of Computer and Control Engineering, Nankai University, Tianjin, P.R., China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Du</LastName><ForeName>Jun</ForeName><Initials>J</Initials></Author><Author ValidYN="Y"><LastName>Yang</LastName><ForeName>Qing</ForeName><Initials>Q</Initials></Author><Author ValidYN="Y"><LastName>Zhang</LastName><ForeName>Jianxun</ForeName><Initials>J</Initials></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2014</Year><Month>04</Month><Day>24</Day></ArticleDate></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>Bioelectromagnetics</MedlineTA><NlmUniqueID>8008281</NlmUniqueID><ISSNLinking>0197-8462</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName MajorTopicYN="N" UI="D000818">Animals</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="Y" UI="D017097">Electric Impedance</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D004566">Electrodes</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="Y" UI="D004582">Electronics, Medical</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D004867">Equipment Design</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D005240">Feasibility Studies</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D007668">Kidney</DescriptorName><QualifierName MajorTopicYN="N" UI="Q000502">physiology</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D055595">Mechanical Phenomena</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D019060">Minimally Invasive Surgical Procedures</DescriptorName><QualifierName MajorTopicYN="N" UI="Q000295">instrumentation</QualifierName><QualifierName MajorTopicYN="N" UI="Q000379">methods</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D008954">Models, Biological</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D011817">Rabbits</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="Y" UI="D011846">Radio Waves</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D012815">Signal Processing, Computer-Assisted</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D013270">Stomach</DescriptorName><QualifierName MajorTopicYN="N" UI="Q000502">physiology</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D013552">Swine</DescriptorName></MeshHeading></MeshHeadingList><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">bioimpedance sensor</Keyword><Keyword MajorTopicYN="N">contact impedance</Keyword><Keyword MajorTopicYN="N">spherical electrode</Keyword><Keyword MajorTopicYN="N">tissue discrimination</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2013</Year><Month>10</Month><Day>24</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2014</Year><Month>3</Month><Day>5</Day></PubMedPubDate><PubMedPubDate PubStatus="aheadofprint"><Year>2014</Year><Month>4</Month><Day>24</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2014</Year><Month>4</Month><Day>26</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2014</Year><Month>4</Month><Day>26</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2015</Year><Month>3</Month><Day>31</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">24764269</ArticleId><ArticleId IdType="doi">10.1002/bem.21854</ArticleId></ArticleIdList></PubmedData></pubmed></record>Pour manipuler ce document sous Unix (Dilib)
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