Respiratory Adventitious Sound Classification Using Third-order Difference Plots

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dc.contributor.authorSevil, Arif Emre
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.abstractThis study aims to classify abnormal respiratory sounds such as crackles and wheezes using third order difference plots. After obtaining difference plots from normal respiratory sound segments and segments with crackles and wheezes, the eigenvalues of the covariance matrices were calculated and used as features for classification. Binary classifications were performed using the decision tree algorithm, where the performances were evaluated through 10-fold cross-validation. Generally, higher performances were observed in distinguishing crackles and in the inspiration phase. The highest performance was achieved in crackle vs. normal classification in inspiration with an accuracy rate of 82%. This performance, obtained without additional features, suggests that difference plots are suitable tools for the classification of normal and abnormal respiratory sounds. In the future, it is aimed to test other classification algorithms, to improve the methodology with preprocessing steps applied on the signals and with new discriminative features calculated from the plots, and finally, to develop the three-class classifier for the form of usage that will benefit the clinical practice.
dc.description.sponsorshipInstitute of Electrical and Electronics Engineers Inc
dc.identifier.doi10.1109/SIU66497.2025.11111797
dc.identifier.doi10.1109/SIU66497.2025.11111797
dc.identifier.isbn979-8-3315-6656-2
dc.identifier.isbn979-8-3315-6655-5
dc.identifier.issn2165-0608
dc.identifier.scopus2-s2.0-105015444304
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://doi.org/10.1109/SIU66497.2025.11111797
dc.identifier.urihttps://hdl.handle.net/11411/10586
dc.identifier.wosWOS:001575462500031
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.subjectRespiratory Sounds Analysis
dc.subjectThird Order Difference Plot (Todp)
dc.subjectAdventitous Sounds Classification
dc.subjectDecision Tree
dc.titleRespiratory Adventitious Sound Classification Using Third-order Difference Plots
dc.typeConference Object

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