Air flow estimation via a Wiener filter approach [Wiener Süzgeci Yaklaşimi ile Hava Akiş Kestirimi]

dc.contributor.authorYildirim I.
dc.contributor.authorKahya Y.P.
dc.contributor.authorSen I.
dc.date.accessioned2024-03-13T10:00:55Z
dc.date.available2024-03-13T10:00:55Z
dc.date.issued2017
dc.departmentİstanbul Beykent Üniversitesien_US
dc.description25th Signal Processing and Communications Applications Conference, SIU 2017 -- 15 May 2017 through 18 May 2017 -- -- 128703en_US
dc.description.abstractIn this work, a new methodology to estimate the respiratory air flow rate from pulmonary sounds is proposed. Previously in the literature, it has been suggested to use the auto-regressive model to estimate the flow rate from pulmonary sounds, moreover, it has been presented that sounds are more correlated with the flow rate in certain frequency bands. In this work, on the other hand, the optimal auto-regressive model order for the estimation is determined, and the estimates from the optimal auto-regressive model and from the frequency bands are combined through a Wiener filter to increase the success of the estimation. The correlation coefficient is increased to 0.71 with the proposed method, which was 0.66 for the optimal-order auto-regressive model and 0.62 for the most-correlated frequency band. © 2017 IEEE.en_US
dc.identifier.doi10.1109/SIU.2017.7960477
dc.identifier.isbn9781509064946
dc.identifier.scopus2-s2.0-85026294542en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://doi.org/10.1109/SIU.2017.7960477
dc.identifier.urihttps://hdl.handle.net/20.500.12662/2862
dc.indekslendigikaynakScopusen_US
dc.language.isotren_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartof2017 25th Signal Processing and Communications Applications Conference, SIU 2017en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectair flow estimationen_US
dc.subjectauto-regressive modelen_US
dc.subjectPulmonary soundsen_US
dc.subjectWiener filteren_US
dc.titleAir flow estimation via a Wiener filter approach [Wiener Süzgeci Yaklaşimi ile Hava Akiş Kestirimi]en_US
dc.typeConference Objecten_US

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