Publication:
A mobile application based decision support system using oxygen saturation and pulse rate

dc.contributor.authorYıldız, Ömer
dc.contributor.authorKarlık, Sait Eser
dc.contributor.authorIEEE
dc.contributor.buuauthorYıldız, Ömer
dc.contributor.buuauthorKARLIK, SAİT ESER
dc.contributor.departmentBursa Uludağ Üniversitesi/Mühendislik Fakültesi
dc.contributor.orcid0000-0002-7398-1933
dc.contributor.researcheridAAJ-2404-2021
dc.contributor.researcheridI-7580-2016
dc.date.accessioned2024-07-24T10:15:17Z
dc.date.available2024-07-24T10:15:17Z
dc.date.issued2018-01-01
dc.descriptionBu çalışma, 02-05 Mayıs 2018 tarihlerinde İzmir[Türkiye]’de düzenlenen 26. IEEE Signal Processing and Communications Applications Conference (SIU) Kongresi‘nde bildiri olarak sunulmuştur.
dc.description.abstractThe increase in city populations and the rise in requests about healthcare services created a new area called Smart Healthcare applications. Most of the smart healthcare implementations are used in systems and their components concerning remote control of chronic illnesses. Currently, hospital and doctor visits take a big part in healthcare services for chronic patients. It can be predicted that remote health checks will be easily done for those patients in the near future. In our work, we have developed a decision support system that can be used in remote-monitoring the oxygen saturation and pulse rate values of a patient. In this system, an Android smart phone, a portable and wearable pulse oximeter, an Android Studio 2.2.2 version mobile software development kit have been used. Furthermore, the designed system contains android mobile application, Microsoft SQL database and Microsoft Visual Studio programs. The web interface created with Microsoft Visual Studio is used in real-time transmission of oxygen saturation and pulse rate values to a central patient control system where instantaneous saving of values to the Microsoft SQL database is performed. The system designed in this work has an important potential for smart healthcare applications that will be used in remote control of chronic illnesses.
dc.description.sponsorshipIEEE
dc.description.sponsorshipHuawei
dc.description.sponsorshipAselsan
dc.description.sponsorshipNETAŞ
dc.description.sponsorshipIEEE Türkiye
dc.description.sponsorshipIEEE Signal Proc Soc
dc.description.sponsorshipIEEE Commun Soc; ViSRATEK
dc.description.sponsorshipAdresgezgini
dc.description.sponsorshipRohde & Schwarz
dc.description.sponsorshipIntegrated Syst & Syst Design
dc.description.sponsorshipAtılım Üniversitesi
dc.description.sponsorshipHavelsan
dc.description.sponsorshipİzmir Katip Çelebi Üniversitesi
dc.identifier.isbn978-1-5386-1501-0
dc.identifier.issn2165-0608
dc.identifier.urihttps://hdl.handle.net/11452/43409
dc.indexed.wosWOS.ISTP
dc.language.isoen
dc.publisherIEEE
dc.relation.journal2018 26. Signal Processing And Communications Applications Conference (Siu)
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectDecision support system
dc.subjectAndroid mobile application
dc.subjectSpo2
dc.subjectPulse rate
dc.subjectPulse oximeter
dc.subjectSmart healthcare
dc.subjectSmart city
dc.subjectIot
dc.subjectScience & technology
dc.subjectTechnology
dc.subjectEngineering, electrical & electronic
dc.subjectTelecommunications
dc.subjectEngineering
dc.titleA mobile application based decision support system using oxygen saturation and pulse rate
dc.typeProceedings Paper
dspace.entity.typePublication
relation.isAuthorOfPublication0f132f65-5fb4-4eca-b987-6c1578467eef
relation.isAuthorOfPublication.latestForDiscovery0f132f65-5fb4-4eca-b987-6c1578467eef

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