A Review on Respiratory Sound Analysis using Machine Learning

dc.authoridALTAN, Gokhan/0000-0001-7883-3131
dc.contributor.authorAltan, Gokhan
dc.contributor.authorKutlu, Yakup
dc.date.accessioned2024-09-18T20:55:46Z
dc.date.available2024-09-18T20:55:46Z
dc.date.issued2016
dc.departmentHatay Mustafa Kemal Üniversitesien_US
dc.description20th National Biomedical Engineering Meeting (BIYOMUT) -- NOV 03-05, 2016 -- Izmir, TURKEYen_US
dc.description.abstractAuscultation of the respiratory sounds is an inexpensive and effective method for diagnosing cardiopulmonary disorders using lung sounds from chest and back. Nowadays, high system performances in the management of robust processes that require great attention were increased using the computer-aided analysis methods and the developments of the diagnosis system. Analysis of the respiratory sounds with computer-aided systems allows objective and useful assessments. In this study, a brief description of the abnormal respiratory sounds was presented. The main aims of the study are performing a systematic review about methods and the machine learning algorithms that are used to classify the abnormal respiratory sounds for diagnosis of cardio-pulmonary disorders and evaluating the development of possible methods on respiratory sounds in the future.en_US
dc.identifier.isbn978-1-5090-5829-7
dc.identifier.scopus2-s2.0-85015913843en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://hdl.handle.net/20.500.12483/12041
dc.identifier.wosWOS:000404996800006en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isotren_US
dc.publisherIeeeen_US
dc.relation.ispartof2016 20th National Biomedical Engineering Meeting (Biyomut)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectRespiratory soundsen_US
dc.subjectoscultationen_US
dc.subjectmachine learningen_US
dc.subjectcracklesen_US
dc.subjectwheezeen_US
dc.titleA Review on Respiratory Sound Analysis using Machine Learningen_US
dc.typeConference Objecten_US

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