Linked Life Data

12874661

Source:http://linkedlifedata.com/resource/pubmed/id/12874661

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
3
pubmed:dateCreated
2003-7-22
pubmed:abstractText
A central point for quantitative evaluation of pathological and healthy voices is the analysis of vocal fold oscillations. By means of digital High Speed Glottography (HGG), vocal fold oscillations can be recorded in real time. Recently, a numerical inversion procedure was developed that allows the extraction of physiological parameters from digital high speed videos and a classification of voice disorders. The aim of this work was to validate the inversion procedure and to investigate the applicability to normal voices.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:issn
0026-1270
pubmed:author
pubmed:issnType
Print
pubmed:volume
42
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
271-6
pubmed:dateRevised
2006-11-15
pubmed:meshHeading
pubmed:year
2003
pubmed:articleTitle
Normal voice production: computation of driving parameters from endoscopic digital high speed images.
pubmed:affiliation
Department of Phoniatrics and Pediatric Audiology, University of Erlangen-Nuremberg, Erlangen, Germany. michael.doellinger@phoni.imed.uni-erlangen.de
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't, Validation Studies