A generalized procedure for analyzing sustained and dynamic vocal fold vibrations from laryngeal high-speed videos using phonovibrograms.
Identifieur interne : 000179 ( PubMed/Corpus ); précédent : 000178; suivant : 000180A generalized procedure for analyzing sustained and dynamic vocal fold vibrations from laryngeal high-speed videos using phonovibrograms.
Auteurs : Jakob Unger ; Maria Schuster ; Dietmar J. Hecker ; Bernhard Schick ; Jörg LohschellerSource :
- Artificial intelligence in medicine [ 1873-2860 ] ; 2016.
English descriptors
- KwdEn :
- Adult, Aged, Biomechanical Phenomena, Case-Control Studies, Female, Humans, Image Interpretation, Computer-Assisted (methods), Laryngoscopy (methods), Larynx (pathology), Larynx (physiopathology), Male, Middle Aged, Pattern Recognition, Automated, Phonation, Predictive Value of Tests, Principal Component Analysis, Reproducibility of Results, Support Vector Machine, Time Factors, Vibration, Video Recording, Vocal Cords (pathology), Vocal Cords (physiopathology), Voice Disorders (diagnosis), Voice Disorders (pathology), Voice Disorders (physiopathology), Voice Quality, Wavelet Analysis.
- MESH :
- diagnosis : Voice Disorders.
- methods : Image Interpretation, Computer-Assisted, Laryngoscopy.
- pathology : Larynx, Vocal Cords, Voice Disorders.
- physiopathology : Larynx, Vocal Cords, Voice Disorders.
- Adult, Aged, Biomechanical Phenomena, Case-Control Studies, Female, Humans, Male, Middle Aged, Pattern Recognition, Automated, Phonation, Predictive Value of Tests, Principal Component Analysis, Reproducibility of Results, Support Vector Machine, Time Factors, Vibration, Video Recording, Voice Quality, Wavelet Analysis.
Abstract
This work presents a computer-based approach to analyze the two-dimensional vocal fold dynamics of endoscopic high-speed videos, and constitutes an extension and generalization of a previously proposed wavelet-based procedure. While most approaches aim for analyzing sustained phonation conditions, the proposed method allows for a clinically adequate analysis of both dynamic as well as sustained phonation paradigms.
DOI: 10.1016/j.artmed.2015.10.002
PubMed: 26597002
Links to Exploration step
pubmed:26597002Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">A generalized procedure for analyzing sustained and dynamic vocal fold vibrations from laryngeal high-speed videos using phonovibrograms.</title><author><name sortKey="Unger, Jakob" sort="Unger, Jakob" uniqKey="Unger J" first="Jakob" last="Unger">Jakob Unger</name><affiliation><nlm:affiliation>Department of Computer Science, Trier University of Applied Sciences, Schneidershof, 54293 Trier, Germany. Electronic address: jakob.unger@lfb.rwth-aachen.de.</nlm:affiliation></affiliation></author><author><name sortKey="Schuster, Maria" sort="Schuster, Maria" uniqKey="Schuster M" first="Maria" last="Schuster">Maria Schuster</name><affiliation><nlm:affiliation>Department of Otorhinolaryngology and Head and Neck Surgery, University of Munich, Campus Grosshadern, Marchioninistr. 13, 81366 München, Germany.</nlm:affiliation></affiliation></author><author><name sortKey="Hecker, Dietmar J" sort="Hecker, Dietmar J" uniqKey="Hecker D" first="Dietmar J" last="Hecker">Dietmar J. Hecker</name><affiliation><nlm:affiliation>Department of Otorhinolaryngology, Saarland University Hospital, Kirrbergerstr., 66424 Homburg/Saar, Germany.</nlm:affiliation></affiliation></author><author><name sortKey="Schick, Bernhard" sort="Schick, Bernhard" uniqKey="Schick B" first="Bernhard" last="Schick">Bernhard Schick</name><affiliation><nlm:affiliation>Department of Otorhinolaryngology, Saarland University Hospital, Kirrbergerstr., 66424 Homburg/Saar, Germany.</nlm:affiliation></affiliation></author><author><name sortKey="Lohscheller, Jorg" sort="Lohscheller, Jorg" uniqKey="Lohscheller J" first="Jörg" last="Lohscheller">Jörg Lohscheller</name><affiliation><nlm:affiliation>Department of Computer Science, Trier University of Applied Sciences, Schneidershof, 54293 Trier, Germany.</nlm:affiliation></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2016">2016</date><idno type="RBID">pubmed:26597002</idno><idno type="pmid">26597002</idno><idno type="doi">10.1016/j.artmed.2015.10.002</idno><idno type="wicri:Area/PubMed/Corpus">000179</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Corpus" wicri:corpus="PubMed">000179</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">A generalized procedure for analyzing sustained and dynamic vocal fold vibrations from laryngeal high-speed videos using phonovibrograms.</title><author><name sortKey="Unger, Jakob" sort="Unger, Jakob" uniqKey="Unger J" first="Jakob" last="Unger">Jakob Unger</name><affiliation><nlm:affiliation>Department of Computer Science, Trier University of Applied Sciences, Schneidershof, 54293 Trier, Germany. Electronic address: jakob.unger@lfb.rwth-aachen.de.</nlm:affiliation></affiliation></author><author><name sortKey="Schuster, Maria" sort="Schuster, Maria" uniqKey="Schuster M" first="Maria" last="Schuster">Maria Schuster</name><affiliation><nlm:affiliation>Department of Otorhinolaryngology and Head and Neck Surgery, University of Munich, Campus Grosshadern, Marchioninistr. 13, 81366 München, Germany.</nlm:affiliation></affiliation></author><author><name sortKey="Hecker, Dietmar J" sort="Hecker, Dietmar J" uniqKey="Hecker D" first="Dietmar J" last="Hecker">Dietmar J. Hecker</name><affiliation><nlm:affiliation>Department of Otorhinolaryngology, Saarland University Hospital, Kirrbergerstr., 66424 Homburg/Saar, Germany.</nlm:affiliation></affiliation></author><author><name sortKey="Schick, Bernhard" sort="Schick, Bernhard" uniqKey="Schick B" first="Bernhard" last="Schick">Bernhard Schick</name><affiliation><nlm:affiliation>Department of Otorhinolaryngology, Saarland University Hospital, Kirrbergerstr., 66424 Homburg/Saar, Germany.</nlm:affiliation></affiliation></author><author><name sortKey="Lohscheller, Jorg" sort="Lohscheller, Jorg" uniqKey="Lohscheller J" first="Jörg" last="Lohscheller">Jörg Lohscheller</name><affiliation><nlm:affiliation>Department of Computer Science, Trier University of Applied Sciences, Schneidershof, 54293 Trier, Germany.</nlm:affiliation></affiliation></author></analytic><series><title level="j">Artificial intelligence in medicine</title><idno type="eISSN">1873-2860</idno><imprint><date when="2016" type="published">2016</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adult</term><term>Aged</term><term>Biomechanical Phenomena</term><term>Case-Control Studies</term><term>Female</term><term>Humans</term><term>Image Interpretation, Computer-Assisted (methods)</term><term>Laryngoscopy (methods)</term><term>Larynx (pathology)</term><term>Larynx (physiopathology)</term><term>Male</term><term>Middle Aged</term><term>Pattern Recognition, Automated</term><term>Phonation</term><term>Predictive Value of Tests</term><term>Principal Component Analysis</term><term>Reproducibility of Results</term><term>Support Vector Machine</term><term>Time Factors</term><term>Vibration</term><term>Video Recording</term><term>Vocal Cords (pathology)</term><term>Vocal Cords (physiopathology)</term><term>Voice Disorders (diagnosis)</term><term>Voice Disorders (pathology)</term><term>Voice Disorders (physiopathology)</term><term>Voice Quality</term><term>Wavelet Analysis</term></keywords><keywords scheme="MESH" qualifier="diagnosis" xml:lang="en"><term>Voice Disorders</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Image Interpretation, Computer-Assisted</term><term>Laryngoscopy</term></keywords><keywords scheme="MESH" qualifier="pathology" xml:lang="en"><term>Larynx</term><term>Vocal Cords</term><term>Voice Disorders</term></keywords><keywords scheme="MESH" qualifier="physiopathology" xml:lang="en"><term>Larynx</term><term>Vocal Cords</term><term>Voice Disorders</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Adult</term><term>Aged</term><term>Biomechanical Phenomena</term><term>Case-Control Studies</term><term>Female</term><term>Humans</term><term>Male</term><term>Middle Aged</term><term>Pattern Recognition, Automated</term><term>Phonation</term><term>Predictive Value of Tests</term><term>Principal Component Analysis</term><term>Reproducibility of Results</term><term>Support Vector Machine</term><term>Time Factors</term><term>Vibration</term><term>Video Recording</term><term>Voice Quality</term><term>Wavelet Analysis</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">This work presents a computer-based approach to analyze the two-dimensional vocal fold dynamics of endoscopic high-speed videos, and constitutes an extension and generalization of a previously proposed wavelet-based procedure. While most approaches aim for analyzing sustained phonation conditions, the proposed method allows for a clinically adequate analysis of both dynamic as well as sustained phonation paradigms.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">26597002</PMID><DateCreated><Year>2016</Year><Month>02</Month><Day>19</Day></DateCreated><DateCompleted><Year>2016</Year><Month>12</Month><Day>13</Day></DateCompleted><DateRevised><Year>2016</Year><Month>12</Month><Day>30</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1873-2860</ISSN><JournalIssue CitedMedium="Internet"><Volume>66</Volume><PubDate><Year>2016</Year><Month>Jan</Month></PubDate></JournalIssue><Title>Artificial intelligence in medicine</Title><ISOAbbreviation>Artif Intell Med</ISOAbbreviation></Journal><ArticleTitle>A generalized procedure for analyzing sustained and dynamic vocal fold vibrations from laryngeal high-speed videos using phonovibrograms.</ArticleTitle><Pagination><MedlinePgn>15-28</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1016/j.artmed.2015.10.002</ELocationID><ELocationID EIdType="pii" ValidYN="Y">S0933-3657(15)00140-2</ELocationID><Abstract><AbstractText Label="OBJECTIVE" NlmCategory="OBJECTIVE">This work presents a computer-based approach to analyze the two-dimensional vocal fold dynamics of endoscopic high-speed videos, and constitutes an extension and generalization of a previously proposed wavelet-based procedure. While most approaches aim for analyzing sustained phonation conditions, the proposed method allows for a clinically adequate analysis of both dynamic as well as sustained phonation paradigms.</AbstractText><AbstractText Label="MATERIALS AND METHODS" NlmCategory="METHODS">The analysis procedure is based on a spatio-temporal visualization technique, the phonovibrogram, that facilitates the documentation of the visible laryngeal dynamics. From the phonovibrogram, a low-dimensional set of features is computed using a principle component analysis strategy that quantifies the type of vibration patterns, irregularity, lateral symmetry and synchronicity, as a function of time. Two different test bench data sets are used to validate the approach: (I) 150 healthy and pathologic subjects examined during sustained phonation. (II) 20 healthy and pathologic subjects that were examined twice: during sustained phonation and a glissando from a low to a higher fundamental frequency. In order to assess the discriminative power of the extracted features, a Support Vector Machine is trained to distinguish between physiologic and pathologic vibrations. The results for sustained phonation sequences are compared to the previous approach. Finally, the classification performance of the stationary analyzing procedure is compared to the transient analysis of the glissando maneuver.</AbstractText><AbstractText Label="RESULTS" NlmCategory="RESULTS">For the first test bench the proposed procedure outperformed the previous approach (proposed feature set: accuracy: 91.3%, sensitivity: 80%, specificity: 97%, previous approach: accuracy: 89.3%, sensitivity: 76%, specificity: 96%). Comparing the classification performance of the second test bench further corroborates that analyzing transient paradigms provides clear additional diagnostic value (glissando maneuver: accuracy: 90%, sensitivity: 100%, specificity: 80%, sustained phonation: accuracy: 75%, sensitivity: 80%, specificity: 70%).</AbstractText><AbstractText Label="CONCLUSIONS" NlmCategory="CONCLUSIONS">The incorporation of parameters describing the temporal evolvement of vocal fold vibration clearly improves the automatic identification of pathologic vibration patterns. Furthermore, incorporating a dynamic phonation paradigm provides additional valuable information about the underlying laryngeal dynamics that cannot be derived from sustained conditions. The proposed generalized approach provides a better overall classification performance than the previous approach, and hence constitutes a new advantageous tool for an improved clinical diagnosis of voice disorders.</AbstractText><CopyrightInformation>Copyright © 2015 Elsevier B.V. All rights reserved.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Unger</LastName><ForeName>Jakob</ForeName><Initials>J</Initials><AffiliationInfo><Affiliation>Department of Computer Science, Trier University of Applied Sciences, Schneidershof, 54293 Trier, Germany. Electronic address: jakob.unger@lfb.rwth-aachen.de.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Schuster</LastName><ForeName>Maria</ForeName><Initials>M</Initials><AffiliationInfo><Affiliation>Department of Otorhinolaryngology and Head and Neck Surgery, University of Munich, Campus Grosshadern, Marchioninistr. 13, 81366 München, Germany.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Hecker</LastName><ForeName>Dietmar J</ForeName><Initials>DJ</Initials><AffiliationInfo><Affiliation>Department of Otorhinolaryngology, Saarland University Hospital, Kirrbergerstr., 66424 Homburg/Saar, Germany.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Schick</LastName><ForeName>Bernhard</ForeName><Initials>B</Initials><AffiliationInfo><Affiliation>Department of Otorhinolaryngology, Saarland University Hospital, Kirrbergerstr., 66424 Homburg/Saar, Germany.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Lohscheller</LastName><ForeName>Jörg</ForeName><Initials>J</Initials><AffiliationInfo><Affiliation>Department of Computer Science, Trier University of Applied Sciences, Schneidershof, 54293 Trier, Germany.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D003160">Comparative Study</PublicationType><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2015</Year><Month>10</Month><Day>30</Day></ArticleDate></Article><MedlineJournalInfo><Country>Netherlands</Country><MedlineTA>Artif Intell Med</MedlineTA><NlmUniqueID>8915031</NlmUniqueID><ISSNLinking>0933-3657</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D000328" MajorTopicYN="N">Adult</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000368" MajorTopicYN="N">Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D001696" MajorTopicYN="N">Biomechanical Phenomena</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D016022" MajorTopicYN="N">Case-Control Studies</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D007090" MajorTopicYN="N">Image Interpretation, Computer-Assisted</DescriptorName><QualifierName UI="Q000379" MajorTopicYN="Y">methods</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D007828" MajorTopicYN="N">Laryngoscopy</DescriptorName><QualifierName UI="Q000379" MajorTopicYN="Y">methods</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D007830" MajorTopicYN="N">Larynx</DescriptorName><QualifierName UI="Q000473" MajorTopicYN="N">pathology</QualifierName><QualifierName UI="Q000503" MajorTopicYN="Y">physiopathology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008875" MajorTopicYN="N">Middle Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D010363" MajorTopicYN="N">Pattern Recognition, Automated</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D010699" MajorTopicYN="Y">Phonation</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D011237" MajorTopicYN="N">Predictive Value of Tests</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D025341" MajorTopicYN="N">Principal Component Analysis</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D015203" MajorTopicYN="N">Reproducibility of Results</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D060388" MajorTopicYN="Y">Support Vector Machine</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D013997" MajorTopicYN="N">Time Factors</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D014732" MajorTopicYN="N">Vibration</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D014741" MajorTopicYN="Y">Video Recording</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D014827" MajorTopicYN="N">Vocal Cords</DescriptorName><QualifierName UI="Q000473" MajorTopicYN="N">pathology</QualifierName><QualifierName UI="Q000503" MajorTopicYN="Y">physiopathology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D014832" MajorTopicYN="N">Voice Disorders</DescriptorName><QualifierName UI="Q000175" MajorTopicYN="Y">diagnosis</QualifierName><QualifierName UI="Q000473" MajorTopicYN="N">pathology</QualifierName><QualifierName UI="Q000503" MajorTopicYN="N">physiopathology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D014833" MajorTopicYN="Y">Voice Quality</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D058067" MajorTopicYN="N">Wavelet Analysis</DescriptorName></MeshHeading></MeshHeadingList><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">Dynamic phonation</Keyword><Keyword MajorTopicYN="N">High-speed laryngoscopy</Keyword><Keyword MajorTopicYN="N">Multiscale product</Keyword><Keyword MajorTopicYN="N">Voice disorder</Keyword><Keyword MajorTopicYN="N">Wavelet ridge</Keyword><Keyword MajorTopicYN="N">Wavelet-based analysis</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2015</Year><Month>01</Month><Day>16</Day></PubMedPubDate><PubMedPubDate PubStatus="revised"><Year>2015</Year><Month>09</Month><Day>28</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2015</Year><Month>10</Month><Day>20</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2015</Year><Month>11</Month><Day>25</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2015</Year><Month>11</Month><Day>26</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2016</Year><Month>12</Month><Day>15</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">26597002</ArticleId><ArticleId IdType="pii">S0933-3657(15)00140-2</ArticleId><ArticleId IdType="doi">10.1016/j.artmed.2015.10.002</ArticleId></ArticleIdList></PubmedData></pubmed></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Wicri/Rhénanie/explor/UnivTrevesV1/Data/PubMed/Corpus
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000179 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/PubMed/Corpus/biblio.hfd -nk 000179 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Wicri/Rhénanie
|area= UnivTrevesV1
|flux= PubMed
|étape= Corpus
|type= RBID
|clé= pubmed:26597002
|texte= A generalized procedure for analyzing sustained and dynamic vocal fold vibrations from laryngeal high-speed videos using phonovibrograms.
}}
Pour générer des pages wiki
HfdIndexSelect -h $EXPLOR_AREA/Data/PubMed/Corpus/RBID.i -Sk "pubmed:26597002" \
| HfdSelect -Kh $EXPLOR_AREA/Data/PubMed/Corpus/biblio.hfd \
| NlmPubMed2Wicri -a UnivTrevesV1
| This area was generated with Dilib version V0.6.31. |  |