EKG kayıtlarından tıkayıcı uyku apne sendromunun otomatik teşhisi

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dc.contributor.authorYıldız, Abdulnasır
dc.contributor.authorAkın, Mehmet
dc.contributor.authorPoyraz, Mustafa
dc.date.accessioned2024-04-24T17:56:27Z
dc.date.available2024-04-24T17:56:27Z
dc.date.issued2010
dc.departmentDicle Üniversitesi, Mühendislik Fakültesi, Elektrik ve Elektronik Mühendisliği Bölümüen_US
dc.description18th IEEE Signal Processing and Communications Applications Conference, SIU 2010 -- 22 April 2010 through 24 April 2010 -- Diyarbakir-- 83388en_US
dc.description.abstractObstructive sleep apnoea syndrome (OSAS) is a highly prevalent sleep disorder. The traditional diagnosis methods of the disorder are cumbersome and expensive. The ability to automatically identify OSAS from ECG recordings is important for clinical diagnosis and treatment. In this study, we presented a system for the automatic recognition of patients with OSA from nocturnal electrocardiogram (ECG) recordings. The presented OSA recognition system comprises of three stages. In the first stage, an algorithm based on DWT was used to analyze ECG recordings for detection ECG-derived respiration (EDR) changes. In the second stage, a FFT based Power spectral density method was used for feature extraction from EDR changes. In the third stage, using a least squares support vector machine (LS-SVM) classifier; normal subjects were separated from subjects with OSA based on obtained features. Using 10 fold cross validation method, the accuracy of proposed system was found 96.7%. The results confirmed that the presented system can aid sleep specialists in the initial assessment of patients with suspected OSA.en_US
dc.identifier.citationYıldız, A., Akın, M. ve Poyraz, M. (2010). EKG kayıtlarından tıkayıcı uyku apne sendromunun otomatik teşhisi. SIU 2010 - IEEE 18th Signal Processing and Communications Applications Conference. 97-100.
dc.identifier.doi10.1109/SIU.2010.5652784
dc.identifier.endpage100en_US
dc.identifier.isbn9781424496716
dc.identifier.scopus2-s2.0-78651431457
dc.identifier.scopusqualityN/A
dc.identifier.startpage97en_US
dc.identifier.urihttps://doi.org/10.1109/SIU.2010.5652784
dc.identifier.urihttps://hdl.handle.net/11468/23517
dc.indekslendigikaynakScopus
dc.language.isotren_US
dc.relation.ispartofSIU 2010 - IEEE 18th Signal Processing and Communications Applications Conference
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.titleEKG kayıtlarından tıkayıcı uyku apne sendromunun otomatik teşhisien_US
dc.titleEKG kayıtlarından tıkayıcı uyku apne sendromunun otomatik teşhisi
dc.title.alternativeAutomated recognition of obstructive sleep apnoea syndrome from ECG recordingsen_US
dc.title.alternativeAutomated recognition of obstructive sleep apnoea syndrome from ECG recordings
dc.typeConference Objecten_US

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