Diagnosing The Breathing Sounds as COPD or Asthma

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dc.authorscopusid57964644900
dc.authorscopusid57964461600
dc.authorscopusid57220962785
dc.authorscopusid36782998200
dc.contributor.authorTurkan, B.
dc.contributor.authorAtes, A.G.
dc.contributor.authorOzdemir, O.
dc.contributor.authorSonmez, E.B.
dc.date.accessioned2024-07-18T20:17:12Z
dc.date.available2024-07-18T20:17:12Z
dc.date.issued2022
dc.description7th International Conference on Computer Science and Engineering, UBMK 2022 -- 14 September 2022 through 16 September 2022 -- -- 183844en_US
dc.description.abstractThe aim of this research is to classify recorded chest sounds to distinguish among Asthma, Bronchiolitis, Bronchiectasis, COPD, Pneumonia and URTI diseases versus Healthy sound. That is, this paper introduces and challenges a seven- class problem using one of the few publicly available collection of sounds, the Respiratory Sound database from Kaggle. The performance of several deep learning algorithms has been compared and the Convolutional Neural Network architecture resulted in the most successful model. Unlike previous papers which worked on a subset of this database, this work proposes a more comprehensive seven-class challenge to distinguish among all diseases sampled in the database. The performance of several deep-learning algorithms has been compared and the best model is described in detail. © 2022 IEEE.en_US
dc.identifier.doi10.1109/UBMK55850.2022.9919567
dc.identifier.endpage130en_US
dc.identifier.isbn9781665470100
dc.identifier.scopus2-s2.0-85141826182en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage125en_US
dc.identifier.urihttps://doi.org/10.1109/UBMK55850.2022.9919567
dc.identifier.urihttps://hdl.handle.net/11411/6441
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartofProceedings - 7th International Conference on Computer Science and Engineering, UBMK 2022en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectDeep Learningen_US
dc.subjectDiagnosing From Sounden_US
dc.subjectNeural Networksen_US
dc.subjectConvolutional Neural Networksen_US
dc.subjectDatabase Systemsen_US
dc.subjectDeep Learningen_US
dc.subjectDiagnosisen_US
dc.subjectNetwork Architectureen_US
dc.subjectBreathing Soundsen_US
dc.subjectBronchiolitisen_US
dc.subjectConvolutional Neural Networken_US
dc.subjectDeep Learningen_US
dc.subjectDiagnosing From Sounden_US
dc.subjectNeural Network Architectureen_US
dc.subjectNeural-Networksen_US
dc.subjectPerformanceen_US
dc.subjectRespiratory Soundsen_US
dc.subjectSound Databaseen_US
dc.subjectLearning Algorithmsen_US
dc.titleDiagnosing The Breathing Sounds as COPD or Asthma
dc.typeConference Object

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