Açık Akademik Arşiv Sistemi

Signal Processing and Communications Applications Conference

Show simple item record

dc.contributor.authors Ucar, MK; Bozkurt, MR; Polat, K; Bilgin, C;
dc.date.accessioned 2020-02-27T08:42:57Z
dc.date.available 2020-02-27T08:42:57Z
dc.date.issued 2015
dc.identifier.citation Ucar, MK; Bozkurt, MR; Polat, K; Bilgin, C; (2015). Signal Processing and Communications Applications Conference. 2015 23RD SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU), , 127-124
dc.identifier.issn 2165-0608
dc.identifier.uri https://hdl.handle.net/20.500.12619/66776
dc.description.abstract Obstructive Sleep Apnea Syndrome is one of the major diseases of our century. Diagnosis of this disease is very difficult. The reason of the difficulty is the complexity of the system. AHI index is calculated for the diagnosis of the disease as a result of respiratory scoring process. However it is necessary to use four different signals to do this operation. The reduction of signal measurements that discomforts the patient or using different signal measurements will provide the patient to sleep closer to his/her natural sleep environment which will increase the accuracy rate of the studies that are made in literature. Changes occurring in photoplethysmography signal during respiratory events were examined. In this study, the patient data that was used respiratory events were scored Changes on the photoplethysmography signals were examined. The data that were used in this study were respiratory events tagged apnea and hypopnea. For control, the photoplethysmography signals were recorded during normal breathing in sleep. The data were analyzed using the one-way analysis of variance method. According to the obtained results, the photoplethysmography signals have significant changes in between the apnea-hypopnea classes and normal classes during respiratory pauses in sleep. However, there are not significant differences between apnea and hypopnea classes. The study concluded that, in the scoring of respiratory events, photoplethysmography could be used more efficiently using a computer software.
dc.language Turkish
dc.publisher IEEE
dc.subject Telecommunications
dc.title Signal Processing and Communications Applications Conference
dc.type Proceedings Paper
dc.identifier.startpage 124
dc.identifier.endpage 127
dc.contributor.department Sakarya Üniversitesi/Mühendislik Fakültesi/Elektrik-Elektronik Mühendisliği Bölümü
dc.contributor.saüauthor Uçar, Muhammed Kürşad
dc.contributor.saüauthor Bozkurt, Mehmet Recep
dc.contributor.saüauthor Bilgin, Cahit
dc.identifier.wos WOS:000380500900010
dc.contributor.author Uçar, Muhammed Kürşad
dc.contributor.author Bozkurt, Mehmet Recep
dc.contributor.author Kemal Polat
dc.contributor.author Bilgin, Cahit

Files in this item

Files Size Format View

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record