Diagnosis Model Based on Chest Correlation Map Derived from Lung Sounds

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dc.contributor.authorArishel, Ozgur
dc.contributor.authorErgen, Ege
dc.contributor.authorSargin, Serhat Ismet
dc.contributor.authorSen, Ipek
dc.date.accessioned2026-04-04T18:55:51Z
dc.date.available2026-04-04T18:55:51Z
dc.date.issued2025
dc.departmentİstanbul Bilgi Üniversitesi
dc.description33rd Conference on Signal Processing and Communications Applications-SIU-Annual -- JUN 25-28, 2025 -- Istanbul, TURKIYE
dc.description.abstractThe increasing number of respiratory diseases worldwide increases the need for accurate diagnostic methods. Today, stethoscopes and pulmonary function tests, which are widely used in clinical practice, may be insufficient in diagnostic accuracy. To overcome this deficiency, new approaches based on computerised analysis of lung sounds are being developed. In this study, a model based on chest correlation maps is proposed for the detection of respiratory diseases. Within the scope of the study, 14-channel lung sound recordings of 120 participants (60 healthy, 60 asthma) were used and the correlation coefficients between the microphones located in the middle and lower regions were calculated according to the reference microphones placed in the upper lung region. Various features were extracted by dividing the obtained correlation coefficients by different threshold levels, and these features were given as input to the Bayesian classifier. According to the classification results, the highest F1 scores were calculated as 0.793 for the upper left reference microphone and 0.754 for the upper right reference microphone. These findings show that the proposed model provides an effective approach for the detection of respiratory diseases.
dc.description.sponsorshipInstitute of Electrical and Electronics Engineers Inc
dc.identifier.doi10.1109/SIU66497.2025.11111994
dc.identifier.doi10.1109/SIU66497.2025.11111994
dc.identifier.isbn979-8-3315-6656-2
dc.identifier.isbn979-8-3315-6655-5
dc.identifier.issn2165-0608
dc.identifier.scopus2-s2.0-105015569948
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://doi.org/10.1109/SIU66497.2025.11111994
dc.identifier.urihttps://hdl.handle.net/11411/10587
dc.identifier.wosWOS:001575462500132
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isotr
dc.publisherIeee
dc.relation.ispartof2025 33Rd Signal Processing and Communications Applications Conference, Siu
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WoS_20260402
dc.snmzKA_Scopus_20260402
dc.subjectPulmonary Sounds
dc.subjectCorrelation Analysis
dc.subjectDiagnostic Classification
dc.subjectBayesian Classifier
dc.titleDiagnosis Model Based on Chest Correlation Map Derived from Lung Sounds
dc.typeConference Object

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