A Novel Method for Determination of Wheeze Type

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dc.authoridUlukaya, Sezer/0000-0003-0473-7547;
dc.authorwosidKahya, Yasemin P/Q-1766-2015
dc.authorwosidUlukaya, Sezer/N-9772-2015
dc.authorwosidUlukaya, Sezer/HJY-5331-2023
dc.contributor.authorUlukaya, Sezer
dc.contributor.authorSen, Ipek
dc.contributor.authorKahya, Yasemin P.
dc.date.accessioned2024-06-12T11:08:54Z
dc.date.available2024-06-12T11:08:54Z
dc.date.issued2015
dc.departmentTrakya Üniversitesien_US
dc.description23nd Signal Processing and Communications Applications Conference (SIU) -- MAY 16-19, 2015 -- Inonu Univ, Malatya, TURKEYen_US
dc.description.abstractAmong respiratory disorders, obstructive diseases such as asthma and chronic obstructive pulmonary disease (COPD) constitute an important group. To our knowledge, there does not exist a study in the literature that quantifies the relationship between the type of wheeze and the type or severity of the disease. This study, aims at classifying wheeze type rather than classical normal-wheeze sound classification studies in the literature. In this study, we propose a method based on Multiple Signal Classification (MUSIC) algorithm to differentiate between monophonic and polyphonic wheezes, without a need for pre-training the algorithm. The algorithm determines the true labels of monophonic and polyphonic wheezes with 100% and 78% accuracy, respectively. Since there does not exist a method in the literature that has been proposed specifically for this problem, only the results of the most relevant few studies have been presented. Since the proposed system can directly estimate the frequency, we consider the method proposed here would be a useful quantification method for further studies in medical literature, on finding correlations between wheezes and disorders.en_US
dc.description.sponsorshipDept Comp Engn & Elect & Elect Engn,Elect & Elect Engn,Bilkent Univen_US
dc.identifier.endpage2004en_US
dc.identifier.isbn978-1-4673-7386-9
dc.identifier.issn2165-0608
dc.identifier.scopus2-s2.0-84939151315en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage2001en_US
dc.identifier.urihttps://hdl.handle.net/20.500.14551/22593
dc.identifier.wosWOS:000380500900480en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isotren_US
dc.publisherIEEEen_US
dc.relation.ispartof2015 23rd Signal Processing And Communications Applications Conference (Siu)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectMUSICen_US
dc.subjectMonophonicen_US
dc.subjectPolyphonicen_US
dc.subjectFrequency Estimationen_US
dc.subjectSubspace Methodsen_US
dc.subjectLung Sounden_US
dc.subjectRespiratory Soundsen_US
dc.titleA Novel Method for Determination of Wheeze Typeen_US
dc.typeConference Objecten_US

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