Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:dateCreated
2007-7-10
pubmed:abstractText
Voice disorders affect patients profoundly, and acoustic tools can potentially measure voice function objectively. Disordered sustained vowels exhibit wide-ranging phenomena, from nearly periodic to highly complex, aperiodic vibrations, and increased "breathiness". Modelling and surrogate data studies have shown significant nonlinear and non-Gaussian random properties in these sounds. Nonetheless, existing tools are limited to analysing voices displaying near periodicity, and do not account for this inherent biophysical nonlinearity and non-Gaussian randomness, often using linear signal processing methods insensitive to these properties. They do not directly measure the two main biophysical symptoms of disorder: complex nonlinear aperiodicity, and turbulent, aeroacoustic, non-Gaussian randomness. Often these tools cannot be applied to more severe disordered voices, limiting their clinical usefulness.
pubmed:commentsCorrections
http://linkedlifedata.com/resource/pubmed/commentcorrection/17594480-10089613, http://linkedlifedata.com/resource/pubmed/commentcorrection/17594480-10498051, http://linkedlifedata.com/resource/pubmed/commentcorrection/17594480-11307610, http://linkedlifedata.com/resource/pubmed/commentcorrection/17594480-11681389, http://linkedlifedata.com/resource/pubmed/commentcorrection/17594480-11785822, http://linkedlifedata.com/resource/pubmed/commentcorrection/17594480-12430824, http://linkedlifedata.com/resource/pubmed/commentcorrection/17594480-12430825, http://linkedlifedata.com/resource/pubmed/commentcorrection/17594480-12612550, http://linkedlifedata.com/resource/pubmed/commentcorrection/17594480-12880056, http://linkedlifedata.com/resource/pubmed/commentcorrection/17594480-14765711, http://linkedlifedata.com/resource/pubmed/commentcorrection/17594480-15139638, http://linkedlifedata.com/resource/pubmed/commentcorrection/17594480-15373870, http://linkedlifedata.com/resource/pubmed/commentcorrection/17594480-15964740, http://linkedlifedata.com/resource/pubmed/commentcorrection/17594480-16119362, http://linkedlifedata.com/resource/pubmed/commentcorrection/17594480-16266175, http://linkedlifedata.com/resource/pubmed/commentcorrection/17594480-16301098, http://linkedlifedata.com/resource/pubmed/commentcorrection/17594480-16454308, http://linkedlifedata.com/resource/pubmed/commentcorrection/17594480-7699169, http://linkedlifedata.com/resource/pubmed/commentcorrection/17594480-7823547, http://linkedlifedata.com/resource/pubmed/commentcorrection/17594480-8114479, http://linkedlifedata.com/resource/pubmed/commentcorrection/17594480-8734387, http://linkedlifedata.com/resource/pubmed/commentcorrection/17594480-9228825, http://linkedlifedata.com/resource/pubmed/commentcorrection/17594480-9241523, http://linkedlifedata.com/resource/pubmed/commentcorrection/17594480-9348696, http://linkedlifedata.com/resource/pubmed/commentcorrection/17594480-9509746, http://linkedlifedata.com/resource/pubmed/commentcorrection/17594480-9514027
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:issn
1475-925X
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
6
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
23
pubmed:dateRevised
2010-9-15
pubmed:meshHeading
pubmed:year
2007
pubmed:articleTitle
Exploiting nonlinear recurrence and fractal scaling properties for voice disorder detection.
pubmed:affiliation
Systems Analysis, Modelling and Prediction Group, Department of Engineering Science, University of Oxford, Oxford, UK. littlem@robots.ox.ac.uk
pubmed:publicationType
Journal Article, Comparative Study, Research Support, Non-U.S. Gov't, Evaluation Studies