A Lung Sound Classification System based on the Rational Dilation Wavelet Transform
dc.authorid | Ulukaya, Sezer/0000-0003-0473-7547 | |
dc.authorid | Serbes, Gorkem/0000-0003-4591-7368 | |
dc.authorwosid | Kahya, Yasemin P/Q-1766-2015 | |
dc.authorwosid | Ulukaya, Sezer/N-9772-2015 | |
dc.authorwosid | Ulukaya, Sezer/HJY-5331-2023 | |
dc.authorwosid | Serbes, Gorkem/AAZ-8822-2020 | |
dc.contributor.author | Ulukaya, Sezer | |
dc.contributor.author | Serbes, Gorkem | |
dc.contributor.author | Sen, Ipek | |
dc.contributor.author | Kahya, Yasemin P. | |
dc.date.accessioned | 2024-06-12T11:18:56Z | |
dc.date.available | 2024-06-12T11:18:56Z | |
dc.date.issued | 2016 | |
dc.department | Trakya Üniversitesi | en_US |
dc.description | 38th Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society (EMBC) -- AUG 16-20, 2016 -- Orlando, FL | en_US |
dc.description.abstract | I n this work, a wavelet based classification system that aims to discriminate crackle, normal and wheeze lung sounds is presented. While the previous works related with this problem use constant low Q-factor wavelets, which have limited frequency resolution and can not cope with oscillatory signals, in the proposed system, the Rational Dilation Wavelet Transform, whose Q-factors can be tuned, is employed. Proposed system yields an accuracy of 95 % for crackle, 97 % for wheeze, 93.50 % for normal and 95.17 % for total sound signal types using energy feature subset and proposed approach is superior to conventional low Q-factor wavelet analysis. | en_US |
dc.description.sponsorship | IEEE Engn Med & Biol Soc | en_US |
dc.description.sponsorship | Bogazici University [16A02D2]; Turkish Scientific Technical Research Council (TUBITAK) [2211] | en_US |
dc.description.sponsorship | This work was supported by Bogazici University Research Fund under grant number 16A02D2. The work of S. Ulukaya is supported by the Ph.D. scholarship (2211) from Turkish Scientific Technical Research Council (TUBITAK). | en_US |
dc.identifier.endpage | 3748 | en_US |
dc.identifier.issn | 1557-170X | |
dc.identifier.issn | 1558-4615 | |
dc.identifier.pmid | 28269104 | en_US |
dc.identifier.scopus | 2-s2.0-85009090839 | en_US |
dc.identifier.scopusquality | N/A | en_US |
dc.identifier.startpage | 3745 | en_US |
dc.identifier.uri | https://hdl.handle.net/20.500.14551/25008 | |
dc.identifier.wos | WOS:000399823504025 | en_US |
dc.identifier.wosquality | N/A | en_US |
dc.indekslendigikaynak | Web of Science | en_US |
dc.indekslendigikaynak | Scopus | en_US |
dc.indekslendigikaynak | PubMed | en_US |
dc.language.iso | en | en_US |
dc.publisher | IEEE | en_US |
dc.relation.ispartof | 2016 38th Annual International Conference Of The Ieee Engineering In Medicine And Biology Society (Embc) | en_US |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Frequency | en_US |
dc.title | A Lung Sound Classification System based on the Rational Dilation Wavelet Transform | en_US |
dc.type | Conference Object | en_US |